README.md

---
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language:
- en
tags:
- sentence-transformers
size_categories:
- 1K<n<10K
---

# NanoBEIR SciFact with BM25 rankings
This dataset is an updated variant of [NanoSciFact](https://huggingface.co/datasets/zeta-alpha-ai/NanoSciFact), which is a subset of the SciFact dataset from the Benchmark for Information Retrieval (BEIR).
SciFact 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.

This dataset is used in Sentence Transformers for evaluating CrossEncoder (i.e. reranker) models on NanoBEIR by reranking the top *k* results from BM25.