Dataset · Hugging Face
zhengyijia142/SearchR1_AutoRefine_reasoning_steps_F2LLM-v2-330M
This dataset provides training trajectories constructed using Search-R1 and AutoRefine, with F2LLM-v2-330M 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 F2LLM-v2-330M as the retriever. These trajectories are used to finetune LatentRAG. For usage instructions, please refer to the GitHub repository. F
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