llmsql-bench/llmsql-2.0-fine-tune-ready
LLMSQL Benchmark 2.0 (Finetune-Ready) This benchmark is designed to evaluate text-to-SQL models. For usage of this benchmark see llmsql-bench/llmsql-2.0. This repository contains a finetune-ready version of the LLMSQL benchmark: LLMSQL 2.0 on Hugging Face. The dataset is structured in a messages format suitable for instruction-tuned models, where each example has a messages field. This field is a list of dictionaries with: "role": "user" — the input question or prompt… See the full description on the dataset page: https://huggingface.co/datasets/llmsql-bench/llmsql-2.0-fine-tune-ready.
This repository belongs to llmsql-bench on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.