| dataset_info: | |
| features: | |
| - name: query_id | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| - name: positive_passages | |
| list: | |
| - name: docid | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: negative_passages | |
| list: | |
| - name: docid | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: subset | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1778484241 | |
| num_examples: 96167 | |
| download_size: 1026965735 | |
| dataset_size: 1778484241 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - text-ranking | |
| This dataset contains data used in the paper [Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval](https://huggingface.co/papers/2505.16967). It focuses on improving the quality of training data for information retrieval models by identifying and relabeling false negatives using large language models. | |
| Github repository: https://github.com/FlagOpen/rlhn |