Dataset · Hugging Face
zhengyijia142/SearchR1_AutoRefine_reasoning_steps_e5-base-v2
This dataset provides training trajectories constructed using Search-R1 and AutoRefine, with e5-base-v2 as the retriever. These trajectories are used to finetune LatentRAG. For usage instructions, please refer to the GitHub repository. For more details about LatentRAG, please refer to our paper.
| Author / organization | zhengyijia142 |
|---|---|
| License (as declared) | mit |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 October 2026 |
| Last updated at source | 17 October 2026 |
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- 17 Oct 2026 Description: none → This dataset provides training trajectories constructed using Search-R1 and AutoRefine, with e5-base-v2 as the retriever. These trajectories are used to finetune LatentRAG. For usage instructions, please refer to the GitHub repository. For
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