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Change bm25 to bm25s #16

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -113,7 +113,7 @@ There are two ways to load the knowledge base data:

If you are running eval, you may install the following packages:
```bash
pip install llm2vec gritlm bm25
pip install llm2vec gritlm bm25s
```

- Our evaluation requires embed the node documents into `candidate_emb_dict.pt`, which is a dictionary `node_id -> torch.Tensor`. Query embeddings will be automatically generated if not available. You can either run the following the python script to download query embeddings and document embeddings generated by `text-embedding-ada-002`. (We provide them so you can run on our benchmark right away.)
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