| | --- |
| | 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 WikiSQL: 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 WikiSQL 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. |
| |
|
