osunlp/QUEST-SFT-Data-Objective
QUEST SFT Data (Objective) Project Page | Paper | GitHub Objective-style supervised fine-tuning trajectories for QUEST (tool-using assistant format). This dataset is part of the QUEST family, designed to train deep research agents with fully synthetic tasks. Split: train Columns: messages (list[{role, content}]) Load from datasets import load_dataset ds = load_dataset("osunlp/QUEST-SFT-Data-Objective", split="train", streaming=True) row = next(iter(ds))… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-SFT-Data-Objective.
| Author / organization | osunlp |
|---|---|
| License (as declared) | mit |
| Downloads | 205 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 8 May 2026 |
| Last updated at source | 27 May 2026 |
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