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@@ -52,3 +52,9 @@ configs:
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  - split: train
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  path: relevance/train-*
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  - split: train
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  path: relevance/train-*
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+ # NanoBEIR SCIDOCS with BM25 rankings
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+ This dataset is an updated variant of [NanoSCIDOCS](https://huggingface.co/datasets/zeta-alpha-ai/NanoSCIDOCS), which is a subset of the SCIDOCS dataset from the Benchmark for Information Retrieval (BEIR).
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+ SCIDOCS was created as a subset of the rather large BEIR, designed to be more efficient to run. This dataset adds a `bm25-ranked-ids` column to the `relevance` subset, which contains a ranking of every single passage in the corpus to the query.
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+ This dataset is used in Sentence Transformers for evaluating CrossEncoder (i.e. reranker) models on NanoBEIR by reranking the top *k* results from BM25.