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Question: What are the names of wrestlers days held less than 100?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Elim... | none | {"database_id": "wrestler", "id": "2c63ea4b067c34bf7b7596fade99466c581c42f00af315bd87ea3f7c1bee66bb", "query_sha256": "524c3e551f294fb6be8f9d0435cda2de33ca100f6058fd9f6ccf46ac470fb530", "split_group_id": "wrestler"} |
Question: Return the names of wrestlers with fewer than 100 days held.
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
... | none | {"database_id": "wrestler", "id": "8bfac32ec3d2559021aa1762d2037525528bc7fe8a393e821a4234d0fea4180d", "query_sha256": "524c3e551f294fb6be8f9d0435cda2de33ca100f6058fd9f6ccf46ac470fb530", "split_group_id": "wrestler"} |
Question: Please show the most common reigns of wrestlers.
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Elimination.... | none | {"database_id": "wrestler", "id": "42291403d4c4997a051849590f0b307294fafa0c60b052660e21eadf51b0f0ee", "query_sha256": "4d4c7e9e225dcf69544eb6b4f224fc339c76d756d28b1f3fc4026fe108538d45", "split_group_id": "wrestler"} |
Question: Which reign is the most common among wrestlers?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Elimination.T... | none | {"database_id": "wrestler", "id": "0391da3d1f1d105b9e258bb777f4617f05cfa36049606f784c38c2f90f87d724", "query_sha256": "4d4c7e9e225dcf69544eb6b4f224fc339c76d756d28b1f3fc4026fe108538d45", "split_group_id": "wrestler"} |
Question: List the locations that are shared by more than two wrestlers.
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text... | none | {"database_id": "wrestler", "id": "769d2d69a9b81cd4913d5efc7985d4980b9232868d0a38463b0f4c76a94f17d3", "query_sha256": "690d95eb659a66087e592118d601d03a559b7ad9d585d75ce3749ab156ee2804", "split_group_id": "wrestler"} |
Question: Which locations are shared by more than two wrestlers?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Elimin... | none | {"database_id": "wrestler", "id": "b7eab7b5e1632c4b0180d58eeba58e1ae945fe0b607aa639c7eb6da91d7e01d5", "query_sha256": "690d95eb659a66087e592118d601d03a559b7ad9d585d75ce3749ab156ee2804", "split_group_id": "wrestler"} |
Question: List the names of wrestlers that have not been eliminated.
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
El... | none | {"database_id": "wrestler", "id": "e8618e8bfade8271eb36db2b82760721f494f7d4b795626cb1bbf592086300d7", "query_sha256": "7a9171167dd51a3bc9559e0ab4024d8023925d346c83f9c30fa1e2e0048af5b6", "split_group_id": "wrestler"} |
Question: What are the names of wrestlers who have never been eliminated?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (tex... | none | {"database_id": "wrestler", "id": "8432b581f8a818d6a6921b1d6338ba61ca183dbbdc6ceb6b40e6863cc00ef8b1", "query_sha256": "7a9171167dd51a3bc9559e0ab4024d8023925d346c83f9c30fa1e2e0048af5b6", "split_group_id": "wrestler"} |
Question: What is the number of distinct teams that suffer elimination?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)... | count | {"database_id": "wrestler", "id": "e28b3770f2c48197bc53fb75a754e5224955ec10d4dc74cbd33de875c6c95bc5", "query_sha256": "de26ad9a2a2ac5ce1950c2eb3a5fdc6d3509e6ff09306a042f470538a3675b10", "split_group_id": "wrestler"} |
Question: How many different teams have had eliminated wrestlers?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Elimi... | count | {"database_id": "wrestler", "id": "70ebef9a24f367679f1b3ca109faa0cfe2dcb03faf39c665d80d1f1d6a624d9b", "query_sha256": "de26ad9a2a2ac5ce1950c2eb3a5fdc6d3509e6ff09306a042f470538a3675b10", "split_group_id": "wrestler"} |
Question: Show the times of elimination by "Punk" or "Orton".
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Elimination_ID (text)
Elimination.Wrestler_ID (text)
Eliminati... | none | {"database_id": "wrestler", "id": "a15db0df73f84d23a600a7bc2ad3e5689bcd802a5b082fa2540bed3ae1125ec3", "query_sha256": "303afc6c1a86979bad505532e3ca2ce6d3f517d726fed9bd2923301c8e883c74", "split_group_id": "wrestler"} |
Question: What are the times of elimination for any instances in which the elimination was done by Punk or Orton?
Database columns:
all rows (*) (text)
wrestler.Wrestler_ID (number)
wrestler.Name (text)
wrestler.Reign (text)
wrestler.Days_held (text)
wrestler.Location (text)
wrestler.Event (text)
Elimination.Eliminatio... | none | {"database_id": "wrestler", "id": "28380c2bee8bf995b534c0096c69dd34e6e740b2b83d0fc74174fc61012c559a", "query_sha256": "303afc6c1a86979bad505532e3ca2ce6d3f517d726fed9bd2923301c8e883c74", "split_group_id": "wrestler"} |
Question: How many schools are there?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School_id (number)
budget.Year (nu... | count | {"database_id": "school_finance", "id": "783191a21274744bbe75db271f8f5c8412816d02369b5fb2a02c8f0f8da7646d", "query_sha256": "795814a5d4d31e2d242d8c91b7ad7ab4b101694d238d2d6bd26be49d768ec2b6", "split_group_id": "school_finance"} |
Question: Count the number of schools.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School_id (number)
budget.Year (n... | count | {"database_id": "school_finance", "id": "94a2b6b2c0caf87e258dba2d1ec6070dd36d3b7b3f37a4ef9ccc738c2ae383e2", "query_sha256": "795814a5d4d31e2d242d8c91b7ad7ab4b101694d238d2d6bd26be49d768ec2b6", "split_group_id": "school_finance"} |
Question: Show all school names in alphabetical order.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School_id (number... | none | {"database_id": "school_finance", "id": "79ad73c59a3cb4870f6b1650b976148efb136a201ff5bbba265a06ffb1c38143", "query_sha256": "d4cac7fb4acac9a1834fe9670df6745458649fafe8feb522cf2b87655d870c77", "split_group_id": "school_finance"} |
Question: What are the mascots for schools with enrollments above the average?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
... | none | {"database_id": "school_finance", "id": "a6a079456c18c50ab99324183fbc595db0425006a26d4b8d54621d69a15a8110", "query_sha256": "97886fea68af09a4a641971dee66b7f65a16a9333ebe6079c02ef8eb01beaaae", "split_group_id": "school_finance"} |
Question: List the name of the school with the smallest enrollment.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.Scho... | none | {"database_id": "school_finance", "id": "d724ccb49417773e8f8cab698a3b37b22551ea2079e2203c6d65d1d63b773341", "query_sha256": "a619520d32a7bac66d56ceaae8501674194907227d7cd600c21db4c9148fd37a", "split_group_id": "school_finance"} |
Question: How many donors have endowment for school named "Glenn"?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.Schoo... | count | {"database_id": "school_finance", "id": "d82b8954629de4bc54de2c2e53e585127e05fb940e4572aa0afcb59c81b1aa7a", "query_sha256": "cb7e695063be03865757f419e07d47e9ca6386a61845b307e8fff28c99fb90cc", "split_group_id": "school_finance"} |
Question: List the names of the schools without any endowment.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School_id... | none | {"database_id": "school_finance", "id": "4c478c29a987107afe65e591972e4082ddf8dedccdc88993bd5e55e3f0eacda5", "query_sha256": "56b4954133e4ad5c9297a804870d23918ff8083d08c3bdd3513296baa4a0e62f", "split_group_id": "school_finance"} |
Question: List all the names of schools with an endowment amount smaller than or equal to 10.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School... | none | {"database_id": "school_finance", "id": "5e338b9e99361935c08990c602366721df02a85c5aa76667e06f972f0f2bd3c9", "query_sha256": "fb037f9009d781ca656928b83eb83c7f4916780c81ca15ece6e81ca27948e151", "split_group_id": "school_finance"} |
Question: How many budgets are above 3000 in year 2001 or before?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School... | count | {"database_id": "school_finance", "id": "6cacada1eb9a6204ff91ef6774404e61f3bb549bc5af7753e3cf1d83a74a89bb", "query_sha256": "0bb020af70f7f276cd8be8d6df2d6bf28195ea5a25f000730e33907bd1089cd0", "split_group_id": "school_finance"} |
Question: Count the number of budgets in year 2001 or before whose budgeted amount is greater than 3000
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (te... | count | {"database_id": "school_finance", "id": "39960a0e9296226779d09e7754c3b2d98346f937de1ce2c62fd909c5d7b28754", "query_sha256": "0bb020af70f7f276cd8be8d6df2d6bf28195ea5a25f000730e33907bd1089cd0", "split_group_id": "school_finance"} |
Question: Show all donor names.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budget.School_id (number)
budget.Year (number)
... | none | {"database_id": "school_finance", "id": "a154c627338f9830efa98260b285bfe6cafd850c568d252681f74ebcf09dee89", "query_sha256": "5966a09b6feb259e1989fc22e16ea4bcf632798e6882d0d03a8e7b333e490fe7", "split_group_id": "school_finance"} |
Question: How many budget record has a budget amount smaller than the invested amount?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County... | count | {"database_id": "school_finance", "id": "337273f7e8db7f88c49b70b63865998e8cea75c6f758de8102edeb5426e7fb13", "query_sha256": "6a0c75c12c7af72d2584bf6bcc5ddcc9656244b6d7aa71aa71a9e7df2cdfea85", "split_group_id": "school_finance"} |
Question: What is the total budget amount for school "Glenn" in all years?
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
School.County (text)
budg... | sum | {"database_id": "school_finance", "id": "3100c35ad049af927b3aa634f418f841a42ab6e741584a22b6fe3de89c3393c8", "query_sha256": "a3484d499bda8009a871bacb5ac2c44c8fd9a70694d9ebd00df3c6d124abc955", "split_group_id": "school_finance"} |
Question: Show the names of schools with a total budget amount greater than 100 or a total endowment greater than 10.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Foot... | none | {"database_id": "school_finance", "id": "45be43f84d861a67113cc4b52ca93482d6783da2d564b251dc0a8acbf49ed15d", "query_sha256": "148348833332c7e5ac76190dd3921384ddef57ab4ff7d227b609bc4e7ebdfaf2", "split_group_id": "school_finance"} |
Question: Find the names of schools that have more than one donator with donation amount above 8.5.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Class (text)
... | none | {"database_id": "school_finance", "id": "18d484e7d30fd55fd8b309bf8eb4b970f4ccdcfd25f5c266a0aa57a0509cee39", "query_sha256": "32bbf5d3203c8c069ea9a16ddf652617a473bd95cbb83b60982fc771810db20d", "split_group_id": "school_finance"} |
Question: Find the number of schools that have more than one donator whose donation amount is less than 8.5.
Database columns:
all rows (*) (text)
School.School_id (text)
School.School_name (text)
School.Location (text)
School.Mascot (text)
School.Enrollment (number)
School.IHSAA_Class (text)
School.IHSAA_Football_Clas... | count | {"database_id": "school_finance", "id": "3084ed4b97a7e4ac2fd3ba22cca5504044bbb4d632888dd133da9e69c3546acd", "query_sha256": "7bb2bea1189a2ec747d6ddfa9b4d928563ada383ea491528bf376461478003a3", "split_group_id": "school_finance"} |
Question: How many buildings are there?
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)
Institution.Institution (text)
Instituti... | count | {"database_id": "protein_institute", "id": "305a88a098ea8058a20e21d6beed3a79446953a066ff73d7fac6ccb5bdc1ad93", "query_sha256": "873b802fce735a7cfe29a67d5ed9dafafdd03264f53884acbc8b7c68a08bc484", "split_group_id": "protein_institute"} |
Question: What is the name of the tallest building?
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)
Institution.Institution (tex... | none | {"database_id": "protein_institute", "id": "4875ab5e683c241dd30eba1851243bad5e510c1b62c9ac0b6e18e4e747d3680d", "query_sha256": "12c3d7dc760086e1d77d528e93a795364967a00d071d29b63ab2c413fcd8aa61", "split_group_id": "protein_institute"} |
Question: Show the number of buildings with a height above the average or a number of floors above the average.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
In... | count | {"database_id": "protein_institute", "id": "8c67ef50dbf1fa0a18262ef5bc1a055d5c8ec1d1a1e12cfde353484733d2e21f", "query_sha256": "df481dbc39c2f35243bd9b6eb1fabe9bc8b8dc3e7d093630d903938669ce49f4", "split_group_id": "protein_institute"} |
Question: List the names of buildings with at least 200 feet of height and with at least 20 floors.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.In... | none | {"database_id": "protein_institute", "id": "2647462dbf7eeceac8b8ec63575f883533dd3cad1335b266bf763ce35bde40b0", "query_sha256": "ab9145b08864fad50f3980f2f633b7393e00efa39a98228b9551e7e827bf7ffc", "split_group_id": "protein_institute"} |
Question: Show the institution type with the largest number of institutions.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)
Ins... | none | {"database_id": "protein_institute", "id": "b5a6ccf4fb96503abfb7fdd5a47391bd49c28c5bd2c7dc5625e1c59d868dbcbd", "query_sha256": "b21f48daab53208722ef9095364ec4f78b18f993f17e76e1a30cac71122ae570", "split_group_id": "protein_institute"} |
Question: Show the institution type with an institution founded after 1990 and an institution with at least 1000 enrollment.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floor... | none | {"database_id": "protein_institute", "id": "258b7bcb8899c322e09c0806bac6f30edf446c00675bec231e224fb34fb2b7e1", "query_sha256": "fcc9b208018a8b51f4ee8cf5b4a6f5bf74c5f718ce5a1a37367dd1a8c1ab55d8", "split_group_id": "protein_institute"} |
Question: Show the name of buildings that do not have any institution.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)
Instituti... | none | {"database_id": "protein_institute", "id": "bed2eb5068afcc0f987ee98a6eec11a30272b2d2e0c1b5e1bce67f452583234a", "query_sha256": "b12b9eff30e1a25e11d16993cbf6ea8908fb686ae8950e8d1cd86c6cb53929ba", "split_group_id": "protein_institute"} |
Question: Show all the distinct institution types.
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)
Institution.Institution (text... | none | {"database_id": "protein_institute", "id": "6ead2fec0d5f114238e23cd7257060102ab895758f4a2e87542fd0be6526dc77", "query_sha256": "18e6eaa841cc4d96d73424b26f0e111959ebf3988c01bd70c54218730cd71534", "split_group_id": "protein_institute"} |
Question: How many proteins are associated with an institution founded after 1880 or an institution with type "Private"?
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (n... | count | {"database_id": "protein_institute", "id": "471d3f076714e7d47ce98c05159522e06b6936691119c30edd9851e22c410fd0", "query_sha256": "11f2cdc67bec10876bfd0a733bc648590a8398c0affcde5434ea941ce1834e24", "split_group_id": "protein_institute"} |
Question: How many proteins are associated with an institution in a building with at least 20 floors?
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.... | count | {"database_id": "protein_institute", "id": "0de359d613d70d5b0d0d444b202c6dee335a6bc4cb613af11b58047c71bc13a0", "query_sha256": "0f33dca0fd7cb915cb9cf1a7295d5cebb489a849d7ab60b44f7c23d9d9f19314", "split_group_id": "protein_institute"} |
Question: How many institutions do not have an associated protein in our record?
Database columns:
all rows (*) (text)
building.building_id (text)
building.Name (text)
building.Street_address (text)
building.Years_as_tallest (text)
building.Height_feet (number)
building.Floors (number)
Institution.Institution_id (text)... | count | {"database_id": "protein_institute", "id": "0c68af89444570ed854a247630c47fe1a0667dd32f66dfea41fffdd6774286ea", "query_sha256": "071bf9cdcebe8440725ee69eeb576aa44d850883e10e8710db374ed888339ee0", "split_group_id": "protein_institute"} |
Question: How many cinema do we have?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text)
cinema.Openning_y... | count | {"database_id": "cinema", "id": "1b24290671c11186277d551d77aa219fe38fbc771bcf143812be6ad2e717f5b7", "query_sha256": "ec5368a597b4a573667e5067a6bdb4da80c19c6c9177768e89d7ed349fe73493", "split_group_id": "cinema"} |
Question: Count the number of cinemas.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text)
cinema.Openning_... | count | {"database_id": "cinema", "id": "62954486b986167d154e228d3b30dbb0c79ed9375debfd5512169e9521b9769e", "query_sha256": "ec5368a597b4a573667e5067a6bdb4da80c19c6c9177768e89d7ed349fe73493", "split_group_id": "cinema"} |
Question: What are all the locations with a cinema?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text)
cin... | none | {"database_id": "cinema", "id": "6d5495d81fc87f4e77fb3579f5912987c211ee8f9c85d1ff19c712ac7ca53bb6", "query_sha256": "d0c846de6c604f6ad7721cecbc10a27a88be54d617283a084449f7444f2c828a", "split_group_id": "cinema"} |
Question: Find the distinct locations that has a cinema.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text... | none | {"database_id": "cinema", "id": "c4c4ce77f0088c9557f05140c0825334d446f6f5961a841e418152079c32ce71", "query_sha256": "d0c846de6c604f6ad7721cecbc10a27a88be54d617283a084449f7444f2c828a", "split_group_id": "cinema"} |
Question: What is the location with the most cinemas opened in year 2010 or later?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID ... | none | {"database_id": "cinema", "id": "286faca218dbd3491a6825991844fb3a29186a2532297ac4eed325ba49c4012f", "query_sha256": "6113253a61c1885c5950140041c75fcb45b7eb255f1a7051e6f8663187ad0e95", "split_group_id": "cinema"} |
Question: Show all the locations with at least two cinemas with capacity above 300.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID... | none | {"database_id": "cinema", "id": "2f0894a6829fa085ff978e212e3b71bfeb2bd49ed8e124144d399a62574e48ca", "query_sha256": "0f32876459f1a3fbb491b9c2c0ca4a0ffa8d9b261c98544616acaea818064ee2", "split_group_id": "cinema"} |
Question: Which locations have 2 or more cinemas with capacity over 300?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
c... | none | {"database_id": "cinema", "id": "a953862681d0ffd15c25c69a64042efe1a2c386116f29ced9eb0244fa560c7c3", "query_sha256": "0f32876459f1a3fbb491b9c2c0ca4a0ffa8d9b261c98544616acaea818064ee2", "split_group_id": "cinema"} |
Question: Show all directors.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text)
cinema.Openning_year (num... | none | {"database_id": "cinema", "id": "6a6f8c05e0c84406b99271411e34fb37f451d8af7a666a2cbe599e9e61df0ccf", "query_sha256": "b59e3b6625df45ff5302387ac88d8542761e7a1da2f0d0f099e83d98912d1a18", "split_group_id": "cinema"} |
Question: Who are all the directors?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Name (text)
cinema.Openning_ye... | none | {"database_id": "cinema", "id": "68f57a10e6509a5d42e22d1524253d519db7dd0c27fcba2c1b31d37b838215ef", "query_sha256": "b59e3b6625df45ff5302387ac88d8542761e7a1da2f0d0f099e83d98912d1a18", "split_group_id": "cinema"} |
Question: Show director with the largest number of show times in total.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
ci... | none | {"database_id": "cinema", "id": "7cdc000d3f34e4d78a489bc078151e077bbd0dbb5019b92151a332213af87a42", "query_sha256": "86fb3712beeecfdac7d8818794f8558e882830575eba53c45b5e79f7eb3384b7", "split_group_id": "cinema"} |
Question: Find the locations that have more than one movie theater with capacity above 300.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.C... | none | {"database_id": "cinema", "id": "0fc87978ce8546f8c8ed0187bdc3a2aaaffd5ba0f6fd978b0e9d492fd394f460", "query_sha256": "510476e9f2e2f0d891d7b4bdd2640a64eaa7dd0de34b0a3fdbfff20442578aaf", "split_group_id": "cinema"} |
Question: In which locations are there more than one movie theater with capacity above 300?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.C... | none | {"database_id": "cinema", "id": "c9ab669057cd4a7e1f346cd5e9823b2f6e2a88b43a18694f75651c08852ba691", "query_sha256": "510476e9f2e2f0d891d7b4bdd2640a64eaa7dd0de34b0a3fdbfff20442578aaf", "split_group_id": "cinema"} |
Question: How many films have the word 'Dummy' in their titles?
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)
cinema.Nam... | count | {"database_id": "cinema", "id": "c4f4ab579663eb26b3cb54ffba47870c08713fe5bcb5c5246a55db17ebf890c0", "query_sha256": "00f7cdd8970431f11f6979c616161b328009c0e86d5097dcac25cb4f98189905", "split_group_id": "cinema"} |
Question: Count the number of films whose title contains the word 'Dummy'.
Database columns:
all rows (*) (text)
film.Film_ID (number)
film.Rank_in_series (number)
film.Number_in_season (number)
film.Title (text)
film.Directed_by (text)
film.Original_air_date (text)
film.Production_code (text)
cinema.Cinema_ID (number)... | count | {"database_id": "cinema", "id": "9d246bfd5080d79d1d74fa8e49a04e2f3da136fa948fc646a956061480e62178", "query_sha256": "00f7cdd8970431f11f6979c616161b328009c0e86d5097dcac25cb4f98189905", "split_group_id": "cinema"} |
Question: Are the customers holding coupons with amount 500 bad or good?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)... | none | {"database_id": "products_for_hire", "id": "c969424d6962b5e1abc79bf3fcb7fd3477f28ec3288edfa27edf5a425f18541b", "query_sha256": "19ddacfe44b8a461b8f7062ff4ea1000197f1aa307321864d1e0b60f4d99cc73", "split_group_id": "products_for_hire"} |
Question: What is the id of the product that is booked for 3 times?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)
Cust... | none | {"database_id": "products_for_hire", "id": "033a29aa712be53ed8bad0762e271953653eb903ae74122f0280940b5bf469cf", "query_sha256": "18970ffd8d6f805d4694672160e1f65f10053dcc570072a88e0afbb1c706785e", "split_group_id": "products_for_hire"} |
Question: What is the product description of the product booked with an amount of 102.76?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_ba... | none | {"database_id": "products_for_hire", "id": "ce76c9fcbffe831dff86a918b2147672c1b107b84e42b2bc51881de3d9ad4343", "query_sha256": "e538c43538530d95923e0be8c2d1ae319646e0149a7757136b897b604210bf19", "split_group_id": "products_for_hire"} |
Question: What are the names of products whose availability equals to 1?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)... | none | {"database_id": "products_for_hire", "id": "e16fc3985593d862733eeddda667b044885e6ddba46112a03034d6a4edb175d7", "query_sha256": "adb1ef35fb1fc0c496e507a09b787f7388e744140c4c60a229f52bf3f8887f10", "split_group_id": "products_for_hire"} |
Question: How many different product types are there?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)
Customers.first_na... | count | {"database_id": "products_for_hire", "id": "de85c05073986cf577e5dcf0f3f1098901c188a4eaa8dbae46560564eb9895b9", "query_sha256": "d74aff547ac44e2e05e1ffebb0728c17b42f8a52ae05e84491ccf726c023bba5", "split_group_id": "products_for_hire"} |
Question: What is the average amount due for all the payments?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)
Customers... | average | {"database_id": "products_for_hire", "id": "2a719ed1e3780df8b0874af75ecdbb892402427529ce7f4667a9a39789ddbfc5", "query_sha256": "cb3965b4aae3a20599b438912e9f27e9b69147166c9609a4dda3aa180516ba84", "split_group_id": "products_for_hire"} |
Question: What are all the distinct payment types?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text)
Customers.first_name ... | none | {"database_id": "products_for_hire", "id": "a252d9b3e4025448ae0b3023d707f873014dcabe68f5ffad4e7442675a181d74", "query_sha256": "bf980ff04a085dbb0820ab5bbc8b90a78205ed9be0212c1fed218eec0fd7c835", "split_group_id": "products_for_hire"} |
Question: What are the daily hire costs for the products with substring 'Book' in its name?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_... | none | {"database_id": "products_for_hire", "id": "5024e855df6b79d3cc3dfdcd0641d7c94c23339b82e2922c7df5ede13a0ec870", "query_sha256": "a491120c5046a4022616395c64e1873680dd421988db6dcfa9582f2e30933bd7", "split_group_id": "products_for_hire"} |
Question: How many products are never booked with amount higher than 200?
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (number)
Customers.good_or_bad_customer (text... | count | {"database_id": "products_for_hire", "id": "f3bc39f44194752b7b4aeb75bb146fba9dab78443469c2b987de9f93f4674668", "query_sha256": "285e710b1ff3ef4cf52f354abedff1b659f2aee2038cdb6d3c41e5c69d497128", "split_group_id": "products_for_hire"} |
Question: What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check'
Database columns:
all rows (*) (text)
Discount_Coupons.coupon_id (number)
Discount_Coupons.date_issued (time)
Discount_Coupons.coupon_amount (number)
Customers.customer_id (number)
Customers.coupon_id (nu... | none | {"database_id": "products_for_hire", "id": "20d07a5823165b52306629eafdf2ec02eac9f49d2ea4cc966c272f1a29afa8b9", "query_sha256": "3c6d1b1f6813280eb83d1951ed88a4b6fd2dae08115c4745326cea4e8a0081bf", "split_group_id": "products_for_hire"} |
Question: How many phones are there?
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_of_shops (number)
market.Ranking (number)... | count | {"database_id": "phone_market", "id": "9e1f748cc1e51fe80a87ac2fef951beb34aa798e806299c69aff5827dfbffa73", "query_sha256": "c274c792625f6c00e824b0a1868ed28ae40db3cabcd9f108afc6e3087af5ebc4", "split_group_id": "phone_market"} |
Question: List the names of phones in ascending order of price.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_of_shops (numb... | none | {"database_id": "phone_market", "id": "4bf86a0b4d0d86ca2a315923cbc54d7fd1fd338a9382cef0fbd5af7a47f34f84", "query_sha256": "1153ad246eb1175e4ac2d23a1b4704848db8316bd03c7d90b196a2b3cde0e5c4", "split_group_id": "phone_market"} |
Question: List the distinct carriers of phones with memories bigger than 32.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_o... | none | {"database_id": "phone_market", "id": "6eb26ed869be51af38a02b620cbcea6fecbd2c3c2e1bda6bc674a6c097838f11", "query_sha256": "adaa60e9f2951dff6486f746897243a0a673a8c3e9d5d328e3ed3c895a4a3b5a", "split_group_id": "phone_market"} |
Question: Show the names of phones with carrier either "Sprint" or "TMobile".
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_... | none | {"database_id": "phone_market", "id": "183add6cb3615132020dc3c69b4bdcfef7830a1fb6e1a05d5bd830c5ddd6ac20", "query_sha256": "2b8ab70a9ce8f68b5f228200f9414e62a52cf328471a8fc0236e43da275f5c8b", "split_group_id": "phone_market"} |
Question: What is the carrier of the most expensive phone?
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_of_shops (number)
m... | none | {"database_id": "phone_market", "id": "f4da15e83a95a5f26f53385189bedb164d21cb06a896e603eff15e7f5644ba75", "query_sha256": "5f4980c71a5d943e4265d87ba525d8bf10800d57931d4b0370f5796e1760b771", "split_group_id": "phone_market"} |
Question: Show the most frequently used carrier of the phones.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_of_shops (numbe... | none | {"database_id": "phone_market", "id": "55cc0017b72da998accce1bdf5f4c5541f99ea79589093e9f701e219e5bba54e", "query_sha256": "86be96027a5fe46969adb2b2edd1fb5b96c48dbbbc7dd24fe1d0531f444e8e9f", "split_group_id": "phone_market"} |
Question: Show the names of phones that are on market with number of shops greater than 50.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (numbe... | none | {"database_id": "phone_market", "id": "088904e79b787e31bd21ecce2f24c71bd3a3328e68b11a1569faab90018173a4", "query_sha256": "fa451730e9e544743bdaab528b4a9d1c49a5c81546771467737682b7763130fa", "split_group_id": "phone_market"} |
Question: Show the names of phones that have total number of stocks bigger than 2000, in descending order of the total number of stocks.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.D... | none | {"database_id": "phone_market", "id": "e325c489cd4a596032139a12f6b87cc5ee63f00859ccaa7e86978e4782da4341", "query_sha256": "c3f0e3514934706e5bb6bbec5c45abfc8c5c4d34d12db9afad7c1db43be32ac3", "split_group_id": "phone_market"} |
Question: List the names of phones that are not on any market.
Database columns:
all rows (*) (text)
phone.Name (text)
phone.Phone_ID (number)
phone.Memory_in_G (number)
phone.Carrier (text)
phone.Price (number)
market.Market_ID (number)
market.District (text)
market.Num_of_employees (number)
market.Num_of_shops (numbe... | none | {"database_id": "phone_market", "id": "017ff07a9ce856281c02094394f7b1e1d8c000c8f306b45ed5973970d7bc2d06", "query_sha256": "7565850f9a64286882740f6e361407941cdf2a370614c249c8774f90e5c321a5", "split_group_id": "phone_market"} |
Question: How many gas companies are there?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billion (number)
company.Mark... | count | {"database_id": "gas_company", "id": "13093a05ba2bdabf5fdcc27ecf9312027a5913a64681fca033fa2f53b54b1d8b", "query_sha256": "39495368740f79632d1407f807a68941d3f65ffb56038d4761397f335ab1e9c2", "split_group_id": "gas_company"} |
Question: What is the total number of companies?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billion (number)
company... | count | {"database_id": "gas_company", "id": "37c8c17e9ae6a306e1e1c7ee67e77bc2a092037ada365c1bdcce8df8044e168f", "query_sha256": "39495368740f79632d1407f807a68941d3f65ffb56038d4761397f335ab1e9c2", "split_group_id": "gas_company"} |
Question: Show all main industry for all companies.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billion (number)
comp... | none | {"database_id": "gas_company", "id": "eec23a39e8dab678da2ca9afc7b8c12b2a22addee88a988b48e3c614d1f22f5b", "query_sha256": "c41f3ed431c2c8e047bff07f8aeea77d022c6d11f1f50cc6c5474132e3447d00", "split_group_id": "gas_company"} |
Question: What are the different main industries for all companies?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billi... | none | {"database_id": "gas_company", "id": "5c416ba37cc3ab735bf0458b203b5d09d1e68cb86170ac8bdeff91344cf66ed1", "query_sha256": "c41f3ed431c2c8e047bff07f8aeea77d022c6d11f1f50cc6c5474132e3447d00", "split_group_id": "gas_company"} |
Question: Show headquarters with at least two companies in the banking industry.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company... | none | {"database_id": "gas_company", "id": "ee9e576c8f86a525e322bd55d78e32db2b4306f6b01b0fb5cb0471b7b4d13119", "query_sha256": "eb5516d24dff6a6f8a7d51b9381185f9b7046ccbcb2a985587dbfca50515aad8", "split_group_id": "gas_company"} |
Question: What are the headquarters with at least two companies in the banking industry?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)... | none | {"database_id": "gas_company", "id": "aa3b033da58fa9b41b68a10f586deb09830a0f10b1083ccf1e9509fdf6b382bc", "query_sha256": "eb5516d24dff6a6f8a7d51b9381185f9b7046ccbcb2a985587dbfca50515aad8", "split_group_id": "gas_company"} |
Question: How many gas station are opened between 2000 and 2005?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billion ... | count | {"database_id": "gas_company", "id": "a6a21373d3040827e3428769bd1323816ba48e301e93071f83e87876f44c2061", "query_sha256": "71f31e623846393de466d4392457337e91211bb527d4c343238ea3c056434f63", "split_group_id": "gas_company"} |
Question: What is the total number of gas stations that opened between 2000 and 2005?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
co... | count | {"database_id": "gas_company", "id": "41bb6f821fb54e799250bd8ea6b40c1d2f12c4f907efc95bc1cb08c61babfa8a", "query_sha256": "71f31e623846393de466d4392457337e91211bb527d4c343238ea3c056434f63", "split_group_id": "gas_company"} |
Question: Show the manager name for gas stations belonging to the ExxonMobil company.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
co... | none | {"database_id": "gas_company", "id": "4f503afb6cc327b459e0532367f2b42b66dcc30eba373949e869929af7e503a2", "query_sha256": "10742a0130e170077f51b5208ce274a7b1133aa900e48622c928fec4c27b8aa4", "split_group_id": "gas_company"} |
Question: What are the names of the managers for gas stations that are operated by the ExxonMobil company?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profit... | none | {"database_id": "gas_company", "id": "043a739937eefe5464bdac6097a3c0b28f8802c51bab26bb6cce32aa8a826a91", "query_sha256": "10742a0130e170077f51b5208ce274a7b1133aa900e48622c928fec4c27b8aa4", "split_group_id": "gas_company"} |
Question: Show all locations where a gas station for company with market value greater than 100 is located.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profi... | none | {"database_id": "gas_company", "id": "1a159059df250c8d5c9f081852367ea7b24b81b32ba5480bb3f7d42a81ff383a", "query_sha256": "21c9594c83edbb2faf05693acc12229f39c1445faf3c3ce9421695b52310d7b8", "split_group_id": "gas_company"} |
Question: What are the locations that have gas stations owned by a company with a market value greater than 100?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.... | none | {"database_id": "gas_company", "id": "7fb38886295fb42dfdd9f9ac64c00bb2ead75be3ade7ec85004b34b84e738e83", "query_sha256": "21c9594c83edbb2faf05693acc12229f39c1445faf3c3ce9421695b52310d7b8", "split_group_id": "gas_company"} |
Question: Show the manager name with most number of gas stations opened after 2000.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
comp... | none | {"database_id": "gas_company", "id": "2063ea191d57709ca774c1674786edfe0762cfbf1fd9b48fc683f45dde072ac6", "query_sha256": "919cc2c73401911521bc69cfd9148380253e4c0735260327a7306f2100fade91", "split_group_id": "gas_company"} |
Question: What is the name of the manager with the most gas stations that opened after 2000?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (num... | none | {"database_id": "gas_company", "id": "82bc83560bac631fd08aa0dcec51a025768ecbdfd6e3d508ecf1b6b01b1e7637", "query_sha256": "919cc2c73401911521bc69cfd9148380253e4c0735260327a7306f2100fade91", "split_group_id": "gas_company"} |
Question: order all gas station locations by the opening year.
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
company.Assets_billion (n... | none | {"database_id": "gas_company", "id": "fe9f541abd8aa1ee420dfd3713ca80e8edb7bc49cff26bc3c14ce32bb2c0a483", "query_sha256": "179c88fc47faec93a16235f84a281184e1d10f4a10ebb9fb993bc679e3a304c0", "split_group_id": "gas_company"} |
Question: What are the locations of all the gas stations ordered by opening year?
Database columns:
all rows (*) (text)
company.Company_ID (number)
company.Rank (number)
company.Company (text)
company.Headquarters (text)
company.Main_Industry (text)
company.Sales_billion (number)
company.Profits_billion (number)
compan... | none | {"database_id": "gas_company", "id": "3a8513033faff9deb10e864096f57993599d66f4619fb6f73a20b426a411e27a", "query_sha256": "179c88fc47faec93a16235f84a281184e1d10f4a10ebb9fb993bc679e3a304c0", "split_group_id": "gas_company"} |
Question: How many regions do we have?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_office (text)
party.Regio... | count | {"database_id": "party_people", "id": "b53ab844c19e0584f51d81cd4541a3739c10c2f4435331d7e797cb257fd0b8be", "query_sha256": "e9b20e4f29843592df918cb8c0b3bcb83b51f5922a1f814db901d7c024d0e0b8", "split_group_id": "party_people"} |
Question: Count the number of regions.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_office (text)
party.Regio... | count | {"database_id": "party_people", "id": "31f108d1c7050c49f088822ece6cd1b9e13f34441c2f0b44c065dfef286bfb1b", "query_sha256": "e9b20e4f29843592df918cb8c0b3bcb83b51f5922a1f814db901d7c024d0e0b8", "split_group_id": "party_people"} |
Question: Show all distinct region names ordered by their labels.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Lef... | none | {"database_id": "party_people", "id": "06fa70fdff2a6317b435b90d1b562fc3127dd1b6dfb2e7f2b764ff4c711b0468", "query_sha256": "9089a1ca5be16f54aa321789fe49c4bcb01a2e325a0509e4c61437286950c232", "split_group_id": "party_people"} |
Question: What are the different region names, ordered by labels?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Lef... | none | {"database_id": "party_people", "id": "af6d6f7138e5bbb6392fcf5b9463964ce924af2aceb911b61e434c7439c414f3", "query_sha256": "9089a1ca5be16f54aa321789fe49c4bcb01a2e325a0509e4c61437286950c232", "split_group_id": "party_people"} |
Question: How many parties do we have?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_office (text)
party.Regio... | count | {"database_id": "party_people", "id": "7f87272c43c4d90dc20ab591434300068a6aee50a1984d1f8adae7bedffe9375", "query_sha256": "0f6d77ac4504a35df653ebd869f89eec4e5d70e8614ce5868da8870b2ea05766", "split_group_id": "party_people"} |
Question: Count the number of different parties.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_office (text)
p... | count | {"database_id": "party_people", "id": "cbc531c9dce74c2e33c57c7ce3502356f98555295f563d21efe8b35cae464b4a", "query_sha256": "0f6d77ac4504a35df653ebd869f89eec4e5d70e8614ce5868da8870b2ea05766", "split_group_id": "party_people"} |
Question: Show the minister who took office after 1961 or before 1959.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
part... | none | {"database_id": "party_people", "id": "12afdc9bcc2ca2bdd9022a4b8e94d52dca572cab86d2a39216afcafb9c1e21b2", "query_sha256": "f69fa36e3f9dfb8d71cf3729ecdef6e5ce0e37bf1a00e53ab99b9c5d0911c30d", "split_group_id": "party_people"} |
Question: Who are the ministers who took office after 1961 or before 1959?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
... | none | {"database_id": "party_people", "id": "3cce1b4b0f461dc7334e30a53f7370020f5ad9bc326e9d045a04b4a7a3dca36c", "query_sha256": "f69fa36e3f9dfb8d71cf3729ecdef6e5ce0e37bf1a00e53ab99b9c5d0911c30d", "split_group_id": "party_people"} |
Question: Show all ministers who do not belong to Progress Party.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Lef... | none | {"database_id": "party_people", "id": "ffaa09b7fe5ca8195ba3edb44f81439dddeb76f44445286b329fb07aff53e651", "query_sha256": "0ef7858dadbb5f7a004090ae7a789e238b15493054167e89df50e59555407725", "split_group_id": "party_people"} |
Question: Which ministers are not a part of the Progress Party?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_... | none | {"database_id": "party_people", "id": "bb6d798908deb7ecc37c1cbb64e5c239d6e4fcdfc973676a2432d50ca02d166e", "query_sha256": "0ef7858dadbb5f7a004090ae7a789e238b15493054167e89df50e59555407725", "split_group_id": "party_people"} |
Question: Return the minister who left office at the latest time.
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Lef... | none | {"database_id": "party_people", "id": "0bccc7bb6f017181ad62da6f64be7bd7fb578f6bf17cc23029aa68372cf6fbde", "query_sha256": "29e0df1d0344fbb77277e1a5d61309f0f32b65982947dbcb69129e4de8f6ec11", "split_group_id": "party_people"} |
Question: Which minister left office the latest?
Database columns:
all rows (*) (text)
region.Region_ID (number)
region.Region_name (text)
region.Date (text)
region.Label (text)
region.Format (text)
region.Catalogue (text)
party.Party_ID (number)
party.Minister (text)
party.Took_office (text)
party.Left_office (text)
p... | none | {"database_id": "party_people", "id": "2b580f70d026269c19ff3d0ae6d77e2d3bb31319dfd31802bcaddaac9e14b0f7", "query_sha256": "29e0df1d0344fbb77277e1a5d61309f0f32b65982947dbcb69129e4de8f6ec11", "split_group_id": "party_people"} |
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