sentence1 stringlengths 223 9.31k | labels stringclasses 6
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Question: What is the sport with the most scholarship students?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games.... | none | {"database_id": "game_1", "id": "be2f7586bcb58b9a7445345c6712451bc3e441901397fe1315bf83ec480aee46", "query_sha256": "d508dcc93f6ab56efdd8bb7bbea3573a0fba27434c8b205bf32ce03f8d5cd692", "split_group_id": "game_1"} |
Question: How many students play video games?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games.GName (text)
Video... | count | {"database_id": "game_1", "id": "9be2fc48b4259759fa44bc84d4818595e2872b365ff0a83e4b10d2c97080906d", "query_sha256": "f708efcf7f158fe709ab60368e2beef2fea5b69df8f5444a3143d4b72aad67d5", "split_group_id": "game_1"} |
Question: How many different students play games?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games.GName (text)
V... | count | {"database_id": "game_1", "id": "f01e024d4a84eb2e40395f3039ff91f78aa55df77ea634acc414680dac085865", "query_sha256": "f708efcf7f158fe709ab60368e2beef2fea5b69df8f5444a3143d4b72aad67d5", "split_group_id": "game_1"} |
Question: Show the game name that has most number of hours played.
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Gam... | none | {"database_id": "game_1", "id": "383e7aa37e69fb89122427beb77dacbd9212c8d1a7a6f345650579f4e6554a8c", "query_sha256": "cc1a5386660d5fa19026dc5135242a9f418f60d4899a4a70760583bfc95fca68", "split_group_id": "game_1"} |
Question: What is the name of the game that has been played the most?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_... | none | {"database_id": "game_1", "id": "1b85e1f9f301144dbd813d44763dd88e43ce205d0b61455c86af6cd039fb5862", "query_sha256": "cc1a5386660d5fa19026dc5135242a9f418f60d4899a4a70760583bfc95fca68", "split_group_id": "game_1"} |
Question: Show all game names played by at least 1000 hours.
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games.GNa... | none | {"database_id": "game_1", "id": "0ab2a19af7c6593a694766f9ba91780498ef50b7695bb4cad3898bcda8c00716", "query_sha256": "647fbb53a297a0b992ee8006a55b40088332cfb0d5a5fa7a713c45b7a56e5040", "split_group_id": "game_1"} |
Question: What are the names of all the games that have been played for at least 1000 hours?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games... | none | {"database_id": "game_1", "id": "08611a396a6ab327147853d4f3356d36678f4ec35a9e555949de25815ac621d6", "query_sha256": "647fbb53a297a0b992ee8006a55b40088332cfb0d5a5fa7a713c45b7a56e5040", "split_group_id": "game_1"} |
Question: Show all game names played by Linda Smith
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games.GName (text)... | none | {"database_id": "game_1", "id": "31bac93fb9a87b066cc46cae7f42eefc8ce889f10e18975fa325955f266be786", "query_sha256": "58d9fe0dbc94d65f5e4a72fa90d740c5e4164011ed90233974a0f0322a560c51", "split_group_id": "game_1"} |
Question: What are the names of all games played by Linda Smith?
Database columns:
all rows (*) (text)
Student.StuID (number)
Student.LName (text)
Student.Fname (text)
Student.Age (number)
Student.Sex (text)
Student.Major (number)
Student.Advisor (number)
Student.city_code (text)
Video_Games.GameID (number)
Video_Games... | none | {"database_id": "game_1", "id": "56477c72517288de33a94c483497dc46de2e9284cb9d500bb30fa42d1dcc5e89", "query_sha256": "58d9fe0dbc94d65f5e4a72fa90d740c5e4164011ed90233974a0f0322a560c51", "split_group_id": "game_1"} |
Question: Find the name of all customers.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id (n... | none | {"database_id": "customers_and_addresses", "id": "dd8d3490b6dcaddbcff91b3ed1a9b1a36ac12331e22c8dbc4287423c112945a9", "query_sha256": "9bee3a2f18b10b78fbdc429ae0d54c6226e3150fdee6726630300af89591baef", "split_group_id": "customers_and_addresses"} |
Question: What are the names of all the customers?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.prod... | none | {"database_id": "customers_and_addresses", "id": "bd8b1eefe4af727fe5ec840b2ac7b92896d744f11a5b1fb007387cd1ddb6feb2", "query_sha256": "9bee3a2f18b10b78fbdc429ae0d54c6226e3150fdee6726630300af89591baef", "split_group_id": "customers_and_addresses"} |
Question: How many customers are there?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id (num... | count | {"database_id": "customers_and_addresses", "id": "fd121d4f8da7e8f8fa88263c34acbe613f8235d303170a04a949e3d9a10373dc", "query_sha256": "40f34818e8bad348e339da05a791ed41d849222ffb32d503fa8a8e0885144d82", "split_group_id": "customers_and_addresses"} |
Question: Return the total number of distinct customers.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Product... | count | {"database_id": "customers_and_addresses", "id": "0d7400d946c2a6c267ab97a3c6930819a3feb4df87e66362458870c5fb0f814e", "query_sha256": "40f34818e8bad348e339da05a791ed41d849222ffb32d503fa8a8e0885144d82", "split_group_id": "customers_and_addresses"} |
Question: What is the average amount of items ordered in each order?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (t... | average | {"database_id": "customers_and_addresses", "id": "7b7496c13812a0d1353891ca10e0db796dd73281b4d1ad9ee2102fc3d78651da", "query_sha256": "6130639a05bddcc7d43b96fce49aef29670e6ce9ddff9204666b98abdcbaa05a", "split_group_id": "customers_and_addresses"} |
Question: Find the average order quantity per order.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.pr... | average | {"database_id": "customers_and_addresses", "id": "921b081e974221799d0b84b1520a4b7a50a602f53d98f19e8fce491735f22493", "query_sha256": "6130639a05bddcc7d43b96fce49aef29670e6ce9ddff9204666b98abdcbaa05a", "split_group_id": "customers_and_addresses"} |
Question: What are the names of customers who use payment method "Cash"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_detail... | none | {"database_id": "customers_and_addresses", "id": "6fcadd4bb562071ee1502385d42c8e457f9ea54da0a12def109961520c9fa109", "query_sha256": "d813c927ba4f5ae9d8953801ef9d7aa72122cee6a2f64dfc181ae9d327789f44", "split_group_id": "customers_and_addresses"} |
Question: Which customers use "Cash" for payment method? Return the customer names.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_add... | none | {"database_id": "customers_and_addresses", "id": "e570fe7b16c076d12fcfc732d2f9f07925788ef31d31687da97e5dcb11ab2829", "query_sha256": "d813c927ba4f5ae9d8953801ef9d7aa72122cee6a2f64dfc181ae9d327789f44", "split_group_id": "customers_and_addresses"} |
Question: Find the "date became customers" of the customers whose ID is between 10 and 20.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.ot... | none | {"database_id": "customers_and_addresses", "id": "5c3e2814f441f8ef97c46cc117a9dd8ab4bc06675851e73d04abdbdca9bd12ca", "query_sha256": "dabbd0cba1dd2731f58a1211e3fe1de9f86c4e67583f187c3ca896452499bbd5", "split_group_id": "customers_and_addresses"} |
Question: What are the dates when customers with ids between 10 and 20 became customers?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.othe... | none | {"database_id": "customers_and_addresses", "id": "3b0df1218e7d0b63fc522df1be2f09fcf45e2f7e5623d32d35a4f9a9cb9461e2", "query_sha256": "dabbd0cba1dd2731f58a1211e3fe1de9f86c4e67583f187c3ca896452499bbd5", "split_group_id": "customers_and_addresses"} |
Question: Which payment method is used by most customers?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Produc... | none | {"database_id": "customers_and_addresses", "id": "8e2bd6b4ee161f755a6565cd99d536e07c77ead4a8ce39e53ddc5ec6b848ae3b", "query_sha256": "c68a086f6193a5cab00e3c93dbbf210bbb88fb8cd7449d829622d029eb4f5ec3", "split_group_id": "customers_and_addresses"} |
Question: Find the payment method that is used most frequently.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
... | none | {"database_id": "customers_and_addresses", "id": "fedeafabdefadfc235439dbc6987f385f9a89a5760daccec6ddb34375226bff5", "query_sha256": "c68a086f6193a5cab00e3c93dbbf210bbb88fb8cd7449d829622d029eb4f5ec3", "split_group_id": "customers_and_addresses"} |
Question: What are the names of customers using the most popular payment method?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_addres... | none | {"database_id": "customers_and_addresses", "id": "05c6e677e5475112238dfca015c4076b65100ef5ccbf4776d6053067659d8ad7", "query_sha256": "926d7574de6f0ff6aa456f0140338223dcf6d644fc933767f7b01dbb5879caed", "split_group_id": "customers_and_addresses"} |
Question: Find the name of the customers who use the most frequently used payment method.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.oth... | none | {"database_id": "customers_and_addresses", "id": "d64e7e431304825255d3ffd00fd2cfe85438decbe81cb981fb4b623c4b4331aa", "query_sha256": "926d7574de6f0ff6aa456f0140338223dcf6d644fc933767f7b01dbb5879caed", "split_group_id": "customers_and_addresses"} |
Question: What are all the payment methods?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id ... | none | {"database_id": "customers_and_addresses", "id": "866736bcd6bb40141c01108582ee5805fe8c9bb086f7fb7401d4871193bc5282", "query_sha256": "a59b95e01ba12ea5a088d60dd47b4986ce4b7adee6778392517a46c76c956d5b", "split_group_id": "customers_and_addresses"} |
Question: Return all the distinct payment methods used by customers.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (t... | none | {"database_id": "customers_and_addresses", "id": "f8e8f516fd7eb8bbcc89c3bbed33a483a553cae5a1afd6a14115ea02b1c14b28", "query_sha256": "a59b95e01ba12ea5a088d60dd47b4986ce4b7adee6778392517a46c76c956d5b", "split_group_id": "customers_and_addresses"} |
Question: What are the details of all products?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product... | none | {"database_id": "customers_and_addresses", "id": "6ed05e0ba96c83cef0dfbfb8d7949ab09f8c1e57fdd6d9c17964bef3f3b408a8", "query_sha256": "7d0d94ce3e1c25d31e474d310fc891785d09bc2b6e83720853a394d1226696d0", "split_group_id": "customers_and_addresses"} |
Question: Return the the details of all products.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.produ... | none | {"database_id": "customers_and_addresses", "id": "14be83c2f3e2d40650a69b7b5d836d4921cde0fbaa7cf13af05efa133e1e09da", "query_sha256": "7d0d94ce3e1c25d31e474d310fc891785d09bc2b6e83720853a394d1226696d0", "split_group_id": "customers_and_addresses"} |
Question: Find the name of all customers whose name contains "Alex".
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (t... | none | {"database_id": "customers_and_addresses", "id": "9233c6f69be616e9f26706d87f2b4e0a870b7c5d55467c196f78ee5183216a90", "query_sha256": "c742f68ded2d673fdb0762bcd399c5d4256ebf38e5123b9f2debf7cb1152dd21", "split_group_id": "customers_and_addresses"} |
Question: Which customer's name contains "Alex"? Find the full name.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (t... | none | {"database_id": "customers_and_addresses", "id": "ab4344ec5f0d69ff571baccc4c23a12358790ce459bf83de026c481f2b6c01e1", "query_sha256": "c742f68ded2d673fdb0762bcd399c5d4256ebf38e5123b9f2debf7cb1152dd21", "split_group_id": "customers_and_addresses"} |
Question: Find the detail of products whose detail contains the word "Latte" or the word "Americano"
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Ad... | none | {"database_id": "customers_and_addresses", "id": "8cb4fce38597419d27cf6b699620a5e99dc68a5ee497034cc10364c17fdc9e72", "query_sha256": "1955151510fe4bec8fc5c928924a3ff773fd1176ce8aed1ff62afcc25d1fd9cc", "split_group_id": "customers_and_addresses"} |
Question: Which product's detail contains the word "Latte" or "Americano"? Return the full detail.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addr... | none | {"database_id": "customers_and_addresses", "id": "8fdb46028835d7dd753c313399c7b13f42a2ca398a5328cab9d2b29af7d7b9b9", "query_sha256": "1955151510fe4bec8fc5c928924a3ff773fd1176ce8aed1ff62afcc25d1fd9cc", "split_group_id": "customers_and_addresses"} |
Question: What is the address content of the customer named "Maudie Kertzmann"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address... | none | {"database_id": "customers_and_addresses", "id": "99e803eadaf8c73a22452e33a083e076bf08d885ba5cbdafeb8307fa13e68e65", "query_sha256": "574594bb001c9cb4cad01ab6709da7ca050006fde087772488394cca2a31cc4f", "split_group_id": "customers_and_addresses"} |
Question: Return the address content for the customer whose name is "Maudie Kertzmann".
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other... | none | {"database_id": "customers_and_addresses", "id": "18fd7404e6607af5a3b60601ed3b9a32ec4584806f98786b91293d4b8aab890d", "query_sha256": "574594bb001c9cb4cad01ab6709da7ca050006fde087772488394cca2a31cc4f", "split_group_id": "customers_and_addresses"} |
Question: How many customers are living in city "Lake Geovannyton"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (te... | count | {"database_id": "customers_and_addresses", "id": "cf38761c7dee1695402e394d89c18d3de7b19af4da0a8526c3c02f5a0ecbdcf2", "query_sha256": "566ec4046e5cc5eef81bbd15f28a061842a6e340921f2803ce4109b6d2e75ddf", "split_group_id": "customers_and_addresses"} |
Question: Find the number of customers who live in the city called Lake Geovannyton.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_ad... | count | {"database_id": "customers_and_addresses", "id": "9cf6ce11f84b8659f38f0908b39a5103275445d416163ea64ac772353195ed28", "query_sha256": "566ec4046e5cc5eef81bbd15f28a061842a6e340921f2803ce4109b6d2e75ddf", "split_group_id": "customers_and_addresses"} |
Question: Find the name of customers who are living in Colorado?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)... | none | {"database_id": "customers_and_addresses", "id": "967a793a4de1a9b6abedcb979ec26b72ba8436fa87ab8a2d951fb72cd2c9a375", "query_sha256": "2ed4ca5b452e23e389a74cc5b7103e03830318a697819c977b02541b21788a2a", "split_group_id": "customers_and_addresses"} |
Question: What are the names of customers who live in Colorado state?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (... | none | {"database_id": "customers_and_addresses", "id": "cd6c70b838d373167ba17b73718d4b4437aabdd7c545d9e1cd8635a07579e9e1", "query_sha256": "2ed4ca5b452e23e389a74cc5b7103e03830318a697819c977b02541b21788a2a", "split_group_id": "customers_and_addresses"} |
Question: Find the list of cities that no customer is living in.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)... | none | {"database_id": "customers_and_addresses", "id": "bb41e2276241909d9b5cbdb02564fcdf4dfd35cdee19c185dbc3c2c1ebdc9ced", "query_sha256": "458194e9cd7a304f8374b6e078f1c1c1d8e863e33ae975ef5a66678b91db277c", "split_group_id": "customers_and_addresses"} |
Question: What are the cities no customers live in?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.pro... | none | {"database_id": "customers_and_addresses", "id": "4a26abc3a1977c44c0aea93b196130a1c2caf471a91882b69996f6ce3ac146fa", "query_sha256": "458194e9cd7a304f8374b6e078f1c1c1d8e863e33ae975ef5a66678b91db277c", "split_group_id": "customers_and_addresses"} |
Question: Which city has the most customers living in?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.... | none | {"database_id": "customers_and_addresses", "id": "5f4eb1bddb13db2bd7241d00347d1097cf2442b217e0a4c37770345fafba9cff", "query_sha256": "7ac4ba52d91d575064b23e921ee0992fd6ad3c692595c1766b32abdd209c6c94", "split_group_id": "customers_and_addresses"} |
Question: Find the city where the most customers live.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.... | none | {"database_id": "customers_and_addresses", "id": "0ab0484de9504d7d2ead8a14a2b371644ac46626f2159658044a6012d4f163b4", "query_sha256": "7ac4ba52d91d575064b23e921ee0992fd6ad3c692595c1766b32abdd209c6c94", "split_group_id": "customers_and_addresses"} |
Question: Retrieve the list of all cities.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id (... | none | {"database_id": "customers_and_addresses", "id": "bb8f78b61e3ffcb30f77e3ac0a7daf2b744d29ad21aa1a0edcf2c5d9df0b0d75", "query_sha256": "1f0003765bcdd2fb132206e8dd06eb99ffbc830f086e69d68081a3e027a6b113", "split_group_id": "customers_and_addresses"} |
Question: List all the distinct cities
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id (numb... | none | {"database_id": "customers_and_addresses", "id": "f16fbaff52b624524a80245593c6742285cd89e57cf6ab1985e9351df2c836e3", "query_sha256": "1f0003765bcdd2fb132206e8dd06eb99ffbc830f086e69d68081a3e027a6b113", "split_group_id": "customers_and_addresses"} |
Question: Find the city with post code 255.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id ... | none | {"database_id": "customers_and_addresses", "id": "ae9d40709473e5df3e0be459ec94115be09bb1b268249ef35b97e297fac0c60c", "query_sha256": "6a8336b3576634b2f25effec5514d467e47216a17eb1c3a9b217975390e5f4ba", "split_group_id": "customers_and_addresses"} |
Question: Which city is post code 255 located in?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.produ... | none | {"database_id": "customers_and_addresses", "id": "f5167b3a4c0c9b7c6f1de2f2b9f6a6ad96119f872c7f7533ede4316d68af6356", "query_sha256": "6a8336b3576634b2f25effec5514d467e47216a17eb1c3a9b217975390e5f4ba", "split_group_id": "customers_and_addresses"} |
Question: List the countries having more than 4 addresses listed.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text... | none | {"database_id": "customers_and_addresses", "id": "ce2e6299413cd1813fbf97226bf30f41b2acf10d001e81c72903640ceeabf533", "query_sha256": "f26c3f1ff0a0187da141c841f7a4c25e922e876757d2ea3f2e03c028e8ce17ba", "split_group_id": "customers_and_addresses"} |
Question: For which countries are there more than four distinct addresses listed?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_addre... | none | {"database_id": "customers_and_addresses", "id": "c157868b3e64a70b094a566db9688eef358465a6dc14096c85f00cfb42743066", "query_sha256": "f26c3f1ff0a0187da141c841f7a4c25e922e876757d2ea3f2e03c028e8ce17ba", "split_group_id": "customers_and_addresses"} |
Question: List all the contact channel codes that were used less than 5 times.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_... | none | {"database_id": "customers_and_addresses", "id": "c57a8ea34eed6f68c8b2628d35111a44422aeaae2a5b8cde1d361bb14466321a", "query_sha256": "abd3f2e7eea71579e2adbed88efae6e0d84a5338c1f84207a28aec977303cd4a", "split_group_id": "customers_and_addresses"} |
Question: Which contact channel codes were used less than 5 times?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (tex... | none | {"database_id": "customers_and_addresses", "id": "552bf6f84aa9741ea471ea17a771bb858eaa8ef0528ecb4403aec1eef521c7df", "query_sha256": "abd3f2e7eea71579e2adbed88efae6e0d84a5338c1f84207a28aec977303cd4a", "split_group_id": "customers_and_addresses"} |
Question: Which contact channel has been used by the customer with name "Tillman Ernser"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.oth... | none | {"database_id": "customers_and_addresses", "id": "9afb810798e7fec40a7906380095d6942ef07f14d19a1138e419169c94a118a0", "query_sha256": "c812e91c5fa7f98e4807912a2e0af0741c8a40ab4b8ff65fcb61bacbf924f4a5", "split_group_id": "customers_and_addresses"} |
Question: Find the contact channel code that was used by the customer named "Tillman Ernser".
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses... | none | {"database_id": "customers_and_addresses", "id": "e323a6200362fd9d2e4d2f9fcd5394eb57a7a4cf959f865179a8c43c282bf2bb", "query_sha256": "c812e91c5fa7f98e4807912a2e0af0741c8a40ab4b8ff65fcb61bacbf924f4a5", "split_group_id": "customers_and_addresses"} |
Question: What is the "active to date" of the latest contact channel used by "Tillman Ernser"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresse... | maximum | {"database_id": "customers_and_addresses", "id": "a900a772608921d46462213f18b6c3ebf9509364878c01de83321f18d53f3eca", "query_sha256": "b357e6cc7a6cba851ff86dc2cf7900b9ec5b17012f4d1703e9c4a0e08445f0e4", "split_group_id": "customers_and_addresses"} |
Question: Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.c... | maximum | {"database_id": "customers_and_addresses", "id": "61651f01fa0b0a56bf585a21a5efd6ff3a52a8804345bda6ed4af342c40a3c44", "query_sha256": "b357e6cc7a6cba851ff86dc2cf7900b9ec5b17012f4d1703e9c4a0e08445f0e4", "split_group_id": "customers_and_addresses"} |
Question: What is the name of the customer that made the order with the largest quantity?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.oth... | none | {"database_id": "customers_and_addresses", "id": "296f2939329043328bced380e28a85862f2f88199db0d3d25eb165895c792cba", "query_sha256": "74d257e592a436c6aeccd3ea1b400482b5c219ee46c2ad4e7489559506ef6789", "split_group_id": "customers_and_addresses"} |
Question: Find the name of the customer who made the order of the largest amount of goods.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.ot... | none | {"database_id": "customers_and_addresses", "id": "4354feacf8f04013504a517d0efb6e503a65fd4ec47e4c5642e0fc51552fe31d", "query_sha256": "74d257e592a436c6aeccd3ea1b400482b5c219ee46c2ad4e7489559506ef6789", "split_group_id": "customers_and_addresses"} |
Question: What is the name of the customer that has purchased the most items?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_d... | none | {"database_id": "customers_and_addresses", "id": "d83406e268696f28a61f02c3c0449af1a4c01efe3f76190303c47da9e0b14bce", "query_sha256": "ec1d3945fc381201a3895aa5c3bb276cd175e8cae2cb80a0f7775cbf5ca345c5", "split_group_id": "customers_and_addresses"} |
Question: Give me the name of the customer who ordered the most items in total.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address... | none | {"database_id": "customers_and_addresses", "id": "c1cf0a2575851b1c65d873b7a35e32ba7b005181075a2d70d69afe7e4cf00f16", "query_sha256": "ec1d3945fc381201a3895aa5c3bb276cd175e8cae2cb80a0f7775cbf5ca345c5", "split_group_id": "customers_and_addresses"} |
Question: What is the payment method of the customer that has purchased the least quantity of items?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Ad... | none | {"database_id": "customers_and_addresses", "id": "6f413ae521bb64c232c1bc0775865974ad2d7c2f110fe9e2e68a2fdc7663d795", "query_sha256": "d4ebbeb6866131f99bd4ba26bf38ac3d17a2ec57d70ee1255de41ed8fcfe523b", "split_group_id": "customers_and_addresses"} |
Question: Tell me the payment method used by the customer who ordered the least amount of goods in total.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (tex... | none | {"database_id": "customers_and_addresses", "id": "263b109fd7c7dc5ca85031d0f6c6111d778f6a37df562620730275bfda456113", "query_sha256": "d4ebbeb6866131f99bd4ba26bf38ac3d17a2ec57d70ee1255de41ed8fcfe523b", "split_group_id": "customers_and_addresses"} |
Question: How many types of products have Rodrick Heaney bought in total?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_detai... | count | {"database_id": "customers_and_addresses", "id": "ab446a69971ceba1c6c80df05c042e9e94801061a417d13ff2f2b014dfd7c2df", "query_sha256": "c5e28e31ef3032c16d9b929e47a67e2ed574f3662ff70ef50272a5d3b7300790", "split_group_id": "customers_and_addresses"} |
Question: Find the number of distinct products Rodrick Heaney has bought so far.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_addres... | count | {"database_id": "customers_and_addresses", "id": "3f6e14b8c7726cd41fdae48e6a393e146264699d5635d493ab9fc921f9be7ed9", "query_sha256": "c5e28e31ef3032c16d9b929e47a67e2ed574f3662ff70ef50272a5d3b7300790", "split_group_id": "customers_and_addresses"} |
Question: What is the total quantity of products purchased by "Rodrick Heaney"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address... | sum | {"database_id": "customers_and_addresses", "id": "8e1c83167b5778b7721c815969d670ecf98f1a43cd689e83710d36881006e7b1", "query_sha256": "8d148f032b224419ed2e093a8a6f31c3eebcb9765812788d43bbfcccab6b73b5", "split_group_id": "customers_and_addresses"} |
Question: Tell me the total quantity of products bought by the customer called "Rodrick Heaney".
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addres... | sum | {"database_id": "customers_and_addresses", "id": "fd80baaf7dc2595cb501d61a2153a61e542e4f33a07c2c10042dc3a8f1451d6c", "query_sha256": "8d148f032b224419ed2e093a8a6f31c3eebcb9765812788d43bbfcccab6b73b5", "split_group_id": "customers_and_addresses"} |
Question: How many customers have at least one order with status "Cancelled"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_d... | count | {"database_id": "customers_and_addresses", "id": "85d40f9139e8219d3416f2ce07932ae54b1b79d7e45af3955df55b60a130cde1", "query_sha256": "728f09319903f05c8fb2560bc16cb0dfd67fff425fd5a232a43a1871e8dcb1e3", "split_group_id": "customers_and_addresses"} |
Question: Return the number of customers who have at least one order with "Cancelled" status.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses... | count | {"database_id": "customers_and_addresses", "id": "707b4a7db2b8b3227d2ca677bf2226f4b0c8fc55c7340384fdb1d042e164eab8", "query_sha256": "728f09319903f05c8fb2560bc16cb0dfd67fff425fd5a232a43a1871e8dcb1e3", "split_group_id": "customers_and_addresses"} |
Question: How many orders have detail "Second time"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.pr... | count | {"database_id": "customers_and_addresses", "id": "7daefaf43cbe3687f841b7ce2e72a206d134c85c52d9f884ffa6df577375cacd", "query_sha256": "6a049509d7be0eb7dff26776e388a0121ca47ec091ec5b489ba8afe4f61fa023", "split_group_id": "customers_and_addresses"} |
Question: Tell me the number of orders with "Second time" as order detail.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_deta... | count | {"database_id": "customers_and_addresses", "id": "152f18320193bcdfadfe7ed4970771624cf2220cb0689744858103c118d630f9", "query_sha256": "6a049509d7be0eb7dff26776e388a0121ca47ec091ec5b489ba8afe4f61fa023", "split_group_id": "customers_and_addresses"} |
Question: What is the total number of products that are in orders with status "Cancelled"?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.ot... | sum | {"database_id": "customers_and_addresses", "id": "a27154b8175063350443dfdc743e7d17fb3342826955fc9b2720f2d8d7fd2fb3", "query_sha256": "c9242011ab6051663c6d113482ec7fb265642137eef28be8d7e1602d5880bd69", "split_group_id": "customers_and_addresses"} |
Question: Find the total quantity of products associated with the orders in the "Cancelled" status.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Add... | sum | {"database_id": "customers_and_addresses", "id": "aae936f12b899b9c2f2d256dce28b840154c091ef8a566d45816d6ca480cfbab", "query_sha256": "c9242011ab6051663c6d113482ec7fb265642137eef28be8d7e1602d5880bd69", "split_group_id": "customers_and_addresses"} |
Question: Find the total amount of products ordered before 2018-03-17 07:13:53.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address... | sum | {"database_id": "customers_and_addresses", "id": "6a10972dc20cef3e37d48bbfe9573b92d8412b19eb65d9663042c050cb3757de", "query_sha256": "27b1ff6312171f48147c1ccb8922f56e762e90193d9a157c5badc6d9e7c023e2", "split_group_id": "customers_and_addresses"} |
Question: What is the total amount of products purchased before 2018-03-17 07:13:53?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_ad... | sum | {"database_id": "customers_and_addresses", "id": "aa19a49af48fa7d18d50086d38df4c60b27557e19ef7ddbf5b674cc2963283d9", "query_sha256": "27b1ff6312171f48147c1ccb8922f56e762e90193d9a157c5badc6d9e7c023e2", "split_group_id": "customers_and_addresses"} |
Question: Who made the latest order?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
Products.product_id (number... | none | {"database_id": "customers_and_addresses", "id": "005b32a72fbe5f9b2451c7428f946d345bc7270061d2397f121174c6c0ee559a", "query_sha256": "092eea532d89717d36d2a9060dc7d2ceae333206cd6b4c6121ba8c014eb41365", "split_group_id": "customers_and_addresses"} |
Question: Find the name of the customer who made an order most recently.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_detail... | none | {"database_id": "customers_and_addresses", "id": "02ff5a597e94e464781d67179f22eca500cdb532606d3e8d239783bf3ff4920f", "query_sha256": "092eea532d89717d36d2a9060dc7d2ceae333206cd6b4c6121ba8c014eb41365", "split_group_id": "customers_and_addresses"} |
Question: Which product has been ordered most number of times?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
P... | none | {"database_id": "customers_and_addresses", "id": "336557eed0ced16b54fd87b83d4568e3c6238801c32dcef79eceacdd1097ebf6", "query_sha256": "4f0bf0146ab2cde29a67e700f330dd6efb5f691727ac25314e8b37ff6b39ea08", "split_group_id": "customers_and_addresses"} |
Question: What is the most frequently ordered product? Tell me the detail of the product
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.othe... | none | {"database_id": "customers_and_addresses", "id": "9c5b420e461825592d8b2537511bab77e8d3e56b97e9d1d70fe8b4c3c881f063", "query_sha256": "4f0bf0146ab2cde29a67e700f330dd6efb5f691727ac25314e8b37ff6b39ea08", "split_group_id": "customers_and_addresses"} |
Question: Find the name of customers who did not pay with Cash.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_details (text)
... | none | {"database_id": "customers_and_addresses", "id": "689fcb5205c7520ae70d1c42a56d93c2c0cda9bb7d880a0622477b50308ca8ad", "query_sha256": "c912f30fc0d29c6baace3674427983f0859824fd441a678b7e60b3a1c7afdf19", "split_group_id": "customers_and_addresses"} |
Question: What is the name of customers who do not use Cash as payment method.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.address_content (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Addresses.other_address_... | none | {"database_id": "customers_and_addresses", "id": "02833aa21fe7b27678621298976f0b022b77b93ec7f5e16312ad19f7541de7e7", "query_sha256": "c912f30fc0d29c6baace3674427983f0859824fd441a678b7e60b3a1c7afdf19", "split_group_id": "customers_and_addresses"} |
Question: How many artists are there?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (number)
volume.So... | count | {"database_id": "music_4", "id": "5064fe4d3d86047ab03b1d184de5232a6ed18f271d4f1af68e126748c5f671cb", "query_sha256": "014d96060b435f7c55ecc017e0fc55138cdffe98c1071a5f4fe6de63f97a7f18", "split_group_id": "music_4"} |
Question: Count the number of artists.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (number)
volume.S... | count | {"database_id": "music_4", "id": "5115e6e205462ae598287090073f6bd88165b650e18462b8bbef9505237c9a3d", "query_sha256": "014d96060b435f7c55ecc017e0fc55138cdffe98c1071a5f4fe6de63f97a7f18", "split_group_id": "music_4"} |
Question: List the age of all music artists.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (number)
vo... | none | {"database_id": "music_4", "id": "5ee930622d2e8a786fe53b5c9b9471cb1d6f01f0167e8e7fef8a60d11493fbf5", "query_sha256": "6f9f57d972c3edc605e904e4e750bac18c2ae92fb38132603f0f04ac462a2320", "split_group_id": "music_4"} |
Question: What are the ages of all music artists?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (numbe... | none | {"database_id": "music_4", "id": "c3d244063a69585cbdfe218123e0bcaec9d405741cc8e373b7198e8177e4b762", "query_sha256": "6f9f57d972c3edc605e904e4e750bac18c2ae92fb38132603f0f04ac462a2320", "split_group_id": "music_4"} |
Question: What is the average age of all artists?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (numbe... | average | {"database_id": "music_4", "id": "5257658de63ba04036162cd5bd60654743b8434263c1703f9da58f0bfb41c2ce", "query_sha256": "aa5e78c6d92e09dce083dce9317c6d3c6257c81461a715b69a7dcb966b804b5b", "split_group_id": "music_4"} |
Question: Return the average age across all artists.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (nu... | average | {"database_id": "music_4", "id": "5856e8c80613cab72cba1caf4d1e42819e7f83ae6af21abd0753da6c626ca8a9", "query_sha256": "aa5e78c6d92e09dce083dce9317c6d3c6257c81461a715b69a7dcb966b804b5b", "split_group_id": "music_4"} |
Question: What are the famous titles of the artist "Triumfall"?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks... | none | {"database_id": "music_4", "id": "516934a38e9283786fabbd8a3add971829b0ba669c04b6402dbe6e9a518ac6a5", "query_sha256": "a47c6b4abfc0b8e1753ea3ea4afdae9aa772933cd1e9071f7458b6932ff37e4a", "split_group_id": "music_4"} |
Question: Return the famous titles of the artist called "Triumfall".
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.... | none | {"database_id": "music_4", "id": "2d6ea62efb22964e28f23834664bdfece125475ccd618aca85b42967aef51f9a", "query_sha256": "a47c6b4abfc0b8e1753ea3ea4afdae9aa772933cd1e9071f7458b6932ff37e4a", "split_group_id": "music_4"} |
Question: What are the distinct Famous release dates?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Weeks_on_Top (n... | none | {"database_id": "music_4", "id": "8fe8f775092c75ab1043ede2c45377f7da47bf5e478cb8f7cf5f11ba17a486d6", "query_sha256": "ce2869017d84e761f5c3f0eda4a31b48e6005cea0fc4cd2a4bd7a1350afbfbd4", "split_group_id": "music_4"} |
Question: Give the distinct famous release dates for all artists.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Wee... | none | {"database_id": "music_4", "id": "2121fbc670eaff38ab2efcb1be12e8cbf19a7a5fd22fedf696b8891a2a9fa812", "query_sha256": "ce2869017d84e761f5c3f0eda4a31b48e6005cea0fc4cd2a4bd7a1350afbfbd4", "split_group_id": "music_4"} |
Question: What are the category of music festivals with result "Awarded"?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
vo... | none | {"database_id": "music_4", "id": "16923b8143dc423e5d3c3782dcd4929a21107c855966db044c125ce4b1d9f0e8", "query_sha256": "ee124be84d0089dcd6ca3fb978156f94e707af7cf2e134e98a57571a05cc79f3", "split_group_id": "music_4"} |
Question: Return the categories of music festivals that have the result "Awarded".
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date ... | none | {"database_id": "music_4", "id": "6debc3b43807484e62249b2735d8f80188c13cf13ac53e728e94b6dcaa34a128", "query_sha256": "ee124be84d0089dcd6ca3fb978156f94e707af7cf2e134e98a57571a05cc79f3", "split_group_id": "music_4"} |
Question: What are the songs in volumes with more than 1 week on top?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume... | none | {"database_id": "music_4", "id": "5af37ddbc0d98ea150643133d1ea442c2fcf8da1ae9b414e258c873596d4e879", "query_sha256": "42515b7113f765042d0a199bca79b0c73de53a6bacd453221e3a534ed77e55c7", "split_group_id": "music_4"} |
Question: Give the songs included in volumes that have more than 1 week on top.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (te... | none | {"database_id": "music_4", "id": "d3b8155decc9dc309a4b3fef6dad8f97dc7bfc7e5f60864997a332b999ec821b", "query_sha256": "42515b7113f765042d0a199bca79b0c73de53a6bacd453221e3a534ed77e55c7", "split_group_id": "music_4"} |
Question: Please list all songs in volumes in ascending alphabetical order.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
... | none | {"database_id": "music_4", "id": "fea5fc5b9759cb12ea3b05ddfc28e6d99b6db06f079fd2a978e0f816be900512", "query_sha256": "56467d441ebdc9aada705fe269ecbb297449a173f82613fb15722bac86b01eab", "split_group_id": "music_4"} |
Question: What are the the songs in volumes, listed in ascending order?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volu... | none | {"database_id": "music_4", "id": "10a7169feba3a4009daaa62cd8d208f64e7fa4098078af726c227b6eef163355", "query_sha256": "56467d441ebdc9aada705fe269ecbb297449a173f82613fb15722bac86b01eab", "split_group_id": "music_4"} |
Question: How many distinct artists do the volumes associate to?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Week... | count | {"database_id": "music_4", "id": "48c1581a3f1b22aec21ddd7acbf5981b6624566eee3101998f8319eec60e152a", "query_sha256": "b4b0bd5c96d83b910b28fd8839facdd5660244bead3adf448bd3e56b1f3d93cc", "split_group_id": "music_4"} |
Question: Count the number of distinct artists who have volumes.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (text)
volume.Week... | count | {"database_id": "music_4", "id": "3b84c4e40f0f271bf2f9706b8ea1fe097f6b3c66401833c63ad5ae1d01f80c43", "query_sha256": "b4b0bd5c96d83b910b28fd8839facdd5660244bead3adf448bd3e56b1f3d93cc", "split_group_id": "music_4"} |
Question: Please show the date of ceremony of the volumes that last more than 2 weeks on top.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.... | none | {"database_id": "music_4", "id": "cf17e83788ba999f7b1e2d3b3f5d5fcad59135958730b7ccc280049cceeff302", "query_sha256": "f9248c32904c13e1aa15a9c352469d31b47bf62f599ae151640b8246c9b7fcb7", "split_group_id": "music_4"} |
Question: What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volum... | none | {"database_id": "music_4", "id": "1cd7c85fedbe0f6a4d9520c3ca7b29aeefcf1ef265653eef3406f5cf37b5bd72", "query_sha256": "f9248c32904c13e1aa15a9c352469d31b47bf62f599ae151640b8246c9b7fcb7", "split_group_id": "music_4"} |
Question: Please show the songs that have result "nominated" at music festivals.
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Date (t... | none | {"database_id": "music_4", "id": "cdf20e73f3de3a2cc49ec360702ba8a27875b6ab6bc13ea2c611319faadc1bad", "query_sha256": "fa384e22fe1b7b6a63b42931f6b5cb465a663a4a63fc23df81a0f13ee7fed9cb", "split_group_id": "music_4"} |
Question: What are the songs in volumes that have resulted in a nomination at music festivals?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume... | none | {"database_id": "music_4", "id": "4c505dd088bacbf74d7fa1d84de4978d2643a56f6ae6224e7f99e0400e241fd6", "query_sha256": "fa384e22fe1b7b6a63b42931f6b5cb465a663a4a63fc23df81a0f13ee7fed9cb", "split_group_id": "music_4"} |
Question: What are the issue dates of volumes associated with the artist "Gorgoroth"?
Database columns:
all rows (*) (text)
artist.Artist_ID (number)
artist.Artist (text)
artist.Age (number)
artist.Famous_Title (text)
artist.Famous_Release_date (text)
volume.Volume_ID (number)
volume.Volume_Issue (text)
volume.Issue_Da... | none | {"database_id": "music_4", "id": "12245cef715da26692dd636b751fcbbd1922657897586d7b76ca49e0bf6ebff1", "query_sha256": "d362993ccb7856627fd42bec4e7b6bac79f096011f4165b1bfbe2e682a09458d", "split_group_id": "music_4"} |
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