hotchpotch/mmarco-hard-negatives-reranker-filtered

mMARCO Reranker-Filtered Hard Negatives (Multilingual) Overview This dataset is built from mMARCO (multilingual MS MARCO) triplets for each language subset. For each (query, positive), hard negatives are bundled and then filtered using cross-encoder re-scoring. The goal is to remove negatives that are too strong or incorrect for training. The same procedure is applied to all language subsets. The dataset is published as mmarco-hard-negatives-reranker-filtered with… See the full description on the dataset page: https://huggingface.co/datasets/hotchpotch/mmarco-hard-negatives-reranker-filtered.