| license: cc-by-nc-sa-4.0 | |
| configs: | |
| - config_name: aug | |
| data_files: | |
| - split: train | |
| path: data/aug/*.parquet | |
| - config_name: gen | |
| data_files: | |
| - split: train | |
| path: data/gen/*.parquet | |
| # DataFlow-SQL-150k | |
| DataFlow-SQL-150k is a text-to-SQL dataset containing **150,764 examples** across two subsets: **Aug** and **Gen**. Both subsets provide natural-language questions, SQL queries, and generated reasoning text for text-to-SQL research. | |
| ## Subsets | |
| | Subset | Description | Examples | | |
| |---|---|---:| | |
| | **Aug** | SQL-based data augmentation on Spider, BIRD, and EHRSQL. | 75,386 | | |
| | **Gen** | Generated text-to-SQL examples with SQL complexity and question style labels. | 75,378 | | |
| | **Total** | | **150,764** | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| repo_id = "debugger123/DataFlow-SQL-150k" | |
| aug = load_dataset(repo_id, "aug", split="train") | |
| gen = load_dataset(repo_id, "gen", split="train") | |
| ``` | |
| The SQL and reasoning fields are `SQL` / `cot_reasoning` in Aug and `sql` / `cot` in Gen. Original field names are preserved. | |
| ## License | |
| [CC-BY-NC-SA-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). | |