hkust-nlp/deita-10k-v0
Dataset Card for Deita 10K V0 GitHub | Paper Deita is an open-sourced project designed to facilitate Automatic Data Selection for instruction tuning in Large Language Models (LLMs). This dataset includes 10k of lightweight, high-quality alignment SFT data, mainly automatically selected from the following datasets: ShareGPT (Apache 2.0 listed, no official repo found): Use the 58 K ShareGPT dataset for selection. UltraChat (MIT): Sample 105 K UltraChat dataset for selection.… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/deita-10k-v0.
| Author / organization | hkust-nlp |
|---|---|
| License (as declared) | mit |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 30 |
| Created | 23 October 2023 |
| Last updated at source | 31 December 2023 |
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153 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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