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metadata
license: apache-2.0
dataset_info:
  features:
    - name: question
      dtype: string
    - name: table_info
      dtype: string
    - name: sql_query
      dtype: string
  splits:
    - name: train
      num_bytes: 847766
      num_examples: 3473
  download_size: 391731
  dataset_size: 847766
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

NSText2SQL Dataset (Reformatted for Fine Tuned Generative Models)

This is the exact same dataset as NSText2SQL: https://huggingface.co/datasets/NumbersStation/NSText2SQL, but with the data reformatted to allow direct use to fine tune generative models. The original license and credits for the original dataset remain in place.

Specifically, the changes from standard NSText2SQL are:

  1. Removed non-english questions

  2. Removed all rows with more than one input table, simplifying the problem for smaller models.

  3. Updated SQL queries in the dataset to prefer using LIKE statements for string matches, to allow better partial matching of results in chat scenarios where a user may not fully specify all data.

  4. Removed syntactically invalid SQL. Specifically, we created in-memory (SQLite) tables using the SQL DESCRIBE of the tables, then ran the SQL query against these in-memory tables. Any SQL queries that threw exceptions for any reason were discarded, and the rest that ran without exceptions were included in this dataset.