webis/rank-distillm

This dataset contains the training run files from the paper Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking for training queries from MS MARCO passage re-ranked by RankZephyr, a large monoELECTRA model or a large Set-Encoder model. These run files can be used to distill smaller and more efficient models while upholding effectiveness. The files __colbert__msmarco-passage-train-judged.parquet and __bm25__msmarco-passage-train-judged.parquet… See the full description on the dataset page: https://huggingface.co/datasets/webis/rank-distillm.

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