Datasetpublic

Vicen-te/sql-create-context-mini

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… See the full description on the dataset page: https://huggingface.co/datasets/Vicen-te/sql-create-context-mini.

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face

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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.