sentence1 stringlengths 223 9.31k | labels stringclasses 6
values | metadata stringlengths 207 261 |
|---|---|---|
Question: what is the phone number of employees whose salary is in the range of 8000 and 12000?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
department... | none | {"database_id": "hr_1", "id": "1c917ea9e292d658b66947eaf3de579094e1594ad09df2e1c2e0836247f4784e", "query_sha256": "eed68c6897145aaad39a69aa25f44747bc6a355c3f9c8fc8bab0ff8d94804229", "split_group_id": "hr_1"} |
Question: Return the phone numbers of employees with salaries between 8000 and 12000.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTME... | none | {"database_id": "hr_1", "id": "0e17d90e4a62375fd90e2540cd54bc892859e3328bf9f9096796fff973197726", "query_sha256": "eed68c6897145aaad39a69aa25f44747bc6a355c3f9c8fc8bab0ff8d94804229", "split_group_id": "hr_1"} |
Question: display all the information of employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
co... | none | {"database_id": "hr_1", "id": "c4e416cf6e0fe67b137625ec605a5b7ebc201b5b40ab25c3373a49b1837b9510", "query_sha256": "6e7d8f0827dac34e4db3fba3ccd9a6acd7525242e8b75a4ab9548d2cf54f94e8", "split_group_id": "hr_1"} |
Question: Return all information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.R... | none | {"database_id": "hr_1", "id": "ac567e75c4242b9930d1522cd446bb8a6b6d5b496367ee80045a74d47aa106f1", "query_sha256": "6e7d8f0827dac34e4db3fba3ccd9a6acd7525242e8b75a4ab9548d2cf54f94e8", "split_group_id": "hr_1"} |
Question: display all the details from Employees table for those employees who was hired before 2002-06-21.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number... | none | {"database_id": "hr_1", "id": "08ead5e2ef32b0435464ff9dd8e4dccdea48ceeb98263cacc13a70b72a0d3f35", "query_sha256": "f4dc1d7d16a4c8d1a3140ba6d82c4abc2692f0675eb64b0f8f9eda2f1a8a80bf", "split_group_id": "hr_1"} |
Question: What is all the information about employees hired before June 21, 2002?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_N... | none | {"database_id": "hr_1", "id": "9a8726670a4c1be90cd23dad680408f9401ad49468d275b441f34a2e7e4a5bbb", "query_sha256": "f4dc1d7d16a4c8d1a3140ba6d82c4abc2692f0675eb64b0f8f9eda2f1a8a80bf", "split_group_id": "hr_1"} |
Question: display all the information for all employees who have the letters D or S in their first name and also arrange the result in descending order by salary.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countri... | none | {"database_id": "hr_1", "id": "abbe3323a726949b684b6172e9b7638e122dfc7d08b78543f2e44644973afa98", "query_sha256": "2680ddde35cebbe5b806a62e58bbe3a33372208aa088b83b4b319947923234f7", "split_group_id": "hr_1"} |
Question: What is all the information about employees with D or S in their first name, ordered by salary descending?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_I... | none | {"database_id": "hr_1", "id": "2bf403790e244c51f5819393515697770d5eae19d58fe1c584dab7d3ac598abc", "query_sha256": "2680ddde35cebbe5b806a62e58bbe3a33372208aa088b83b4b319947923234f7", "split_group_id": "hr_1"} |
Question: display those employees who joined after 7th September, 1987.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)... | none | {"database_id": "hr_1", "id": "a88285b0a178aed1bff9d83d0c5df096c6bc1c1169d846f34ad777a34b766f60", "query_sha256": "29a189b294cec36aa7f3824ea7c4671a76658c6e513b3994c85056a7aac19b63", "split_group_id": "hr_1"} |
Question: Which employees were hired after September 7th, 1987?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)
departm... | none | {"database_id": "hr_1", "id": "464f85e4225ec9d65a15dd25e65a33a0d8d0328302d266e440eff13acd93807c", "query_sha256": "29a189b294cec36aa7f3824ea7c4671a76658c6e513b3994c85056a7aac19b63", "split_group_id": "hr_1"} |
Question: display the job title of jobs which minimum salary is greater than 9000.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_... | none | {"database_id": "hr_1", "id": "8f8ec2ee205641202e3195b1aa5ce00659d19569c115ed2bac908359d8aa905f", "query_sha256": "18ac19d5130b215a4c6544cbbd6fccc1eecf9a40b90e2e18b803e7dab33ba96d", "split_group_id": "hr_1"} |
Question: Which job titles correspond to jobs with salaries over 9000?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)
... | none | {"database_id": "hr_1", "id": "6e989701d7a55ce45471ff6358d38053b1f2958705b5b0c0865482ae0ea6ff47", "query_sha256": "18ac19d5130b215a4c6544cbbd6fccc1eecf9a40b90e2e18b803e7dab33ba96d", "split_group_id": "hr_1"} |
Question: display the emails of the employees who have no commission percentage and salary within the range 7000 to 12000 and works in that department which number is 50.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)... | none | {"database_id": "hr_1", "id": "9326073e9e115b399aa434e369528c98ecb282c9ef795a16cde1d5df0f4f8ac0", "query_sha256": "48e4f86e8d88ced10c9049e4c57e652543ebb3cbe6d3ece3d8e9148974b84061", "split_group_id": "hr_1"} |
Question: What are the emails of employees with null commission, salary between 7000 and 12000, and who work in department 50?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DE... | none | {"database_id": "hr_1", "id": "d64556672dac77f53324060373f7ed8fedd2233858bdb11d117474732e1de8cf", "query_sha256": "48e4f86e8d88ced10c9049e4c57e652543ebb3cbe6d3ece3d8e9148974b84061", "split_group_id": "hr_1"} |
Question: display those departments where more than ten employees work who got a commission percentage.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
de... | none | {"database_id": "hr_1", "id": "eabfb551f926af78f70bd8fe4e3570f81fa5f96b8f04f1f81155cc2bda084ee5", "query_sha256": "90999cae79cd28ee4c214445ed3f1ef11b44044c6ecbdccf16db03d440168d10", "split_group_id": "hr_1"} |
Question: What are the department ids for which more than 10 employees had a commission?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPAR... | none | {"database_id": "hr_1", "id": "895eda199073415718e9f079fa73724db96c546ac9645cc37ed2a697ae0529d3", "query_sha256": "90999cae79cd28ee4c214445ed3f1ef11b44044c6ecbdccf16db03d440168d10", "split_group_id": "hr_1"} |
Question: Find the ids of the departments where any manager is managing 4 or more employees.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.D... | none | {"database_id": "hr_1", "id": "e4ea32d1ee7f06aeaed91fc42602499bb56b47fd61d399efc08dc15316438f27", "query_sha256": "af440a14011e79f25ab4fe46d2e7bf58bd167c271e9d02656f0c57ba5e18e852", "split_group_id": "hr_1"} |
Question: What are department ids for departments with managers managing more than 3 employees?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
department... | none | {"database_id": "hr_1", "id": "5ff4a0cdf92c88356c08de9e4dc2c589cf05799baccb89eecfba263baf5a42e6", "query_sha256": "af440a14011e79f25ab4fe46d2e7bf58bd167c271e9d02656f0c57ba5e18e852", "split_group_id": "hr_1"} |
Question: display job ID for those jobs that were done by two or more for more than 300 days.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.... | none | {"database_id": "hr_1", "id": "4af0471ef84c103583d70ad120a79c1702eed6dc8b91d3808f302a449432a80e", "query_sha256": "0c0a5d18c4c12acd8e1c3ca692e3f2d22aecf1d37fd813339921e73d126bd286", "split_group_id": "hr_1"} |
Question: What are the job ids for jobs done more than once for a period of more than 300 days?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
department... | none | {"database_id": "hr_1", "id": "51b267025bd1f9f3e283d1b4ac16fa1e123a8f2a7d3b11c09f08669a1cff2c18", "query_sha256": "0c0a5d18c4c12acd8e1c3ca692e3f2d22aecf1d37fd813339921e73d126bd286", "split_group_id": "hr_1"} |
Question: display the ID for those employees who did two or more jobs in the past.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_... | none | {"database_id": "hr_1", "id": "13aaee247b12279bdeb844662153ff9e145dbcd1ba4385831118e65c0f7b4f41", "query_sha256": "132ca0345b3ca771267d35d945af365ba1a63c2e5949df735a0657ee8ea1a06c", "split_group_id": "hr_1"} |
Question: What are the employee ids for employees who have held two or more jobs?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_N... | none | {"database_id": "hr_1", "id": "2aa36d907d93bb6f8703a30b431bc17f2ec06a5401316a0fe5d2c0df1693c743", "query_sha256": "132ca0345b3ca771267d35d945af365ba1a63c2e5949df735a0657ee8ea1a06c", "split_group_id": "hr_1"} |
Question: Can you return all detailed info of jobs which was done by any of the employees who is presently earning a salary on and above 12000?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (numbe... | none | {"database_id": "hr_1", "id": "0b31f0f7cc263e686ee8edde32bd5d54dc3d3f1ea8c5813836823aed12d19f6b", "query_sha256": "3614b58a45c213280e00807b85335d9903ad2fec4138c752a7d6dc2bbad2e1f3", "split_group_id": "hr_1"} |
Question: What is all the job history info done by employees earning a salary greater than or equal to 12000?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (numb... | none | {"database_id": "hr_1", "id": "1e67ced14573d46a2d363efbdba7f6c69ad7008fbc179fe7c3fd8271a0158508", "query_sha256": "3614b58a45c213280e00807b85335d9903ad2fec4138c752a7d6dc2bbad2e1f3", "split_group_id": "hr_1"} |
Question: Find the employee id for all employees who earn more than the average salary.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPART... | none | {"database_id": "hr_1", "id": "bd2de3ef16d826173898e835bad233c1bd98a2ee99d2afb5c16007398142684e", "query_sha256": "410684e403332b336ec2f5901173231cfae1d1e8d73e1d8503f519569b5bec4f", "split_group_id": "hr_1"} |
Question: What are the employee ids for employees who make more than the average?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_N... | none | {"database_id": "hr_1", "id": "af292da0f579232053b188a987196e8ba8d202165e6201cc059c97161227b4a8", "query_sha256": "410684e403332b336ec2f5901173231cfae1d1e8d73e1d8503f519569b5bec4f", "split_group_id": "hr_1"} |
Question: find the name of all departments that do actually have one or more employees assigned to them.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
d... | none | {"database_id": "hr_1", "id": "8f394f63a4d5cebb08c50ac52088ac05833c3dedd48ff84ca4e764ad1660017d", "query_sha256": "e12dd196ba2d3d8846db221a35c436e399d4782dd3e2e4fc2f408fde0bc0586a", "split_group_id": "hr_1"} |
Question: What are the names of departments that have at least one employee.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (... | none | {"database_id": "hr_1", "id": "8ceb5528db04e57bf7f54a875da8914f76a99dc1adb995f637616bc0f5485ff4", "query_sha256": "e12dd196ba2d3d8846db221a35c436e399d4782dd3e2e4fc2f408fde0bc0586a", "split_group_id": "hr_1"} |
Question: get the details of employees who manage a department.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)
departm... | none | {"database_id": "hr_1", "id": "dc021725fc10608dca0dcbadecbfe405915f1ff21bf5c3668a531879d6f8aec9", "query_sha256": "8ff73903678dac092bd79127805b4795a8eedee38c174f84044837fe251baf02", "split_group_id": "hr_1"} |
Question: What is all the information regarding employees who are managers?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (t... | none | {"database_id": "hr_1", "id": "f440e7a9478f8906c9d4bf018174119ad501d2d1dfbd93dbe01a5a11ca48e0e4", "query_sha256": "8ff73903678dac092bd79127805b4795a8eedee38c174f84044837fe251baf02", "split_group_id": "hr_1"} |
Question: display all the information about the department Marketing.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)
d... | none | {"database_id": "hr_1", "id": "69c3d1658174c9937e424aea47a637fc193d10ef3035010052f1fe072247eaaf", "query_sha256": "bd66032e8ce3a4b7a3dfab122e6d5aed6d68e503ba495a8f433959483e7806d4", "split_group_id": "hr_1"} |
Question: What is all the information about the Marketing department?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)
d... | none | {"database_id": "hr_1", "id": "2f19afa63ba71a1a9f37f3fd702b49850c7ff6eed1a260f835f5c5f377804f45", "query_sha256": "bd66032e8ce3a4b7a3dfab122e6d5aed6d68e503ba495a8f433959483e7806d4", "split_group_id": "hr_1"} |
Question: display the ID for those employees who did two or more jobs in the past.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_... | none | {"database_id": "hr_1", "id": "13aaee247b12279bdeb844662153ff9e145dbcd1ba4385831118e65c0f7b4f41", "query_sha256": "132ca0345b3ca771267d35d945af365ba1a63c2e5949df735a0657ee8ea1a06c", "split_group_id": "hr_1"} |
Question: What are the employee ids for those who had two or more jobs.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (text)... | none | {"database_id": "hr_1", "id": "4927852367e82fa29b3ea3ae809dde8867eff379f32190f0b14aeace8a395c89", "query_sha256": "132ca0345b3ca771267d35d945af365ba1a63c2e5949df735a0657ee8ea1a06c", "split_group_id": "hr_1"} |
Question: What are the unique ids of those departments where any manager is managing 4 or more employees.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
... | none | {"database_id": "hr_1", "id": "8bbcae95394168e01ab91dde56c55725913db445de0a80a344de76723a2e8996", "query_sha256": "af440a14011e79f25ab4fe46d2e7bf58bd167c271e9d02656f0c57ba5e18e852", "split_group_id": "hr_1"} |
Question: Give the distinct department ids of departments in which a manager is in charge of 4 or more employees?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (... | none | {"database_id": "hr_1", "id": "b839fa14dae522f68faf6b463a72a5d57acdc1785327f2c5b8dce40cee02c7ec", "query_sha256": "af440a14011e79f25ab4fe46d2e7bf58bd167c271e9d02656f0c57ba5e18e852", "split_group_id": "hr_1"} |
Question: Find the job ID for those jobs which average salary is above 8000.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMENT_NAME (... | none | {"database_id": "hr_1", "id": "b59a373e5213ce7d048f8f10c8017e41db349fa765c1199faf145794fa5e1c0b", "query_sha256": "99b593f6fe06043dea0e05aa0aa6d8327dbb89a32052a1d4d6bc04da91c434fb", "split_group_id": "hr_1"} |
Question: What are the job ids corresponding to jobs with average salary above 8000?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DEPARTMEN... | none | {"database_id": "hr_1", "id": "94afbf5b88959ecc8d5999c4853467897eab5b6f9699f4baff439e91645121db", "query_sha256": "99b593f6fe06043dea0e05aa0aa6d8327dbb89a32052a1d4d6bc04da91c434fb", "split_group_id": "hr_1"} |
Question: display all the information of the employees whose salary if within the range of smallest salary and 2500.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_I... | none | {"database_id": "hr_1", "id": "d86c7a6a64ee98518308e268d80c9be5ade9a22acd8ddb4ab10f55cc26003f6b", "query_sha256": "b4dfe1f5577bb9c573feb84e818b0af1389bf2d1173d63a23100bbdf1e61abac", "split_group_id": "hr_1"} |
Question: What is all the information regarding employees with salaries above the minimum and under 2500?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
... | none | {"database_id": "hr_1", "id": "9a190593c361f6b79d4aa3b41f4b787c906bdbc88a81ae2defe5d315d2dd5279", "query_sha256": "b4dfe1f5577bb9c573feb84e818b0af1389bf2d1173d63a23100bbdf1e61abac", "split_group_id": "hr_1"} |
Question: Find the ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_... | none | {"database_id": "hr_1", "id": "6bf93be41d259350a8055d441622b65996e340263da2968dec4a218d88091e46", "query_sha256": "889f6d57d5fc71f19d243b28ccb4bdcd622f91297ffb4d839ef7bb942e3ddece", "split_group_id": "hr_1"} |
Question: What are the ids for employees who do not work in departments with managers that have ids between 100 and 200?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTME... | none | {"database_id": "hr_1", "id": "785a3a878a2664dc8a4c7f9fa550bff2fbf16a8bdd02a33114698bf9c9d37dd1", "query_sha256": "889f6d57d5fc71f19d243b28ccb4bdcd622f91297ffb4d839ef7bb942e3ddece", "split_group_id": "hr_1"} |
Question: display all the information of those employees who did not have any job in the past.
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments... | none | {"database_id": "hr_1", "id": "dfab38c594830264b3b9df91475e32550241557674d60cd3c922bf4f2b6e66ba", "query_sha256": "bc831c473a63411eb9d82bea9c9b44a4a3373982335360c3c99370850728df0d", "split_group_id": "hr_1"} |
Question: What is all the information about employees who have never had a job in the past?
Database columns:
all rows (*) (text)
regions.REGION_ID (number)
regions.REGION_NAME (text)
countries.COUNTRY_ID (text)
countries.COUNTRY_NAME (text)
countries.REGION_ID (number)
departments.DEPARTMENT_ID (number)
departments.DE... | none | {"database_id": "hr_1", "id": "8cc4d29c0d52d9a6d6144faad312b77002d2d5e335eb835625640cf04081165c", "query_sha256": "bc831c473a63411eb9d82bea9c9b44a4a3373982335360c3c99370850728df0d", "split_group_id": "hr_1"} |
Question: What is the id of the longest song?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (text)
... | none | {"database_id": "music_1", "id": "5931c2fd12a54accae73f3df805c3caa3b8f99e8743dc6778f6148773664c9a6", "query_sha256": "75ec0e7c54227bd57a6caca1951fecc054ab3176f45482ef852b9ed88661f02a", "split_group_id": "music_1"} |
Question: Find the id of the song that lasts the longest.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_... | none | {"database_id": "music_1", "id": "e580b31766b3e65160214a9ffe971ce6809622f2aeec6df9f633ab8dceb99699", "query_sha256": "75ec0e7c54227bd57a6caca1951fecc054ab3176f45482ef852b9ed88661f02a", "split_group_id": "music_1"} |
Question: Find the names of all English songs.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (text)... | none | {"database_id": "music_1", "id": "10d4286e5e5124ca18fb6949cdfbabc8d21a74ffb8cd5c37f090bc309d395c15", "query_sha256": "3aa25413c512d9c39e6c4e2b2e67f57bdd430e5b5de204e3a0f9dab2d7cc25e2", "split_group_id": "music_1"} |
Question: What are the names of all songs in English?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size... | none | {"database_id": "music_1", "id": "76e55ee6d18e17e277ac25f90e9f74d81ac7cf09de848eaf79ce256bbdebb1fe", "query_sha256": "3aa25413c512d9c39e6c4e2b2e67f57bdd430e5b5de204e3a0f9dab2d7cc25e2", "split_group_id": "music_1"} |
Question: What are the id of songs whose format is mp3.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_si... | none | {"database_id": "music_1", "id": "346fcaed67e8ed7019c66c5e36cb6199a047112244a8f05326f3dede38a8d64f", "query_sha256": "0420e031e0b775e72543408d0315adeeda2d16cf6f11305be960136d466e0371", "split_group_id": "music_1"} |
Question: What are the id of all the files in mp3 format?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_... | none | {"database_id": "music_1", "id": "2a64ac5c6d77985ca525d9283912f1ac9014ef38ba88f595aaa16a7fa084749c", "query_sha256": "0420e031e0b775e72543408d0315adeeda2d16cf6f11305be960136d466e0371", "split_group_id": "music_1"} |
Question: What is the name of the artist who produced the shortest song?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (te... | none | {"database_id": "music_1", "id": "e7fd84649866ff51a95f9aa0f361bff1bb6100464aa00f81ed40d4b3eae09021", "query_sha256": "82546e6b8005109d2880b15bb6c613d09050d537dd621ca30ef495ffff3bddee", "split_group_id": "music_1"} |
Question: What are the names of the artists who sang the shortest song?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (tex... | none | {"database_id": "music_1", "id": "b7403f2ba41a29b5b8a8e3a8a02d5c2964df44085adacc4c01ba10abe14dfffa", "query_sha256": "82546e6b8005109d2880b15bb6c613d09050d537dd621ca30ef495ffff3bddee", "split_group_id": "music_1"} |
Question: How many songs have 4 minute duration?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (tex... | count | {"database_id": "music_1", "id": "742d54a905797d1d2ec45929586cfde9436e2157d604950c422eb37753ddbb93", "query_sha256": "f404f34328fdc6ccca8457655265138a84a6794a7d9ccaa2c0a04f7e48672be9", "split_group_id": "music_1"} |
Question: What is the count of the songs that last approximately 4 minutes?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name ... | count | {"database_id": "music_1", "id": "74148bf5a6ba63faeae3f2287e2384979905cdb5197d1c6969c4df377c8478ad", "query_sha256": "f404f34328fdc6ccca8457655265138a84a6794a7d9ccaa2c0a04f7e48672be9", "split_group_id": "music_1"} |
Question: How many artists are from Bangladesh?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (text... | count | {"database_id": "music_1", "id": "6f1d4028a52a20243d84ba9d4e0873da852567ca27821d8cbce3ddb8307d9e6a", "query_sha256": "5688ecede8b0a4d4599118d6fb802d134106d0fed445c1a49e4fa3389fa6b5c6", "split_group_id": "music_1"} |
Question: How many Bangladeshi artists are listed?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (t... | count | {"database_id": "music_1", "id": "4bcbb0b14e373f922785a250357e04c65059c5979157e267022b36f284434ff8", "query_sha256": "5688ecede8b0a4d4599118d6fb802d134106d0fed445c1a49e4fa3389fa6b5c6", "split_group_id": "music_1"} |
Question: What is the average rating of songs produced by female artists?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (t... | average | {"database_id": "music_1", "id": "85399cc9eab5260ce8d28b88081025de7579628b128031cea8df2ee2f7e5d504", "query_sha256": "278ee43a25870021a5dad6ca70fe9b9c6408d8369ae7e5e387eac016cf3d191e", "split_group_id": "music_1"} |
Question: How many songs, on average, are sung by a female artist?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
fi... | average | {"database_id": "music_1", "id": "4376c55c83582a6de9ee6e355a8cae57ccf42b4e7ec11a6be74a6fcc3d96a4d7", "query_sha256": "278ee43a25870021a5dad6ca70fe9b9c6408d8369ae7e5e387eac016cf3d191e", "split_group_id": "music_1"} |
Question: What is the most popular file format?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_size (text... | none | {"database_id": "music_1", "id": "dac82a75e294a1d9dbf39193674ab26f357b44702f3fd5eab365e1b90442c3cf", "query_sha256": "d149d09100511b3677ac1e0afe78014363c90008c04ccb49770893a138cffa82", "split_group_id": "music_1"} |
Question: Find the file format that is used by the most files.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.... | none | {"database_id": "music_1", "id": "4940ede12bd22543c4ae6f7be4381e38bd3ebf3ebd19a26fde5572cd849aea3e", "query_sha256": "d149d09100511b3677ac1e0afe78014363c90008c04ccb49770893a138cffa82", "split_group_id": "music_1"} |
Question: What is the country of origin of the artist who is female and produced a song in Bangla?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (num... | none | {"database_id": "music_1", "id": "76f859829cb82eee92865026c13de35cdf1fea0ad572ceedf59cf4a186ae9082", "query_sha256": "2ea90c800d8e27087510e15ce13f5c95667896612bb9eb992716eb40b352fa4a", "split_group_id": "music_1"} |
Question: What countries are the female artists who sung in the language Bangla from?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.ar... | none | {"database_id": "music_1", "id": "812deb90d7adbdd49203377e1dc696b339478eca4e7984e8d1d31a4998b6dff7", "query_sha256": "2ea90c800d8e27087510e15ce13f5c95667896612bb9eb992716eb40b352fa4a", "split_group_id": "music_1"} |
Question: What is the average duration of songs that have mp3 format and resolution below 800?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)... | average | {"database_id": "music_1", "id": "75946c3e788473b214db36326c242397d942af74df0fdb00f86a764d275b90a3", "query_sha256": "625ff78c91348220f0278dbd534a59139ef4822a068db9bb464db86aaa3fb7ee", "split_group_id": "music_1"} |
Question: What is the average song duration for the songs that are in mp3 format and whose resolution below 800?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
f... | average | {"database_id": "music_1", "id": "9d4152dd783698166ee016ba23e2d2d7704f8c1a5ce7b7dacc880e12429555e2", "query_sha256": "625ff78c91348220f0278dbd534a59139ef4822a068db9bb464db86aaa3fb7ee", "split_group_id": "music_1"} |
Question: Find the distinct names of all songs that have a higher resolution than some songs in English.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_i... | none | {"database_id": "music_1", "id": "1616c5e78bca2a312e8bf3319ca4c6e23779a4b155f068533adaf52bebaae9ef", "query_sha256": "793afe7ae274dc9fdcfbc9a26679b41281cef3ed91cf4a9fb983ce83ac0ae04c", "split_group_id": "music_1"} |
Question: What are the different names for all songs that have a higher resolution than English songs?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id ... | none | {"database_id": "music_1", "id": "2a1fe952136a0ee1992c5e31cad9edc3c91e20c59d73fab1c24524d7f149ddcc", "query_sha256": "793afe7ae274dc9fdcfbc9a26679b41281cef3ed91cf4a9fb983ce83ac0ae04c", "split_group_id": "music_1"} |
Question: What are the names of all songs that have a lower rating than some song of blues genre?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (numb... | none | {"database_id": "music_1", "id": "4f2a15768bbf12a4bbfbb1f5b4812ea6950960c59865db6ed1e75a9a651bede5", "query_sha256": "32f3128ab8326014a484f5ccbb45188755109bd3e915d1d5594a8ce40259d852", "split_group_id": "music_1"} |
Question: What are the names of the songs that have a lower rating than at least one blues song?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (numbe... | none | {"database_id": "music_1", "id": "d05128ed0905a83a69ca1bbbcedca248683ee6780fcebe77dc5b9544498c1879", "query_sha256": "32f3128ab8326014a484f5ccbb45188755109bd3e915d1d5594a8ce40259d852", "split_group_id": "music_1"} |
Question: Give me a list of the names of all songs ordered by their resolution.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_n... | none | {"database_id": "music_1", "id": "b8abe1e6a96151efa021c22daacc1edd329d72a16a00aed1ddcfc5225a344d27", "query_sha256": "0c4b29ed4d767789a151fa2514dfc3b74ce20b6a864b19f6f689d348db6920f4", "split_group_id": "music_1"} |
Question: What are the names of all songs that are ordered by their resolution numbers?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.... | none | {"database_id": "music_1", "id": "2332a4626e31713a1d54f7079a0c7b6c7a62129b9d2de806ad710d21c83c94a2", "query_sha256": "0c4b29ed4d767789a151fa2514dfc3b74ce20b6a864b19f6f689d348db6920f4", "split_group_id": "music_1"} |
Question: What is the language used most often in the songs?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.fi... | none | {"database_id": "music_1", "id": "92bb6176f318debdd46a79cdbbc89c4e6bf50e3d2d2dec59cf8c47f009d66f78", "query_sha256": "6126262c44b9d1cac515e6f703c8620473cd1bcaac8fe5529b025dc5eead08e6", "split_group_id": "music_1"} |
Question: What are the languages that are used most often in songs?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
f... | none | {"database_id": "music_1", "id": "7a396f9025eab7d36a6358403ab1ee92315bbfbe1fff2fd6603162be0bc19688", "query_sha256": "6126262c44b9d1cac515e6f703c8620473cd1bcaac8fe5529b025dc5eead08e6", "split_group_id": "music_1"} |
Question: What is the language that was used most often in songs with resolution above 500?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
fi... | none | {"database_id": "music_1", "id": "1f07a8e39f20c59cff48a1b26b13dc2c5b385c3ec707f6c737c108d6fc85d26d", "query_sha256": "324962cfbb237cf91a51e90efe6b777735e3aae3e600db27c6551e388e048557", "split_group_id": "music_1"} |
Question: What is the name of the artist, for each language, that has the most songs with a higher resolution than 500?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (... | none | {"database_id": "music_1", "id": "57c8a95e04adddd0c20cc6d7649e5bc081eaf182783dafc419f61eb8e8a03cfa", "query_sha256": "324962cfbb237cf91a51e90efe6b777735e3aae3e600db27c6551e388e048557", "split_group_id": "music_1"} |
Question: What are the names of artists who are Male and are from UK?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)... | none | {"database_id": "music_1", "id": "ae628e2d237cc5a4704e2cc4225a589b866cba133064d3c8e8df73eba4c8be1f", "query_sha256": "93173dac9732943222e8180261094ba5f7c02796ce9f34d89acd3dc0fec381ab", "split_group_id": "music_1"} |
Question: What are the names of all male British artists?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
files.file_... | none | {"database_id": "music_1", "id": "366ef8a3fbf3a0e88513c6d205241a2b71ae038e8d9485013fd09d648b2354d2", "query_sha256": "93173dac9732943222e8180261094ba5f7c02796ce9f34d89acd3dc0fec381ab", "split_group_id": "music_1"} |
Question: Find the names of songs whose genre is modern or language is English.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_n... | none | {"database_id": "music_1", "id": "f94874ab00a9dbd0da428a22d3393fa8d5a72fac24536d9e0d8633bbb8a4625d", "query_sha256": "8a43de7055951f9e4008843370e5d8789cda27088f0d8aa365905a70cc806df2", "split_group_id": "music_1"} |
Question: What are the names of the songs that are modern or sung in English?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_nam... | none | {"database_id": "music_1", "id": "9f4a1ef1bc13ba8a4541aac39b3c8285224fca8c119cbdab39d94a0df5dee223", "query_sha256": "8a43de7055951f9e4008843370e5d8789cda27088f0d8aa365905a70cc806df2", "split_group_id": "music_1"} |
Question: Find the country of origin for the artist who made the least number of songs?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.... | none | {"database_id": "music_1", "id": "7c13589b3b0e6e6d6afd731cf5c78e6b1babcd61dbd08c4d97d446c84bff1cec", "query_sha256": "4306dc9b0d073b52c9e3f5d5f3bf96ad3d28ee07b21688732d3a9c005ef6e1be", "split_group_id": "music_1"} |
Question: What country is the artist who made the fewest songs from?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
files.artist_name (text)
... | none | {"database_id": "music_1", "id": "07c46b1c177e1742f5c138a10728707e4b7bfbd41bd429c7b95053a4b646aac3", "query_sha256": "4306dc9b0d073b52c9e3f5d5f3bf96ad3d28ee07b21688732d3a9c005ef6e1be", "split_group_id": "music_1"} |
Question: What are the names of the songs whose rating is below the rating of all songs in English?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (nu... | none | {"database_id": "music_1", "id": "93c8b2e9a90f4d4308a54a0c93689889eec74c63286ab598a5a34c71bd723fd9", "query_sha256": "f1fc14f955b6e91aa92d874cdeb09bf62f87f30cad7e7a2393600cae8e89900b", "split_group_id": "music_1"} |
Question: What are the song names for every song whose rating is less than the minimum rating for English songs?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
f... | none | {"database_id": "music_1", "id": "d9120d5e29b502f5306b16c85cdc31f5d49f8fb1ba39431523990848ca16a716", "query_sha256": "f1fc14f955b6e91aa92d874cdeb09bf62f87f30cad7e7a2393600cae8e89900b", "split_group_id": "music_1"} |
Question: What is ids of the songs whose resolution is higher than the resolution of any songs with rating lower than 8?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre ... | none | {"database_id": "music_1", "id": "843f65f850f5b538927115d10b2ab82e19f2b5fa8096e487c1b66976edf96c66", "query_sha256": "602e462f68145e1819a6abfdf71781abdc9f596d2d478ca889c14aaee8d55ebd", "split_group_id": "music_1"} |
Question: What is the id of every song that has a resolution higher than that of a song with a rating below 8?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
fil... | none | {"database_id": "music_1", "id": "d0427662a4400e8a43a87d88c8e49814ec586f5813725f0069029ab9a3a4c529", "query_sha256": "602e462f68145e1819a6abfdf71781abdc9f596d2d478ca889c14aaee8d55ebd", "split_group_id": "music_1"} |
Question: What is ids of the songs whose resolution is higher than the average resolution of songs in modern genre?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text... | none | {"database_id": "music_1", "id": "bb153187520a42414d47739589624aeb8b620673845355e495c4d5dc5d5e780e", "query_sha256": "8a101a3c0c015b670a2d849aa886971e7c3af2008777aa6ad2dc546c25d75237", "split_group_id": "music_1"} |
Question: What are the ids of all songs that have higher resolution of the average resolution in the modern genre?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)... | none | {"database_id": "music_1", "id": "41084d1528deb22fc71c73fb870bad3faa81369024b3344b71e7bea972ae176a", "query_sha256": "8a101a3c0c015b670a2d849aa886971e7c3af2008777aa6ad2dc546c25d75237", "split_group_id": "music_1"} |
Question: Find the top 3 artists who have the largest number of songs works whose language is Bangla.
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (... | none | {"database_id": "music_1", "id": "1a9efcf63c203a2316a0ce57af55becd326e60e08911f0187ce2fed8cb969cfa", "query_sha256": "22d6d799918d522ebb4449faab638a601c78208f9f157a13449dc2cb9f0cab5a", "split_group_id": "music_1"} |
Question: What are the top 3 artists with the largest number of songs in the language Bangla?
Database columns:
all rows (*) (text)
genre.g_name (text)
genre.rating (text)
genre.most_popular_in (text)
artist.artist_name (text)
artist.country (text)
artist.gender (text)
artist.preferred_genre (text)
files.f_id (number)
... | none | {"database_id": "music_1", "id": "e6e7d6e86ab101973e7d3712e50f6f32fba3f490c7b31c56bf37d45c436382a7", "query_sha256": "22d6d799918d522ebb4449faab638a601c78208f9f157a13449dc2cb9f0cab5a", "split_group_id": "music_1"} |
Question: What is average salary of the players in the team named 'Boston Red Stockings' ?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_po... | average | {"database_id": "baseball_1", "id": "8bf7988990dfc40358412a86a0ef72163a6e6f664f7809d369981664e61ea201", "query_sha256": "92854972d08e19c95b033bd9875332fa34588b6826fd0cfb5b787649138f046f", "split_group_id": "baseball_1"} |
Question: Compute the average salary of the players in the team called 'Boston Red Stockings'.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.startin... | average | {"database_id": "baseball_1", "id": "12fac38deda4acc0b4903c7029359f45b0fa60d34056a44e1c0996257ffe55e1", "query_sha256": "92854972d08e19c95b033bd9875332fa34588b6826fd0cfb5b787649138f046f", "split_group_id": "baseball_1"} |
Question: How many parks are there in the state of NY?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_pos (number)
appearances.year (number)... | count | {"database_id": "baseball_1", "id": "19235325463e01dc80de00c29944e4dc3e8f0acffcee7f1aff9386c8cd77ba20", "query_sha256": "8196f4e98e9c8a9471528ed894498e6fd24e80f84ec3a51f766a202222813340", "split_group_id": "baseball_1"} |
Question: Show me the number of parks the state of NY has.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_pos (number)
appearances.year (num... | count | {"database_id": "baseball_1", "id": "7922866cc974df439305520f9946ea44f210b24132d881c55ea3df34ec11b635", "query_sha256": "8196f4e98e9c8a9471528ed894498e6fd24e80f84ec3a51f766a202222813340", "split_group_id": "baseball_1"} |
Question: List three countries which are the origins of the least players.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_pos (number)
appea... | none | {"database_id": "baseball_1", "id": "fdafa654a3aa151c9665817dd7df25dc285d1d7eb5baf877b99cd5371871d732", "query_sha256": "0ebb0290a1c8f3c32517406ecf4de9df53cca26a2667c381279f7f04dbf5f9eb", "split_group_id": "baseball_1"} |
Question: What are the three countries that the least players are from?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_pos (number)
appearan... | none | {"database_id": "baseball_1", "id": "13d0a843cf5303bc06bc9f09db57d913747be84bded34cba0e5ecf5499f4cc6b", "query_sha256": "0ebb0290a1c8f3c32517406ecf4de9df53cca26a2667c381279f7f04dbf5f9eb", "split_group_id": "baseball_1"} |
Question: How many players born in USA are right-handed batters? That is, have the batter value 'R'.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.s... | count | {"database_id": "baseball_1", "id": "ee7840aa1044811f658f525ad0011e3793a23316a4e4f5913b8a9af992f8b60d", "query_sha256": "34da2c25d358b93a926bb928d9c643bba7aaac90a7f35a4a6911f3f43f1fb21a", "split_group_id": "baseball_1"} |
Question: Count the number of players who were born in USA and have bats information 'R'.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting_pos... | count | {"database_id": "baseball_1", "id": "d7c01e0f31baef9856fb1034a3b38d8d57746b2704b9eedbaec46411c17e73b1", "query_sha256": "34da2c25d358b93a926bb928d9c643bba7aaac90a7f35a4a6911f3f43f1fb21a", "split_group_id": "baseball_1"} |
Question: What is the average height of the players from the college named 'Yale University'?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.starting... | average | {"database_id": "baseball_1", "id": "f78b04de6a37083544456a920af6317e4f61929ccdeb1c3fdfdfddfb547104a9", "query_sha256": "47fd9893f47c54e5048e6ab39360564871636ce84f8dcb82a2fc03451baa566d", "split_group_id": "baseball_1"} |
Question: Find the average height of the players who belong to the college called 'Yale University'.
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.s... | average | {"database_id": "baseball_1", "id": "4db4551458afdf5614c7c63155708f227b6d91121c2ccb7c6d0c1c4dc17164a5", "query_sha256": "47fd9893f47c54e5048e6ab39360564871636ce84f8dcb82a2fc03451baa566d", "split_group_id": "baseball_1"} |
Question: List the maximum scores of the team Boston Red Stockings when the team won in postseason?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_star.st... | maximum | {"database_id": "baseball_1", "id": "9a7667a8525ed37762e0c8168eb4b376ad44741baacdb25d66862463bd4b66bd", "query_sha256": "e74a7b9c9252da8f7def0ccc749a0b212290ecfdd49c023d2e33a3985e40c7ed", "split_group_id": "baseball_1"} |
Question: What are the maximum scores the team Boston Red Stockings got when the team won in postseason?
Database columns:
all rows (*) (text)
all_star.player_id (text)
all_star.year (number)
all_star.game_num (number)
all_star.game_id (text)
all_star.team_id (text)
all_star.league_id (text)
all_star.gp (number)
all_st... | maximum | {"database_id": "baseball_1", "id": "c5424814822ac5903cd698def93c374201b3af30ffa98626269b2e62690886d7", "query_sha256": "e74a7b9c9252da8f7def0ccc749a0b212290ecfdd49c023d2e33a3985e40c7ed", "split_group_id": "baseball_1"} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.