rlhn/

hn-remove-100K

	Dataset Card for HN-Remove 100K




	
	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 (100K 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 fine-tune… See the full description on the dataset page: https://huggingface.co/datasets/rlhn/hn-remove-100K.