sentence1 stringlengths 223 9.31k | labels stringclasses 6
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Question: What are the names of projects that have not been assigned?
Database columns:
all rows (*) (text)
Scientists.SSN (number)
Scientists.Name (text)
Projects.Code (text)
Projects.Name (text)
Projects.Hours (number)
AssignedTo.Scientist (number)
AssignedTo.Project (text) | none | {"database_id": "scientist_1", "id": "eb08e3cc806f76a181d401ff801c4ccb2ee3743f92889f959ba9e7d346537b5d", "query_sha256": "caf29f32e60150ba1188f30f040e6b0ab0416d2c32f63b824415ed3cb4f423df", "split_group_id": "scientist_1"} |
Question: Find the name of scientists who are not assigned to any project.
Database columns:
all rows (*) (text)
Scientists.SSN (number)
Scientists.Name (text)
Projects.Code (text)
Projects.Name (text)
Projects.Hours (number)
AssignedTo.Scientist (number)
AssignedTo.Project (text) | none | {"database_id": "scientist_1", "id": "0172aa7266970181f81d3776ecfe068238ad58fb77a04e929edbe64d49b5b938", "query_sha256": "af7449f294e818a2aa9b696b91d5e3eb9b65377b6c6c7091a3caac635c639b2c", "split_group_id": "scientist_1"} |
Question: What are the names of scientists who have not been assigned a project?
Database columns:
all rows (*) (text)
Scientists.SSN (number)
Scientists.Name (text)
Projects.Code (text)
Projects.Name (text)
Projects.Hours (number)
AssignedTo.Scientist (number)
AssignedTo.Project (text) | none | {"database_id": "scientist_1", "id": "d16fe9057ae17ec1193243586ba388711c8aa6b1b38f81989f8ce970d9525c3d", "query_sha256": "af7449f294e818a2aa9b696b91d5e3eb9b65377b6c6c7091a3caac635c639b2c", "split_group_id": "scientist_1"} |
Question: Find the number of scientists who are not assigned to any project.
Database columns:
all rows (*) (text)
Scientists.SSN (number)
Scientists.Name (text)
Projects.Code (text)
Projects.Name (text)
Projects.Hours (number)
AssignedTo.Scientist (number)
AssignedTo.Project (text) | count | {"database_id": "scientist_1", "id": "8dcaf09ca561995fb8c55028bf9f77685e14de817958ab3451dc58a93fdc7811", "query_sha256": "324c5a92a89e1f8602335f903bab83d720d84606da496e599eec7cc7fe9de662", "split_group_id": "scientist_1"} |
Question: How many scientists do not have any projects assigned to them?
Database columns:
all rows (*) (text)
Scientists.SSN (number)
Scientists.Name (text)
Projects.Code (text)
Projects.Name (text)
Projects.Hours (number)
AssignedTo.Scientist (number)
AssignedTo.Project (text) | count | {"database_id": "scientist_1", "id": "ca45664674765f5b952faa755e6bd821ab0c6424b03968b4fa551d42f142681b", "query_sha256": "324c5a92a89e1f8602335f903bab83d720d84606da496e599eec7cc7fe9de662", "split_group_id": "scientist_1"} |
Question: What is the name of the highest rated wine?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine.No (... | none | {"database_id": "wine_1", "id": "be5e4299b1181d59fc0939c00742ad6ba5584fca4dc0aefe233dd58cc460c8eb", "query_sha256": "df7f8e92dd5cdcdc5d3aea5631c88873369f27dd78b55eb58aa140958c94f4b8", "split_group_id": "wine_1"} |
Question: Give the name of the wine with the highest score.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
win... | none | {"database_id": "wine_1", "id": "1bf399c571202f44eacf97cfcfc18d84438d2d4ec96c101b6027d8994a57fd80", "query_sha256": "df7f8e92dd5cdcdc5d3aea5631c88873369f27dd78b55eb58aa140958c94f4b8", "split_group_id": "wine_1"} |
Question: Which winery is the wine that has the highest score from?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (t... | none | {"database_id": "wine_1", "id": "06dfe1a721fdfe86136c8393808818725b5f2153106b2ad6c03e980f6ce13cb4", "query_sha256": "6bcbe16e571d421e3a3dc30b8684653b1f3413c29b705dd69ac02de73711e39f", "split_group_id": "wine_1"} |
Question: What is the winery at which the wine with the highest score was made?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellati... | none | {"database_id": "wine_1", "id": "3e3d3d02e4e7bfc668fe137e3a6d849fba9bd9a9104f93f24e82e6dd7f5b14d1", "query_sha256": "6bcbe16e571d421e3a3dc30b8684653b1f3413c29b705dd69ac02de73711e39f", "split_group_id": "wine_1"} |
Question: Find the names of all wines produced in 2008.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine.No... | none | {"database_id": "wine_1", "id": "60657b05ecad0eef7cbb7ecd54beaff561e38789f4fe96603e670b181316b9f4", "query_sha256": "b090630199774275d6da67afe6c02a32bfc00f583b5d7752248f1738d0f5ed46", "split_group_id": "wine_1"} |
Question: What are the names of all wines produced in 2008?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
win... | none | {"database_id": "wine_1", "id": "bc0b18cf1d22846999aaa1612d8e67171de88629bfeb53f47c706eb0ad15d748", "query_sha256": "b090630199774275d6da67afe6c02a32bfc00f583b5d7752248f1738d0f5ed46", "split_group_id": "wine_1"} |
Question: What are the prices of wines produced before the year of 2010?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isA... | none | {"database_id": "wine_1", "id": "535a76641f677498a29a1e62a1175064b7001925dfafd8c8b7be354da3979a0c", "query_sha256": "7afbd00ebb6843653c5a9c3342a3f4387ece43a6252bf25df6bdecbcd70176d2", "split_group_id": "wine_1"} |
Question: Return the prices of wines produced before 2010.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine... | none | {"database_id": "wine_1", "id": "9ca3c52648607932265b48529eee8ee00b06d5dc735ce765d2a16b3176fc78c5", "query_sha256": "7afbd00ebb6843653c5a9c3342a3f4387ece43a6252bf25df6bdecbcd70176d2", "split_group_id": "wine_1"} |
Question: List the names of all distinct wines that have scores higher than 90.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellati... | none | {"database_id": "wine_1", "id": "791f40d917026582be455b0379c16a133017bda609a329afaea2d474e723993e", "query_sha256": "d56883610e469e5b5431b54c2c6bc1f89a75f666a134be8b188cfb63da3d0012", "split_group_id": "wine_1"} |
Question: What are the names of wines with scores higher than 90?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (tex... | none | {"database_id": "wine_1", "id": "d67bad06801d6c2a108489c367cf80221293f005bfc86b89c6894fa1be6402ad", "query_sha256": "d56883610e469e5b5431b54c2c6bc1f89a75f666a134be8b188cfb63da3d0012", "split_group_id": "wine_1"} |
Question: List the names of all distinct wines that are made of red color grape.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellat... | none | {"database_id": "wine_1", "id": "34a06fcc419c01cb9dcf70b491c29719dbcc6db25a2eb919bebc27c9b5641a12", "query_sha256": "6fc923f4d3ae9ddf422c75239edda8f36568560085333a859a3dc50d8eef5330", "split_group_id": "wine_1"} |
Question: What are the names of wines made from red grapes?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
win... | none | {"database_id": "wine_1", "id": "b4e49aaa0c3c63c5c2db7481d88f775e38b8c1ab4b8f1a6300c0558b7a48dc7f", "query_sha256": "6fc923f4d3ae9ddf422c75239edda8f36568560085333a859a3dc50d8eef5330", "split_group_id": "wine_1"} |
Question: Find the names of all distinct wines that have appellations in North Coast area.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text... | none | {"database_id": "wine_1", "id": "1c4c3a792b0ddfe151df4e3a37da1df39da24604edd9580ab7421883e714e35b", "query_sha256": "998c8f0f2dd0c0c15edc540d691e58452cd4ff39208ef73e714c7b2b4eed57a7", "split_group_id": "wine_1"} |
Question: What are the distinct names of wines that have appellations in the North Coast area?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (... | none | {"database_id": "wine_1", "id": "c728f2a092437e8ec5d84927f65b49b29c439ee103e95903566f2ad36f6bfa6e", "query_sha256": "998c8f0f2dd0c0c15edc540d691e58452cd4ff39208ef73e714c7b2b4eed57a7", "split_group_id": "wine_1"} |
Question: How many wines are produced at Robert Biale winery?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
w... | count | {"database_id": "wine_1", "id": "a7288464501ff45dc75c3c947f0f815b72788c3edfd262309f89fae6f070591e", "query_sha256": "ccda3b9536f4857047b9a55b5bdcfce3cfdd78db0fbd2d34a1aa4e42bdd7b4e5", "split_group_id": "wine_1"} |
Question: Count the number of wines produced at Robert Biale winery.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (... | count | {"database_id": "wine_1", "id": "3dc6f812c5df5c768f697f427a7c39f8559454a3f3af7d9d54bacb7de4176d9c", "query_sha256": "ccda3b9536f4857047b9a55b5bdcfce3cfdd78db0fbd2d34a1aa4e42bdd7b4e5", "split_group_id": "wine_1"} |
Question: How many appelations are in Napa Country?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine.No (nu... | count | {"database_id": "wine_1", "id": "d8727e6dd902a8abd23f7f678b7d2dbcf9e722e693ed360c568464b2af654fcf", "query_sha256": "b7b59bd856e272acd101e51e9646d4ddf89f318339c36ea35d3b826ba8d02b9d", "split_group_id": "wine_1"} |
Question: Count the number of appelations in Napa County.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine.... | count | {"database_id": "wine_1", "id": "3aaca055dd88da0e183bff20cbe9890157b72dec2ef2ffc701aaee451b6980a8", "query_sha256": "b7b59bd856e272acd101e51e9646d4ddf89f318339c36ea35d3b826ba8d02b9d", "split_group_id": "wine_1"} |
Question: Give me the average prices of wines that are produced by appelations in Sonoma County.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area... | average | {"database_id": "wine_1", "id": "794696c5d709727e5f32436c78c15b2859502020512d72afc826253ca1fb7981", "query_sha256": "6c6d0f99174ff0933bed3346296826f88998a0df259745bf2ea04c8c0e861b48", "split_group_id": "wine_1"} |
Question: What is the average price of wines produced in appelations in Sonoma County?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
ap... | average | {"database_id": "wine_1", "id": "ee9b22cc451cb44e30e7ef101ed30cb0364a0cb8ed55b71e711108c4e89c018a", "query_sha256": "6c6d0f99174ff0933bed3346296826f88998a0df259745bf2ea04c8c0e861b48", "split_group_id": "wine_1"} |
Question: Find the maximum price of wins from the appelations in Central Coast area and produced before the year of 2005.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State... | maximum | {"database_id": "wine_1", "id": "22c4bc3ecf1ec38b716e5e4b941556e8f9259f5f1f76326647654728f85d10c8", "query_sha256": "04e53a6ed773355634c87fccea7b78cb0b026ae7b1bdafa6c57e36c10f600556", "split_group_id": "wine_1"} |
Question: What is the maximum price of wines from the appelation in the Central Coast area, which was produced before 2005?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.Sta... | maximum | {"database_id": "wine_1", "id": "0c79907612d4eab4982f31788c47cfbc08d3ea5815de022cb8df4df6a3d11967", "query_sha256": "04e53a6ed773355634c87fccea7b78cb0b026ae7b1bdafa6c57e36c10f600556", "split_group_id": "wine_1"} |
Question: Find the the grape whose white color grapes are used to produce wines with scores higher than 90.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appell... | none | {"database_id": "wine_1", "id": "fbb39d9efb2516c044708fc77593c8b9c1abdfc4f270669516cb1e79dffbf171", "query_sha256": "36ccc9573261afc23e2035720a838e449a27ef180e06080de5732970c6de4d8f", "split_group_id": "wine_1"} |
Question: Find the white grape used to produce wines with scores above 90.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.i... | none | {"database_id": "wine_1", "id": "835ba98750bfaab669bd98aae126c1f698353441aea18adf250ad41be411b4a5", "query_sha256": "36ccc9573261afc23e2035720a838e449a27ef180e06080de5732970c6de4d8f", "split_group_id": "wine_1"} |
Question: What are the wines that have prices higher than 50 and made of Red color grapes?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text... | none | {"database_id": "wine_1", "id": "68d9f95256cb699b91cf54c54546ecfb695c3858eb31bf0def48fd54cbf9a41a", "query_sha256": "7915f43b6c3864ff41fa932f038a634ec1d9f08b1892eadb0f64ba52571bd899", "split_group_id": "wine_1"} |
Question: What are the names of wines made from red grapes and with prices above 50?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appe... | none | {"database_id": "wine_1", "id": "053fdee1934dd25caa01e3a769c5eb2ca5158feb9115aba5deb4013ca84e711d", "query_sha256": "7915f43b6c3864ff41fa932f038a634ec1d9f08b1892eadb0f64ba52571bd899", "split_group_id": "wine_1"} |
Question: What are the wines that have prices lower than 50 and have appelations in Monterey county?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.... | none | {"database_id": "wine_1", "id": "56c0b4f01b173a9ec6bc646cb784c951fc069655354eb1266a384b0ecdd41853", "query_sha256": "f79707e3e30dbdf0906777eaf8b8ad5808b4dbed52456dbfd3e86454d3fe5a4c", "split_group_id": "wine_1"} |
Question: Give the neames of wines with prices below 50 and with appelations in Monterey county.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area... | none | {"database_id": "wine_1", "id": "f38e0e84be6d7ad57f34b8889a509669e8a67eecaf455446cc38f763b6d4609e", "query_sha256": "f79707e3e30dbdf0906777eaf8b8ad5808b4dbed52456dbfd3e86454d3fe5a4c", "split_group_id": "wine_1"} |
Question: Find the distinct names of all wines that have prices higher than some wines from John Anthony winery.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
a... | none | {"database_id": "wine_1", "id": "86269fca845d214acb3c2c101cdb2b03e0ffc0c04ecb65d2f5e17d0a2db028a7", "query_sha256": "adbad41a2dcce497e55ec245eef9d225ed588b960ea06125680f3df46e62ed7b", "split_group_id": "wine_1"} |
Question: What are the distinct names of wines with prices higher than any wine from John Anthony winery.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellat... | none | {"database_id": "wine_1", "id": "3a8e5a1e5efce278183c8031e7e6d781b4a56b46e4e4034dc88d08c506c73689", "query_sha256": "adbad41a2dcce497e55ec245eef9d225ed588b960ea06125680f3df46e62ed7b", "split_group_id": "wine_1"} |
Question: List the names of all distinct wines in alphabetical order.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA ... | none | {"database_id": "wine_1", "id": "f628ef093c6c9f2be0887fa125f6597c3df2406e4ea68f000f7555646886fc2a", "query_sha256": "3cf2b9ce66165a4f6d176195da0f9b2a24817ab209e60771ef6012e8fd682062", "split_group_id": "wine_1"} |
Question: What are the names of wines, sorted in alphabetical order?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (... | none | {"database_id": "wine_1", "id": "72025205ef1f729d70bd5957ce6997f0f8cf03a049bb97c48bd2c7b52f4042c0", "query_sha256": "3cf2b9ce66165a4f6d176195da0f9b2a24817ab209e60771ef6012e8fd682062", "split_group_id": "wine_1"} |
Question: List the names of all distinct wines ordered by price.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text... | none | {"database_id": "wine_1", "id": "24e22362524d2396d65746a1c9d06ea2ae008a3b8e2ac0b3b831c6daea6bfd6f", "query_sha256": "99424c9c0b7a25c77d29eceb8575683ee168a7c5595bb2eaec71d987ad9dfcbf", "split_group_id": "wine_1"} |
Question: What are the names of wines, sorted by price ascending?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (tex... | none | {"database_id": "wine_1", "id": "8b5ad8e1f7e7b430faa355154481eeff04d949b79c3a1df07c6f559f7893f6db", "query_sha256": "99424c9c0b7a25c77d29eceb8575683ee168a7c5595bb2eaec71d987ad9dfcbf", "split_group_id": "wine_1"} |
Question: What is the area of the appelation that produces the highest number of wines before the year of 2010?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
ap... | none | {"database_id": "wine_1", "id": "a07cd578863996f1b12b77b29a04d059c4943d9f21251e46434a573b414ff005", "query_sha256": "df033c47a238fa39cf349c6d7c731c99f5492ad0e02c97e904c0bf8132f55800", "split_group_id": "wine_1"} |
Question: What is the area for the appelation which produced the most wines prior to 2010?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text... | none | {"database_id": "wine_1", "id": "7b266f813a36d413b494970f9ef9340c12b3058da658a1d557a0ae75b310bdfb", "query_sha256": "df033c47a238fa39cf349c6d7c731c99f5492ad0e02c97e904c0bf8132f55800", "split_group_id": "wine_1"} |
Question: What is the color of the grape whose wine products has the highest average price?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (tex... | none | {"database_id": "wine_1", "id": "ce3705581ad8f810eac55251257c214a72d57e4d3fa9f64eb3df98f3f5ebf91a", "query_sha256": "3968c60772c304753bcf72a798046dc9dcd66776f434f3fda9137cc1d1dbe7ec", "split_group_id": "wine_1"} |
Question: Give the color of the grape whose wine products have the highest average price?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)... | none | {"database_id": "wine_1", "id": "08e59572db60021e1ac397d522ce71f382c75566fed84c2ec60708a17cbb92cc", "query_sha256": "3968c60772c304753bcf72a798046dc9dcd66776f434f3fda9137cc1d1dbe7ec", "split_group_id": "wine_1"} |
Question: Find the distinct names of wines produced before the year of 2000 or after the year of 2010.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellation... | none | {"database_id": "wine_1", "id": "0af4c6d1784cf42b2b0989c08c1952f32697e9aa9be1c1419912b82237a4527a", "query_sha256": "80afb7b9b717036dbd3362ab745dd9379d4b875fd438b6a8b76d6cdf7a7dac99", "split_group_id": "wine_1"} |
Question: Give the distinct names of wines made before 2000 or after 2010.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.i... | none | {"database_id": "wine_1", "id": "cff6b1c7ca3a334fa63399807fdf0d8670f29d0ad731bb0f17907e6fbcadc53f", "query_sha256": "80afb7b9b717036dbd3362ab745dd9379d4b875fd438b6a8b76d6cdf7a7dac99", "split_group_id": "wine_1"} |
Question: Find the distinct winery of wines having price between 50 and 100.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations... | none | {"database_id": "wine_1", "id": "26eb226d6cc945993881ee258f2fe4fc152a6c5a825869551fa8e15ea23464b9", "query_sha256": "221c47c4a8e5a8be2ddd9c7fad4e21bec23ccac3c8eb792f389a38ab943f9c26", "split_group_id": "wine_1"} |
Question: What are the distinct wineries which produce wines costing between 50 and 100?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
... | none | {"database_id": "wine_1", "id": "d8f4d4a64f4a62905fe60e3481045e2d75980097bdc7d2316e9a916d33b87f96", "query_sha256": "221c47c4a8e5a8be2ddd9c7fad4e21bec23ccac3c8eb792f389a38ab943f9c26", "split_group_id": "wine_1"} |
Question: Find the wineries that have at least four wines.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine... | none | {"database_id": "wine_1", "id": "e537d9f51e2186df1e6ff23aa47647e8fe0f5fb358094f7e87ee7856c8a9bd46", "query_sha256": "fc04d192a6c14f3002be4bacb59d85253e5a05799163a227a10aa341d198791f", "split_group_id": "wine_1"} |
Question: Which wineries produce at least four wines?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA (text)
wine.No (... | none | {"database_id": "wine_1", "id": "5d666379bf5f162efa43aabe8f6993816300f607b9ba6a026d7b49cb69dde4b8", "query_sha256": "fc04d192a6c14f3002be4bacb59d85253e5a05799163a227a10aa341d198791f", "split_group_id": "wine_1"} |
Question: Find the country of all appelations who have at most three wines.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.... | none | {"database_id": "wine_1", "id": "8bc64cd608dd254af1fff2bb8ea4721d9df9a61cb171f9f53295493751f15437", "query_sha256": "85dcd7102bf872341f570c04090032f8a30bee36e29ce5f5eb4cf01ecfe86458", "split_group_id": "wine_1"} |
Question: What are the countries for appelations with at most 3 wines?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.isAVA... | none | {"database_id": "wine_1", "id": "990207a225cfeab021ca559f2efbf50024dbdba30d4e53590868495e8d98c324", "query_sha256": "85dcd7102bf872341f570c04090032f8a30bee36e29ce5f5eb4cf01ecfe86458", "split_group_id": "wine_1"} |
Question: What are the names of wines whose production year are before the year of all wines by Brander winery?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
ap... | none | {"database_id": "wine_1", "id": "f18d7153725167fe4ec6177af16555885d532ebb69664c0e691fb2bb6aebae1d", "query_sha256": "607005129efd64e625c70690dc437ad9894d71e6b5439a31af9f8b6b336e46c8", "split_group_id": "wine_1"} |
Question: What are the names of wines produced before any wine from the Brander winery?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
a... | none | {"database_id": "wine_1", "id": "a4fe0f4119704d3ec43a34827bd2d2bad34d7fe00186f205f474fe40c803f14f", "query_sha256": "607005129efd64e625c70690dc437ad9894d71e6b5439a31af9f8b6b336e46c8", "split_group_id": "wine_1"} |
Question: What are the names of wines that are more expensive then all wines made in the year 2006?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.A... | none | {"database_id": "wine_1", "id": "6a3d653d344370b3b2e4a01cc455b99fef57a639432eb2c2972e4270d67c3ae0", "query_sha256": "4807064d90422a8d2a0115fd4c8b7d679353b9f3f4737a06eee6b1de6a46e123", "split_group_id": "wine_1"} |
Question: Give the names of wines with prices above any wine produced in 2006.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellatio... | none | {"database_id": "wine_1", "id": "9f7eb3914aa45fb565bbb69c04c8d55d23cff655beb6139c41fd0137ae688515", "query_sha256": "4807064d90422a8d2a0115fd4c8b7d679353b9f3f4737a06eee6b1de6a46e123", "split_group_id": "wine_1"} |
Question: Find the top 3 wineries with the greatest number of wines made of white color grapes.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area ... | none | {"database_id": "wine_1", "id": "a3f3083f973c1d8baf53ba507018fe40a0eb85df3978da21523c2a0565cf533a", "query_sha256": "bc9e1d5c184f7806b9314c50a20f0c3b14dc38419ba1b032bd639d4136e58576", "split_group_id": "wine_1"} |
Question: Which 3 wineries produce the most wines made from white grapes?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations.is... | none | {"database_id": "wine_1", "id": "becc8fe794b3232dffd1bb107a2f1211d9da813b9fe2b43fdeedcf94324d1bda", "query_sha256": "bc9e1d5c184f7806b9314c50a20f0c3b14dc38419ba1b032bd639d4136e58576", "split_group_id": "wine_1"} |
Question: Find the average price of wines that are not produced from Sonoma county.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appel... | average | {"database_id": "wine_1", "id": "0a285f010078513050cdcaac33be64a8699939715d569eb6cf62e4425896a18c", "query_sha256": "20e411fed061262e9115e4ae2d7a02247dfcd7a614e01aee0b3dd0f9f0c2bd1f", "split_group_id": "wine_1"} |
Question: What is the average price for wines not produced in Sonoma county?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appellations... | average | {"database_id": "wine_1", "id": "d72da67db635bb5cd8c15ee2fb988692e5eb35fc02b87bef05a7a48ea1e89f7e", "query_sha256": "20e411fed061262e9115e4ae2d7a02247dfcd7a614e01aee0b3dd0f9f0c2bd1f", "split_group_id": "wine_1"} |
Question: Find the county where produces the most number of wines with score higher than 90.
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (te... | none | {"database_id": "wine_1", "id": "3b7383b3ecf16b1c70eb5764cb6f802c6c106eddb9c58deb11db93c7f0dd6474", "query_sha256": "ac98f05b221f5c997469c03dd3bde455ab3168b46d599b3c8f75a166ad4261c7", "split_group_id": "wine_1"} |
Question: What is the county that produces the most wines scoring higher than 90?
Database columns:
all rows (*) (text)
grapes.ID (number)
grapes.Grape (text)
grapes.Color (text)
appellations.No (number)
appellations.Appelation (text)
appellations.County (text)
appellations.State (text)
appellations.Area (text)
appella... | none | {"database_id": "wine_1", "id": "f6b4fad5aab888f70f51ab9dcb6e9531e04e66a013d9bead0fe36f6f04372aee", "query_sha256": "ac98f05b221f5c997469c03dd3bde455ab3168b46d599b3c8f75a166ad4261c7", "split_group_id": "wine_1"} |
Question: How many train stations are there?
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of_Platforms (n... | count | {"database_id": "train_station", "id": "188331cfd1fed760c80508ec73ff1a080bedea85fffdcf1a2bc04b6fd21bc86a", "query_sha256": "fbe0f75b5b1f2ff20cdfb596e40cd7dc74b17b1a4eceb0c61d338080f8916791", "split_group_id": "train_station"} |
Question: What are all locations of train stations?
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of_Platf... | none | {"database_id": "train_station", "id": "7934cf9b06e5eae719d1e86ae22dd349d09ffe4cab53ea6f93e70fede0bcca8a", "query_sha256": "2fc32669322f949b717d141e4d2d50be35fdf6c241e498e1adb06618765788fb", "split_group_id": "train_station"} |
Question: Show all locations that have train stations with at least 15 platforms and train stations with more than 25 total passengers.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (... | none | {"database_id": "train_station", "id": "358637db348a12602699f098b377cba1615f2e6f6ed825342e801d3d84a3b91f", "query_sha256": "50bbb95848f9713c4f1ebea14ab287d531598c850afb71f0ea9dd8228df61d8f", "split_group_id": "train_station"} |
Question: Show the location with most number of train stations.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Num... | none | {"database_id": "train_station", "id": "7b5fdce90b617e1360abf2b65165061e147072c0556905e510a2b3f7e2f32c16", "query_sha256": "d71f1f2f2db679a197957e408d7707f7934a9239908f6615f0ab47be027cd7c1", "split_group_id": "train_station"} |
Question: Show the number of trains
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of_Platforms (number)
tr... | count | {"database_id": "train_station", "id": "449daf4f5e73245789586ce2e22aad80fd6bb7cb044d5700739dad8b397d7e9a", "query_sha256": "4536d997fdb09e3b3e5f842bd78d876cc49d3b1e832d55c6499846d399080264", "split_group_id": "train_station"} |
Question: Show the station name with greatest number of trains.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Num... | none | {"database_id": "train_station", "id": "e1aca5cf84cdc0bc9a2c01705bb76b4b8fd75e723ca9442fa25a3b5e6d81b3b0", "query_sha256": "894c911c04177a77032cf947d679cece5b3c2fd6cc56747e9ab5907441e5a39b", "split_group_id": "train_station"} |
Question: Show the station name with at least two trains.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of... | none | {"database_id": "train_station", "id": "7240ffba346e291c934326b7531e533345477d356778dc3695c0af62f71170cf", "query_sha256": "8e93af2aae4e4c7094cd1811ef19f3f3515212e0d1f3eee9181e446f536b6fb7", "split_group_id": "train_station"} |
Question: Show all locations with only 1 station.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of_Platfor... | none | {"database_id": "train_station", "id": "02ff02e6110490bab4d718dda9e605c5a1b5f4e5ada094cdd8293d3ecda619b5", "query_sha256": "599ac991783f567b6ecf3d91cd344b6e9c10f87267dc74b8ed90d194027ab9ac", "split_group_id": "train_station"} |
Question: Show station names without any trains.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Services (text)
station.Number_of_Platform... | none | {"database_id": "train_station", "id": "29d024c82940ee71b7fa0a303ed26a6e3deabebc802123076a8b9fad51b75683", "query_sha256": "5ee1e512e3851dc9e47cac44f2b77b603233b45b9f3d1f09077a8e751752320d", "split_group_id": "train_station"} |
Question: Find the names of the trains that do not pass any station located in London.
Database columns:
all rows (*) (text)
station.Station_ID (number)
station.Name (text)
station.Annual_entry_exit (number)
station.Annual_interchanges (number)
station.Total_Passengers (number)
station.Location (text)
station.Main_Serv... | none | {"database_id": "train_station", "id": "ec16642f1da70c428d7eff9cee27876b6a9067722fa9863e69ec2bac03bacc39", "query_sha256": "0d2248b5b90fa94d9ba44cfcbc3dd6f760f20a785ae6966372eaee81e9dbd261", "split_group_id": "train_station"} |
Question: List all vehicle id
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (number)
Staff.nick... | none | {"database_id": "driving_school", "id": "2ea4c1ef67efaabf42384a5e82fe70f10c9e0fb67cc8b9e9090d7d26d412ea08", "query_sha256": "6d76475ff7d519286404a78ffa5e50eb75463dd1aba2649cf43c4e7210bcd713", "split_group_id": "driving_school"} |
Question: What are the ids of all vehicles?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (numb... | none | {"database_id": "driving_school", "id": "f8a01dc2127e5f6352763d6b5379af33307b3a416aab7b146dd75d9900709707", "query_sha256": "6d76475ff7d519286404a78ffa5e50eb75463dd1aba2649cf43c4e7210bcd713", "split_group_id": "driving_school"} |
Question: How many vehicle in total?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (number)
Sta... | count | {"database_id": "driving_school", "id": "e492037e065050308a81e1381e4ffae443710aca4020bce63d36c03ef446a012", "query_sha256": "482af71b41f547c0b0bab6c66debf01933da17d7d9b55c5ffb1ed0acf3ca9315", "split_group_id": "driving_school"} |
Question: How many vehicles exist?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (number)
Staff... | count | {"database_id": "driving_school", "id": "3ead5daae792326d2454c97dbda56eedab289d86a4d29fd6af4a6a67a2579695", "query_sha256": "482af71b41f547c0b0bab6c66debf01933da17d7d9b55c5ffb1ed0acf3ca9315", "split_group_id": "driving_school"} |
Question: Show the detail of vehicle with id 1.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (... | none | {"database_id": "driving_school", "id": "076c29b0845ff2a37592a64d8349b799ebbc9211311b6590f2ac4e49d619006d", "query_sha256": "7074794ab8e745efd7cc6e92277cbf8ccd95c79b60f09f4632085bf7bfdf971a", "split_group_id": "driving_school"} |
Question: What are the details of the car with id 1?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address... | none | {"database_id": "driving_school", "id": "6ea0a11c3de1061a751947a19c2a6ece52e4899600af8c3472d5ba1042c45660", "query_sha256": "7074794ab8e745efd7cc6e92277cbf8ccd95c79b60f09f4632085bf7bfdf971a", "split_group_id": "driving_school"} |
Question: What is the birthday of the staff member with first name as Janessa and last name as Sawayn?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country ... | none | {"database_id": "driving_school", "id": "ae0d1ea3f567383871b86a8b0b47b557c3a59b5c587f08c4f2cedf032eff2ba7", "query_sha256": "eb4292bff6eecf9e63b10f9994c6a5a71cc4ff83f5a3ffdb0d8aa8110b5c89ef", "split_group_id": "driving_school"} |
Question: What is the date of birth for the staff member named Janessa Sawayn?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (n... | none | {"database_id": "driving_school", "id": "76bb0ab19634130b8d10df6f8347f49e0fa40f4f2e8bba3e25a1d6d495d32d9c", "query_sha256": "eb4292bff6eecf9e63b10f9994c6a5a71cc4ff83f5a3ffdb0d8aa8110b5c89ef", "split_group_id": "driving_school"} |
Question: When did the staff member with first name as Janessa and last name as Sawayn join the company?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.countr... | none | {"database_id": "driving_school", "id": "1cd47703c8564fd34758dc6b13b2e1615362df3c8957df8d96c4d778f2f070f2", "query_sha256": "002b50d7c12727198618720a8dde0367ae0207f67adba8feab5650ddc65876a0", "split_group_id": "driving_school"} |
Question: When did the staff member named Janessa Sawayn join the company?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (numbe... | none | {"database_id": "driving_school", "id": "3111a1bda9c279b9a061c5cf0788085a175ea51c905f0affac9336df4725656b", "query_sha256": "002b50d7c12727198618720a8dde0367ae0207f67adba8feab5650ddc65876a0", "split_group_id": "driving_school"} |
Question: When did the staff member with first name as Janessa and last name as Sawayn leave the company?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.count... | none | {"database_id": "driving_school", "id": "c995345f4a22fcc04520391b635900b92613f93882d39daf4b6654c090610730", "query_sha256": "19ce1c21a96a338053b50332027f388428310ae899a5748e0a698df97e9b2878", "split_group_id": "driving_school"} |
Question: When did the staff member Janessa Sawayn leave the company?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
St... | none | {"database_id": "driving_school", "id": "69f9008fe5b5812337c69a204a45b1ac06702f14b9c755b6067e6154609b779b", "query_sha256": "19ce1c21a96a338053b50332027f388428310ae899a5748e0a698df97e9b2878", "split_group_id": "driving_school"} |
Question: How many staff have the first name Ludie?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_... | count | {"database_id": "driving_school", "id": "c9d6ac12db744c8f5fd756d4c1ffc2c6473f6a7e83081dba76c49ddaee0d1b49", "query_sha256": "42fd205698f97b262b4d2ae21b623a89f794c1655a4483c8d9a615a7ca0d95e2", "split_group_id": "driving_school"} |
Question: How many employees have a first name of Ludie?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_add... | count | {"database_id": "driving_school", "id": "d8380ad52397ba730bbc9a8f61d06bf9f247c2ebebf8413c9c75a8ccaf2a2b63", "query_sha256": "42fd205698f97b262b4d2ae21b623a89f794c1655a4483c8d9a615a7ca0d95e2", "split_group_id": "driving_school"} |
Question: What is the nickname of staff with first name as Janessa and last name as Sawayn?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staf... | none | {"database_id": "driving_school", "id": "326a0ecf2df4669a8aad26e2ee034529a3adc83cd0654f31a28f766ce0057813", "query_sha256": "b0b68098acdbe26cd788e06d63bb0810198dedaa6e56d62e52b0007c1f6bf642", "split_group_id": "driving_school"} |
Question: What is the nickname of the employee named Janessa Sawayn?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Sta... | none | {"database_id": "driving_school", "id": "ccfb1869e62c9ae46b214c9a307b417ee89b9100903d7cabe5b98147c1e6c9ae", "query_sha256": "b0b68098acdbe26cd788e06d63bb0810198dedaa6e56d62e52b0007c1f6bf642", "split_group_id": "driving_school"} |
Question: How many staff in total?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (number)
Staff... | count | {"database_id": "driving_school", "id": "90d49290fc3c21cdac991b31e8534d4ae124890a5596d2e3af46e60972b657bc", "query_sha256": "225c803f40580e29472eb51c1396796cd46272ca1ac1064fa387d001c8da2e57", "split_group_id": "driving_school"} |
Question: How many employees are there?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (number)
... | count | {"database_id": "driving_school", "id": "a9381601df8d14c33059af4d1e91f3f11eb2e6015d78d889e267eca232426bbf", "query_sha256": "225c803f40580e29472eb51c1396796cd46272ca1ac1064fa387d001c8da2e57", "split_group_id": "driving_school"} |
Question: Which city does staff with first name as Janessa and last name as Sawayn live?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.s... | none | {"database_id": "driving_school", "id": "4bb109bbb087c7abfa010a848d2d62904f12019748b3c700a6631fb1437b7b51", "query_sha256": "def1b59ef199670dd357819f831b4101609061c5e71cc7e3c0e32577393c7f26", "split_group_id": "driving_school"} |
Question: In what city does Janessa Sawayn live?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id ... | none | {"database_id": "driving_school", "id": "aeeed4b4cafc8792bc441f7defbc50a5604e1edf8ac63f9cd59eaf9cab1bcaa3", "query_sha256": "def1b59ef199670dd357819f831b4101609061c5e71cc7e3c0e32577393c7f26", "split_group_id": "driving_school"} |
Question: How long is the total lesson time took by customer with first name as Rylan and last name as Goodwin?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses... | sum | {"database_id": "driving_school", "id": "dea2cfb469b30281bd82239094d540ccb33d4e109e9c059e30f8c7fd2ec3de14", "query_sha256": "3ff7532cee0eebacebe0d04e791f69bcbd4d2c5f4f0c3d05ee93211fb99f42fe", "split_group_id": "driving_school"} |
Question: How long is the total lesson time took by the customer named Rylan Goodwin?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staf... | sum | {"database_id": "driving_school", "id": "f0c24be0bda0270e83aa6309a0c8abebff8c613c6c66b413c2c00f569a70771f", "query_sha256": "3ff7532cee0eebacebe0d04e791f69bcbd4d2c5f4f0c3d05ee93211fb99f42fe", "split_group_id": "driving_school"} |
Question: What is the zip code of staff with first name as Janessa and last name as Sawayn lived?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text... | none | {"database_id": "driving_school", "id": "4d3520485ce8f4a52431cbd543eeba8a0fcc8be1f628a9f202082cb2bc684a62", "query_sha256": "00816bed5fd91addd9a9345987ece2917dd88a69365ced5c1b0c05e87512d6d4", "split_group_id": "driving_school"} |
Question: What is the zip code of the hosue of the employee named Janessa Sawayn?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id... | none | {"database_id": "driving_school", "id": "548e13ca48d8a304f8ecd92aca322ec5225192d36551c46d2fba0a4510147e42", "query_sha256": "00816bed5fd91addd9a9345987ece2917dd88a69365ced5c1b0c05e87512d6d4", "split_group_id": "driving_school"} |
Question: How many staff live in state Georgia?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (... | count | {"database_id": "driving_school", "id": "3094c9b36ab917b6b3a187f1f84f6117282f23f85ef58600766199c4a11fc189", "query_sha256": "41b68cdefde1457c597dc310c918a29a8294412b98f2f680af952d85abe53865", "split_group_id": "driving_school"} |
Question: How many employees live in Georgia?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)
Staff.staff_address_id (nu... | count | {"database_id": "driving_school", "id": "2e21b0447906d5c162eb42a9f97a956c75cd2891e21cb928363acbdeb31675fc", "query_sha256": "41b68cdefde1457c597dc310c918a29a8294412b98f2f680af952d85abe53865", "split_group_id": "driving_school"} |
Question: List the states which have between 2 to 4 staffs living there.
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_id (number)... | none | {"database_id": "driving_school", "id": "a4cc623a0c5a0307eb1ba0953d8a5c7e13a7b021dd907c11103b5a6dd767af96", "query_sha256": "40c391e7d6fad4daca145a9cc3dbb74e1f5e61f3e148588819cf919f9d6fe80b", "split_group_id": "driving_school"} |
Question: What are the names of the states that have 2 to 4 employees living there?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff.staff_... | none | {"database_id": "driving_school", "id": "00bfe69616352d91151b735e2bffde030d3300da4a6be058f840e71db9874f38", "query_sha256": "40c391e7d6fad4daca145a9cc3dbb74e1f5e61f3e148588819cf919f9d6fe80b", "split_group_id": "driving_school"} |
Question: When are the birthdays of customer who are classified as 'Good Customer' status?
Database columns:
all rows (*) (text)
Addresses.address_id (number)
Addresses.line_1_number_building (text)
Addresses.city (text)
Addresses.zip_postcode (text)
Addresses.state_province_county (text)
Addresses.country (text)
Staff... | none | {"database_id": "driving_school", "id": "aa2e855c5681455631593dbcf196bdd8dee13a066196820e5deceb389b9a5b82", "query_sha256": "31f9812c4f12fe7118edfc4f6e25f4d1a841c2ddbcee702eec404b06a340510d", "split_group_id": "driving_school"} |
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