Yuqi-Zhou/LRAT-Train
LRAT Training Dataset This dataset contains trajectory-derived retrieval supervision used in LRAT (Learning to Retrieve from Agent Trajectories). The dataset is designed for training retrievers for agentic search. Instead of relying on human click logs, it is built from deep research agent trajectories that record intermediate search queries, browsing actions, and post-browse reasoning traces. Dataset Summary LRAT formalizes a simple idea: when search is… See the full description on the dataset page: https://huggingface.co/datasets/Yuqi-Zhou/LRAT-Train.
| Author / organization | Yuqi-Zhou |
|---|---|
| Downloads | 143 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 24 March 2026 |
| Last updated at source | 8 April 2026 |
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Connected in the knowledge graph
- DataScience-UIBK/Agent-uibk-v1Model · used to train
- Learning to Retrieve from Agent TrajectoriesPaper · cites
Recent changes
- 16 Oct 2026 Description: LRAT Training Dataset This dataset contains trajectory-derived retrieval supervision used in LRAT (Learning to Retrieve from Agent Trajectories). The dataset is designed for training retrievers for agentic search. Instead of relying on huma → LRAT Training Dataset This dataset contains trajectory-derived retrieval supervision used in LRAT (Learning to Retrieve from Agent Trajectories). The dataset is designed for training retrievers for agentic search. Instead of relying on huma
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