NeuralPGRank/scidocs-hard-negatives

Dataset Card Dataset Details This dataset contains a set of candidate documents for second-stage re-ranking on scidocs (test split in BEIR). Those candidate documents are composed of hard negatives mined from gtr-t5-xl as Stage 1 ranker and ground-truth documents that are known to be relevant to the query. This is a release from our paper Policy-Gradient Training of Language Models for Ranking, so please cite it if using this dataset. Direct Use… See the full description on the dataset page: https://huggingface.co/datasets/NeuralPGRank/scidocs-hard-negatives.