| language: | |
| - en | |
| license: cc-by-4.0 | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - text-generation | |
| - table-question-answering | |
| pretty_name: SQL Create Context (mini) | |
| tags: | |
| - sql | |
| - text-to-sql | |
| - fine-tuning | |
| - qwen3.5 | |
| # SQL Create Context (mini) — 300 train / 200 eval | |
| A curated, deduplicated 500-row split of | |
| [`b-mc2/sql-create-context`](https://huggingface.co/datasets/b-mc2/sql-create-context) | |
| used to LoRA-fine-tune Qwen3.5-2B for Text-to-SQL. | |
| ## Schema | |
| Each row has three string fields: | |
| | field | description | | |
| |------------|------------| | |
| | `schema` | A `CREATE TABLE ...` statement (SQLite-flavoured) | | |
| | `question` | Natural-language question | | |
| | `answer` | Gold SQL query | | |
| ## Splits | |
| | split | rows | | |
| |-------|------| | |
| | train | 300 | | |
| | eval | 200 | | |
| ## Provenance | |
| Filtered to schemas ≤ 1500 chars and deduplicated on the full triple. Sampled | |
| with `seed=42` from the source train split. No examples leak between splits. | |
| ## Intended use | |
| This split is intentionally small (500 rows) for parameter-efficient | |
| fine-tuning on a single GPU. It is not a capability benchmark; use the | |
| upstream Spider/BIRD datasets for that. | |
| ## Licensing | |
| Inherits the source dataset's CC-BY-4.0 license. | |