---
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.