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README.md

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+---
+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.

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