Dataset · Hugging Face

tuskanny/scidocs_colbertv2

Name: scidocs_colbertv2
Creator: tuskanny
Keywords: task_categories:text-retrieval, size_categories:10K<n<100K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, late-interaction, colbert, multivector, beir, scidocs

SCIDOCS, ColBERTv2 Token-level (late-interaction) embeddings of the BEIR SCIDOCS corpus and queries, encoded with ColBERTv2, in the TACHIOM multivector format. Source BEIR SCIDOCS, test (its only split) split. Corpus, queries and qrels were read from the official BEIR files via ir_datasets (beir/scidocs); PyLate only did the encoding 25,657 documents, 1,000 queries, 29,928 qrels Text given to the encoder for each document: title + " " + text (BEIR title and body… See the full description on the dataset page: https://huggingface.co/datasets/tuskanny/scidocs_colbertv2.

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Author / organization	tuskanny
Downloads	6.2K (as reported by Hugging Face)
Likes	0
Created	21 September 2026
Last updated at source	23 September 2026

late-interactioncolbertmultivectorbeirscidocs

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