osunlp/QUEST-SFT-Data-Open-ended
QUEST SFT Data (Open-ended) Project Page | Paper | GitHub Open-ended supervised fine-tuning trajectories for QUEST (tool-using assistant format). Split: train. Columns: messages (list[{role, content}]). Load from datasets import load_dataset ds = load_dataset("osunlp/QUEST-SFT-Data-Open-ended", split="train", streaming=True) row = next(iter(ds)) print(row.keys()) QUEST Family Type Resources 35B checkpoints RL, MT+SFT, MT, SFT 30B… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-SFT-Data-Open-ended.
| Author / organization | osunlp |
|---|---|
| License (as declared) | mit |
| Downloads | 138 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 May 2026 |
| Last updated at source | 27 May 2026 |
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- 17 Oct 2026 Description: QUEST SFT Data (Open-ended) Project Page | Paper | GitHub Open-ended supervised fine-tuning trajectories for QUEST (tool-using assistant format). Split: train. Columns: messages (list[{role, content}]). Load from datasets import load_datase → QUEST SFT Data (Open-ended) Project Page | Paper | GitHub Open-ended supervised fine-tuning trajectories for QUEST (tool-using assistant format). Split: train. Columns: messages (list[{role, content}]). Load from datasets import load_datase
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