Datasetpublic

RohithMidigudla/gemma-health-telugu-sft

Gemma Health Telugu SFT Rows: 8140 Each row contains: messages: TRL/Unsloth conversational SFT format. text: plain serialized chat text fallback. source, variant, prompt, response: traceability fields. from datasets import load_dataset dataset = load_dataset("RohithMidigudla/gemma-health-telugu-sft", split="train", streaming=True)

sourceHugging Faceupdated 5mo agoView on Hugging Face

0likes14downloads

settings

This repository belongs to RohithMidigudla on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

namegemma-health-telugu-sft

visibilitypublic

licencenot set

gatedno

ownerRohithMidigudla

Account settings