rlhn/hn-remove-680K
Dataset Card for HN-Remove 680K Dataset Description Repository | Paper | ArXiv RLHN is a cascading LLM framework designed to accurately relabel hard negatives in existing IR/RAG training datasets, such as MS MARCO and HotpotQA. This Tevatron dataset (680K training pairs) contains the queries, positives, hard negatives (with dropped false negatives) for 7 datasets in the BGE training collection. This repository contains the training pairs that can be used to… See the full description on the dataset page: https://huggingface.co/datasets/rlhn/hn-remove-680K.
| Author / organization | rlhn |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 186 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 April 2025 |
| Last updated at source | 27 May 2025 |
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- 17 Oct 2026 Description: Dataset Card for HN-Remove 680K Dataset Description Repository | Paper | ArXiv RLHN is a cascading LLM framework designed to accurately relabel hard negatives in existing IR/RAG training datasets, such as MS MARCO and HotpotQA. This Tevatro → Dataset Card for HN-Remove 680K Dataset Description Repository | Paper | ArXiv RLHN is a cascading LLM framework designed to accurately relabel hard negatives in existing IR/RAG training datasets, such as MS MARCO and HotpotQA. This Tevatro
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