MatanBT/retrieval-datasets-similarities
Summary Caching the similarity results of different embedding-based retrieval, on different dataset; that is, the similarities between each query and all the corpus passages. Method. We collect these results in JSON files, containing the similarities similarities that were collected running evaluation with (BEIR), on the specific model and data. Full list below. Usage. This caching can be used to evaluate the benign accuracy of the models, and---more importantly---to explore… See the full description on the dataset page: https://huggingface.co/datasets/MatanBT/retrieval-datasets-similarities.
| Author / organization | MatanBT |
|---|---|
| Downloads | 593 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 August 2024 |
| Last updated at source | 7 July 2025 |
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- 16 Oct 2026 Description: Summary Caching the similarity results of different embedding-based retrieval, on different dataset; that is, the similarities between each query and all the corpus passages. Method. We collect these results in JSON files, containing the si → Summary Caching the similarity results of different embedding-based retrieval, on different dataset; that is, the similarities between each query and all the corpus passages. Method. We collect these results in JSON files, containing the si
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