Datasets:

Vicen-te
/

sql-create-context-mini

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 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.