JingmingChen/PathRefiner
PathRefiner (DeepRefineTraj) Trajectories DeepRefineTraj is a dataset of process-rich, multi-turn agentic trajectories used to fine-tune deep research agents. Each example pairs a WebShaper question/answer with a full trajectory generated by PathRefiner. The trajectories contain hierarchical planning, plan-guided execution with tool use, checkpoint replanning, and trajectory reflection + rollback before the agent commits to a final answer. Dataset Summary The… See the full description on the dataset page: https://huggingface.co/datasets/JingmingChen/PathRefiner.
| Author / organization | JingmingChen |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 170 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 May 2026 |
| Last updated at source | 7 May 2026 |
Recent changes
- 16 Oct 2026 Description: PathRefiner (DeepRefineTraj) Trajectories DeepRefineTraj is a dataset of process-rich, multi-turn agentic trajectories used to fine-tune deep research agents. Each example pairs a WebShaper question/answer with a full trajectory generated b → PathRefiner (DeepRefineTraj) Trajectories DeepRefineTraj is a dataset of process-rich, multi-turn agentic trajectories used to fine-tune deep research agents. Each example pairs a WebShaper question/answer with a full trajectory generated b
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.