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You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
null
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
MIN
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
MIN
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
MAX
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
null
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
MIN
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
SELECT
You are given: - A natural language question - An SQL query - A table schema (column names in "header", column types in "types", and rows in "rows") Your task: 1. Look at the question and decide which SQL aggregation operator (COUNT, MAX, MIN, AVG, SUM, SELECT) is implied. Treat queries without an aggregation fun...
SUM
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