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AbedGarra/msmarco-indexes

MS MARCO Dense Retrieval Indexes Pre-built FAISS indexes of the MS MARCO corpus using 53 embedding models. (As part of our paper, TellTail) This repository is intended to make it easy to run retrieval experiments across a large collection of embedding models without rebuilding the MS MARCO index for every model. Each model is associated with two files: <model>.index — the FAISS retrieval index <model>_docids.npy — mapping from FAISS index positions to MS MARCO document IDs All… See the full description on the dataset page: https://huggingface.co/datasets/AbedGarra/msmarco-indexes.

Author / organizationAbedGarra
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Created30 September 2026
Last updated at source6 October 2026
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