db_id stringclasses 140
values | question stringlengths 16 224 | query stringlengths 18 577 | db_schema stringclasses 140
values | question_toks listlengths 4 44 |
|---|---|---|---|---|
document_management | What are the names of all the documents, as well as the access counts of each, ordered alphabetically? | SELECT document_name , access_count FROM documents ORDER BY document_name | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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",",
"ordered",
"alphabetically",
"?"
] |
document_management | Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed? | SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"?"
] |
document_management | What is the name of the document which has been accessed the most times, as well as the number of times it has been accessed? | SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
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"the",
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"?"
] |
document_management | Find the types of documents with more than 4 documents. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"types",
"of",
"documents",
"with",
"more",
"than",
"4",
"documents",
"."
] |
document_management | What are the codes of types of documents of which there are for or more? | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"are",
"the",
"codes",
"of",
"types",
"of",
"documents",
"of",
"which",
"there",
"are",
"for",
"or",
"more",
"?"
] |
document_management | Find the total access count of all documents in the most popular document type. | SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
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"count",
"of",
"all",
"documents",
"in",
"the",
"most",
"popular",
"document",
"type",
"."
] |
document_management | What is the total access count of documents that are of the most common document type? | SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"of",
"documents",
"that",
"are",
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"the",
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"document",
"type",
"?"
] |
document_management | What is the average access count of documents? | SELECT avg(access_count) FROM documents | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"is",
"the",
"average",
"access",
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"of",
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"?"
] |
document_management | Find the average access count across all documents? | SELECT avg(access_count) FROM documents | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"average",
"access",
"count",
"across",
"all",
"documents",
"?"
] |
document_management | What is the structure of the document with the least number of accesses? | SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"of",
"the",
"document",
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"least",
"number",
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"?"
] |
document_management | Return the structure description of the document that has been accessed the fewest number of times. | SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Return",
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"of",
"the",
"document",
"that",
"has",
"been",
"accessed",
"the",
"fewest",
"number",
"of",
"times",
"."
] |
document_management | What is the type of the document named "David CV"? | SELECT document_type_code FROM documents WHERE document_name = "David CV" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"the",
"type",
"of",
"the",
"document",
"named",
"``",
"David",
"CV",
"''",
"?"
] |
document_management | Return the type code of the document named "David CV". | SELECT document_type_code FROM documents WHERE document_name = "David CV" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Return",
"the",
"type",
"code",
"of",
"the",
"document",
"named",
"``",
"David",
"CV",
"''",
"."
] |
document_management | Find the list of documents that are both in the most three popular type and have the most three popular structure. | SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"list",
"of",
"documents",
"that",
"are",
"both",
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"the",
"most",
"three",
"popular",
"type",
"and",
"have",
"the",
"most",
"three",
"popular",
"structure",
"."
] |
document_management | What are the names of documents that have both one of the three most common types and one of three most common structures? | SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"common",
"types",
"and",
"one",
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"?"
] |
document_management | What document types do have more than 10000 total access number. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"than",
"10000",
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"."
] |
document_management | Return the codes of the document types that do not have a total access count of over 10000. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"types",
"that",
"do",
"not",
"have",
"a",
"total",
"access",
"count",
"of",
"over",
"10000",
"."
] |
document_management | What are all the section titles of the document named "David CV"? | SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"the",
"section",
"titles",
"of",
"the",
"document",
"named",
"``",
"David",
"CV",
"''",
"?"
] |
document_management | Give the section titles of the document with the name "David CV". | SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Give",
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"the",
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"name",
"``",
"David",
"CV",
"''",
"."
] |
document_management | Find all the name of documents without any sections. | SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"all",
"the",
"name",
"of",
"documents",
"without",
"any",
"sections",
"."
] |
document_management | What are the names of documents that do not have any sections? | SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
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"the",
"names",
"of",
"documents",
"that",
"do",
"not",
"have",
"any",
"sections",
"?"
] |
document_management | List all the username and passwords of users with the most popular role. | SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"List",
"all",
"the",
"username",
"and",
"passwords",
"of",
"users",
"with",
"the",
"most",
"popular",
"role",
"."
] |
document_management | What are the usernames and passwords of users that have the most common role? | SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"are",
"the",
"usernames",
"and",
"passwords",
"of",
"users",
"that",
"have",
"the",
"most",
"common",
"role",
"?"
] |
document_management | Find the average access counts of documents with functional area "Acknowledgement". | SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
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"access",
"counts",
"of",
"documents",
"with",
"functional",
"area",
"``",
"Acknowledgement",
"''",
"."
] |
document_management | What are the average access counts of documents that have the functional area description "Acknowledgement"? | SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
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"``",
"Acknowledgement",
"''",
"?"
] |
document_management | Find names of the document without any images. | SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"names",
"of",
"the",
"document",
"without",
"any",
"images",
"."
] |
document_management | What are the names of documents that do not have any images? | SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"are",
"the",
"names",
"of",
"documents",
"that",
"do",
"not",
"have",
"any",
"images",
"?"
] |
document_management | What is the name of the document with the most number of sections? | SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
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"the",
"name",
"of",
"the",
"document",
"with",
"the",
"most",
"number",
"of",
"sections",
"?"
] |
document_management | Return the name of the document that has the most sections. | SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Return",
"the",
"name",
"of",
"the",
"document",
"that",
"has",
"the",
"most",
"sections",
"."
] |
document_management | List all the document names which contains "CV". | SELECT document_name FROM documents WHERE document_name LIKE "%CV%" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"List",
"all",
"the",
"document",
"names",
"which",
"contains",
"``",
"CV",
"''",
"."
] |
document_management | What are the names of documents that contain the substring "CV"? | SELECT document_name FROM documents WHERE document_name LIKE "%CV%" | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"are",
"the",
"names",
"of",
"documents",
"that",
"contain",
"the",
"substring",
"``",
"CV",
"''",
"?"
] |
document_management | How many users are logged in? | SELECT count(*) FROM users WHERE user_login = 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"How",
"many",
"users",
"are",
"logged",
"in",
"?"
] |
document_management | Count the number of users that are logged in. | SELECT count(*) FROM users WHERE user_login = 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Count",
"the",
"number",
"of",
"users",
"that",
"are",
"logged",
"in",
"."
] |
document_management | Find the description of the most popular role among the users that have logged in. | SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1) | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"description",
"of",
"the",
"most",
"popular",
"role",
"among",
"the",
"users",
"that",
"have",
"logged",
"in",
"."
] |
document_management | What is the description of the most popular role among users that have logged in? | SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1) | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
"is",
"the",
"description",
"of",
"the",
"most",
"popular",
"role",
"among",
"users",
"that",
"have",
"logged",
"in",
"?"
] |
document_management | Find the average access count of documents with the least popular structure. | SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"average",
"access",
"count",
"of",
"documents",
"with",
"the",
"least",
"popular",
"structure",
"."
] |
document_management | What is the average access count of documents that have the least common structure? | SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"?"
] |
document_management | List all the image name and URLs in the order of their names. | SELECT image_name , image_url FROM images ORDER BY image_name | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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] |
document_management | What are the names and urls of images, sorted alphabetically? | SELECT image_name , image_url FROM images ORDER BY image_name | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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",",
"sorted",
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] |
document_management | Find the number of users in each role. | SELECT count(*) , role_code FROM users GROUP BY role_code | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"Find",
"the",
"number",
"of",
"users",
"in",
"each",
"role",
"."
] |
document_management | What are the different role codes for users, and how many users have each? | SELECT count(*) , role_code FROM users GROUP BY role_code | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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",",
"and",
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"?"
] |
document_management | What document types have more than 2 corresponding documents? | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
"What",
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"types",
"have",
"more",
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"2",
"corresponding",
"documents",
"?"
] |
document_management | Give the codes of document types that have more than 2 corresponding documents. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 | Roles: role_code (text), role_description (text) | Users: user_id (number), role_code (text), user_name (text), user_login (text), password (text) | Document_Structures: document_structure_code (text), parent_document_structure_code (text), document_structure_description (text) | Functional_Areas: functional_area_code ... | [
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"document",
"types",
"that",
"have",
"more",
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"."
] |
company_office | How many companies are there? | SELECT count(*) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"How",
"many",
"companies",
"are",
"there",
"?"
] |
company_office | Count the number of companies. | SELECT count(*) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Count",
"the",
"number",
"of",
"companies",
"."
] |
company_office | List the names of companies in descending order of market value. | SELECT name FROM Companies ORDER BY Market_Value_billion DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"names",
"of",
"companies",
"in",
"descending",
"order",
"of",
"market",
"value",
"."
] |
company_office | Sort the company names in descending order of the company's market value. | SELECT name FROM Companies ORDER BY Market_Value_billion DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Sort",
"the",
"company",
"names",
"in",
"descending",
"order",
"of",
"the",
"company",
"'s",
"market",
"value",
"."
] |
company_office | What are the names of companies whose headquarters are not "USA"? | SELECT name FROM Companies WHERE Headquarters != 'USA' | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"What",
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"the",
"names",
"of",
"companies",
"whose",
"headquarters",
"are",
"not",
"``",
"USA",
"''",
"?"
] |
company_office | Find the names of the companies whose headquarters are not located in "USA". | SELECT name FROM Companies WHERE Headquarters != 'USA' | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Find",
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"names",
"of",
"the",
"companies",
"whose",
"headquarters",
"are",
"not",
"located",
"in",
"``",
"USA",
"''",
"."
] |
company_office | What are the name and assets of each company, sorted in ascending order of company name? | SELECT name , Assets_billion FROM Companies ORDER BY name ASC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
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"the",
"name",
"and",
"assets",
"of",
"each",
"company",
",",
"sorted",
"in",
"ascending",
"order",
"of",
"company",
"name",
"?"
] |
company_office | List the name and assets of each company in ascending order of company name. | SELECT name , Assets_billion FROM Companies ORDER BY name ASC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"name",
"and",
"assets",
"of",
"each",
"company",
"in",
"ascending",
"order",
"of",
"company",
"name",
"."
] |
company_office | What are the average profits of companies? | SELECT avg(Profits_billion) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"What",
"are",
"the",
"average",
"profits",
"of",
"companies",
"?"
] |
company_office | Compute the average profits companies make. | SELECT avg(Profits_billion) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Compute",
"the",
"average",
"profits",
"companies",
"make",
"."
] |
company_office | What are the maximum and minimum sales of the companies whose industries are not "Banking". | SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"What",
"are",
"the",
"maximum",
"and",
"minimum",
"sales",
"of",
"the",
"companies",
"whose",
"industries",
"are",
"not",
"``",
"Banking",
"''",
"."
] |
company_office | Find the maximum and minimum sales of the companies that are not in the "Banking" industry. | SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Find",
"the",
"maximum",
"and",
"minimum",
"sales",
"of",
"the",
"companies",
"that",
"are",
"not",
"in",
"the",
"``",
"Banking",
"''",
"industry",
"."
] |
company_office | How many different industries are the companies in? | SELECT count(DISTINCT Industry) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"How",
"many",
"different",
"industries",
"are",
"the",
"companies",
"in",
"?"
] |
company_office | Count the number of distinct company industries. | SELECT count(DISTINCT Industry) FROM Companies | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Count",
"the",
"number",
"of",
"distinct",
"company",
"industries",
"."
] |
company_office | List the names of buildings in descending order of building height. | SELECT name FROM buildings ORDER BY Height DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"names",
"of",
"buildings",
"in",
"descending",
"order",
"of",
"building",
"height",
"."
] |
company_office | What are the names of buildings sorted in descending order of building height? | SELECT name FROM buildings ORDER BY Height DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"What",
"are",
"the",
"names",
"of",
"buildings",
"sorted",
"in",
"descending",
"order",
"of",
"building",
"height",
"?"
] |
company_office | Find the stories of the building with the largest height. | SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Find",
"the",
"stories",
"of",
"the",
"building",
"with",
"the",
"largest",
"height",
"."
] |
company_office | What is the stories of highest building? | SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"What",
"is",
"the",
"stories",
"of",
"highest",
"building",
"?"
] |
company_office | List the name of a building along with the name of a company whose office is in the building. | SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"name",
"of",
"a",
"building",
"along",
"with",
"the",
"name",
"of",
"a",
"company",
"whose",
"office",
"is",
"in",
"the",
"building",
"."
] |
company_office | For each company, return the company name and the name of the building its office is located in. | SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"For",
"each",
"company",
",",
"return",
"the",
"company",
"name",
"and",
"the",
"name",
"of",
"the",
"building",
"its",
"office",
"is",
"located",
"in",
"."
] |
company_office | Show the names of the buildings that have more than one company offices. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Show",
"the",
"names",
"of",
"the",
"buildings",
"that",
"have",
"more",
"than",
"one",
"company",
"offices",
"."
] |
company_office | Which buildings have more than one company offices? Give me the building names. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
"buildings",
"have",
"more",
"than",
"one",
"company",
"offices",
"?",
"Give",
"me",
"the",
"building",
"names",
"."
] |
company_office | Show the name of the building that has the most company offices. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Show",
"the",
"name",
"of",
"the",
"building",
"that",
"has",
"the",
"most",
"company",
"offices",
"."
] |
company_office | Which building has the largest number of company offices? Give me the building name. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
"building",
"has",
"the",
"largest",
"number",
"of",
"company",
"offices",
"?",
"Give",
"me",
"the",
"building",
"name",
"."
] |
company_office | Please show the names of the buildings whose status is "on-hold", in ascending order of stories. | SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Please",
"show",
"the",
"names",
"of",
"the",
"buildings",
"whose",
"status",
"is",
"``",
"on-hold",
"''",
",",
"in",
"ascending",
"order",
"of",
"stories",
"."
] |
company_office | Find the names of the buildings in "on-hold" status, and sort them in ascending order of building stories. | SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Find",
"the",
"names",
"of",
"the",
"buildings",
"in",
"``",
"on-hold",
"''",
"status",
",",
"and",
"sort",
"them",
"in",
"ascending",
"order",
"of",
"building",
"stories",
"."
] |
company_office | Please show each industry and the corresponding number of companies in that industry. | SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Please",
"show",
"each",
"industry",
"and",
"the",
"corresponding",
"number",
"of",
"companies",
"in",
"that",
"industry",
"."
] |
company_office | Whah are the name of each industry and the number of companies in that industry? | SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Whah",
"are",
"the",
"name",
"of",
"each",
"industry",
"and",
"the",
"number",
"of",
"companies",
"in",
"that",
"industry",
"?"
] |
company_office | Please show the industries of companies in descending order of the number of companies. | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Please",
"show",
"the",
"industries",
"of",
"companies",
"in",
"descending",
"order",
"of",
"the",
"number",
"of",
"companies",
"."
] |
company_office | Sort all the industries in descending order of the count of companies in each industry | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Sort",
"all",
"the",
"industries",
"in",
"descending",
"order",
"of",
"the",
"count",
"of",
"companies",
"in",
"each",
"industry"
] |
company_office | List the industry shared by the most companies. | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"industry",
"shared",
"by",
"the",
"most",
"companies",
"."
] |
company_office | Which industry has the most companies? | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
"industry",
"has",
"the",
"most",
"companies",
"?"
] |
company_office | List the names of buildings that have no company office. | SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"List",
"the",
"names",
"of",
"buildings",
"that",
"have",
"no",
"company",
"office",
"."
] |
company_office | Which buildings do not have any company office? Give me the building names. | SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
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"do",
"not",
"have",
"any",
"company",
"office",
"?",
"Give",
"me",
"the",
"building",
"names",
"."
] |
company_office | Show the industries shared by companies whose headquarters are "USA" and companies whose headquarters are "China". | SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Show",
"the",
"industries",
"shared",
"by",
"companies",
"whose",
"headquarters",
"are",
"``",
"USA",
"''",
"and",
"companies",
"whose",
"headquarters",
"are",
"``",
"China",
"''",
"."
] |
company_office | Which industries have both companies with headquarter in "USA" and companies with headquarter in "China"? | SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
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"have",
"both",
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"with",
"headquarter",
"in",
"``",
"USA",
"''",
"and",
"companies",
"with",
"headquarter",
"in",
"``",
"China",
"''",
"?"
] |
company_office | Find the number of companies whose industry is "Banking" or "Conglomerate", | SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Find",
"the",
"number",
"of",
"companies",
"whose",
"industry",
"is",
"``",
"Banking",
"''",
"or",
"``",
"Conglomerate",
"''",
","
] |
company_office | How many companies are in either "Banking" industry or "Conglomerate" industry? | SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate" | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"How",
"many",
"companies",
"are",
"in",
"either",
"``",
"Banking",
"''",
"industry",
"or",
"``",
"Conglomerate",
"''",
"industry",
"?"
] |
company_office | Show the headquarters shared by more than two companies. | SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Show",
"the",
"headquarters",
"shared",
"by",
"more",
"than",
"two",
"companies",
"."
] |
company_office | Which headquarter locations are used by more than 2 companies? | SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 | buildings: id (number), name (text), City (text), Height (number), Stories (number), Status (text) | Companies: id (number), name (text), Headquarters (text), Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value_billion (text) | Office_locations: building_id (number),... | [
"Which",
"headquarter",
"locations",
"are",
"used",
"by",
"more",
"than",
"2",
"companies",
"?"
] |
solvency_ii | How many products are there? | SELECT count(*) FROM Products | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"How",
"many",
"products",
"are",
"there",
"?"
] |
solvency_ii | List the name of products in ascending order of price. | SELECT Product_Name FROM Products ORDER BY Product_Price ASC | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"List",
"the",
"name",
"of",
"products",
"in",
"ascending",
"order",
"of",
"price",
"."
] |
solvency_ii | What are the names and type codes of products? | SELECT Product_Name , Product_Type_Code FROM Products | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"What",
"are",
"the",
"names",
"and",
"type",
"codes",
"of",
"products",
"?"
] |
solvency_ii | Show the prices of the products named "Dining" or "Trading Policy". | SELECT Product_Price FROM Products WHERE Product_Name = "Dining" OR Product_Name = "Trading Policy" | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"prices",
"of",
"the",
"products",
"named",
"``",
"Dining",
"''",
"or",
"``",
"Trading",
"Policy",
"''",
"."
] |
solvency_ii | What is the average price for products? | SELECT avg(Product_Price) FROM Products | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"What",
"is",
"the",
"average",
"price",
"for",
"products",
"?"
] |
solvency_ii | What is the name of the product with the highest price? | SELECT Product_Name FROM Products ORDER BY Product_Price DESC LIMIT 1 | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"What",
"is",
"the",
"name",
"of",
"the",
"product",
"with",
"the",
"highest",
"price",
"?"
] |
solvency_ii | Show different type codes of products and the number of products with each type code. | SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"different",
"type",
"codes",
"of",
"products",
"and",
"the",
"number",
"of",
"products",
"with",
"each",
"type",
"code",
"."
] |
solvency_ii | Show the most common type code across products. | SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"most",
"common",
"type",
"code",
"across",
"products",
"."
] |
solvency_ii | Show the product type codes that have at least two products. | SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code HAVING COUNT(*) >= 2 | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"product",
"type",
"codes",
"that",
"have",
"at",
"least",
"two",
"products",
"."
] |
solvency_ii | Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000. | SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000 | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"product",
"type",
"codes",
"that",
"have",
"both",
"products",
"with",
"price",
"higher",
"than",
"4500",
"and",
"products",
"with",
"price",
"lower",
"than",
"3000",
"."
] |
solvency_ii | Show the names of products and the number of events they are in. | SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"names",
"of",
"products",
"and",
"the",
"number",
"of",
"events",
"they",
"are",
"in",
"."
] |
solvency_ii | Show the names of products and the number of events they are in, sorted by the number of events in descending order. | SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"names",
"of",
"products",
"and",
"the",
"number",
"of",
"events",
"they",
"are",
"in",
",",
"sorted",
"by",
"the",
"number",
"of",
"events",
"in",
"descending",
"order",
"."
] |
solvency_ii | Show the names of products that are in at least two events. | SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"names",
"of",
"products",
"that",
"are",
"in",
"at",
"least",
"two",
"events",
"."
] |
solvency_ii | Show the names of products that are in at least two events in ascending alphabetical order of product name. | SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 ORDER BY T1.Product_Name | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"Show",
"the",
"names",
"of",
"products",
"that",
"are",
"in",
"at",
"least",
"two",
"events",
"in",
"ascending",
"alphabetical",
"order",
"of",
"product",
"name",
"."
] |
solvency_ii | List the names of products that are not in any event. | SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events) | Addresses: Address_ID (number), address_details (text) | Locations: Location_ID (number), Other_Details (text) | Products: Product_ID (number), Product_Type_Code (text), Product_Name (text), Product_Price (number) | Parties: Party_ID (number), Party_Details (text) | Assets: Asset_ID (number), Other_Details (text) | Cha... | [
"List",
"the",
"names",
"of",
"products",
"that",
"are",
"not",
"in",
"any",
"event",
"."
] |
entertainment_awards | How many artworks are there? | SELECT count(*) FROM artwork | festival_detail: Festival_ID (number), Festival_Name (text), Chair_Name (text), Location (text), Year (number), Num_of_Audience (number) | artwork: Artwork_ID (number), Type (text), Name (text) | nomination: Artwork_ID (number), Festival_ID (number), Result (text) | [
"How",
"many",
"artworks",
"are",
"there",
"?"
] |
entertainment_awards | List the name of artworks in ascending alphabetical order. | SELECT Name FROM artwork ORDER BY Name ASC | festival_detail: Festival_ID (number), Festival_Name (text), Chair_Name (text), Location (text), Year (number), Num_of_Audience (number) | artwork: Artwork_ID (number), Type (text), Name (text) | nomination: Artwork_ID (number), Festival_ID (number), Result (text) | [
"List",
"the",
"name",
"of",
"artworks",
"in",
"ascending",
"alphabetical",
"order",
"."
] |
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