Sentence Similarity
Safetensors
Japanese
RAGatouille
bert
ColBERT
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@@ -69,9 +69,9 @@ Worth noting: JaColBERT is evaluated out-of-domain on all three datasets, wherea
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  | | JSQuAD | | | | MIRACL | | | | MrTyDi | | | | Average | | |
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  | ------------------------------------------------------------------------ | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ |
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  | | R@1 | R@5 | R@10 | | R@3 | R@5 | R@10 | | R@3 | R@5 | R@10 | | R@\{1\|3\} | R@5 | R@10 |
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- | JaColBERT | **0.906*** | **0.968*** | 0.978* | | 0.464* | 0.546* | 0.645* | | 0.744* | 0.781* | 0.821* | | **0.705*** | 0.765* | 0.813* |
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- | m-e5-large (in-domain) | | | | | | | | | | | | | | | |
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- | m-e5-base (in-domain) | *0.838* | *0.955* | 0.973 | | **0.482** | **0.553** | 0.632 | | **0.777** | **0.815** | 0.857 | | 0.699 | **0.775** | 0.820 |
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  | m-e5-small (in-domain) | *0.840* | *0.954* | 0.973 | | 0.464 | 0.540 | 0.640 | | 0.767 | 0.794 | 0.844 | | 0.690 | 0.763 | 0.819 |
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  | GLuCoSE | 0.645 | 0.846 | 0.897 | | 0.369 | 0.432 | 0.515 | | *0.617* | *0.670* | 0.735 | | 0.544 | 0.649 | 0.716 |
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  | sentence-bert-base-ja-v2 | 0.654 | 0.863 | 0.914 | | 0.172 | 0.224 | 0.338 | | 0.488 | 0.549 | 0.611 | | 0.435 | 0.545 | 0.621 |
 
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  | | JSQuAD | | | | MIRACL | | | | MrTyDi | | | | Average | | |
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  | ------------------------------------------------------------------------ | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ | ----------------------- | ----------------------- | -------------------- | ------ |
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  | | R@1 | R@5 | R@10 | | R@3 | R@5 | R@10 | | R@3 | R@5 | R@10 | | R@\{1\|3\} | R@5 | R@10 |
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+ | JaColBERT | **0.906*** | **0.968*** | 0.978* | | 0.464* | 0.546* | 0.645* | | 0.744* | 0.781* | 0.821* | | 0.705* | 0.765* | 0.813* |
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+ | m-e5-large (in-domain) | 0.865 | 0.966 | 0.977 | | **0.522** | **0.600** | **0.697** | | **0.813** | **0.856** | **0.893** | | **0.730** | **0.807** | **0.856** |
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+ | m-e5-base (in-domain) | *0.838* | *0.955* | 0.973 | | 0.482 | 0.553 | 0.632 | | 0.777 | 0.815 | 0.857 | | 0.699 | 0.775 | 0.820 |
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  | m-e5-small (in-domain) | *0.840* | *0.954* | 0.973 | | 0.464 | 0.540 | 0.640 | | 0.767 | 0.794 | 0.844 | | 0.690 | 0.763 | 0.819 |
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  | GLuCoSE | 0.645 | 0.846 | 0.897 | | 0.369 | 0.432 | 0.515 | | *0.617* | *0.670* | 0.735 | | 0.544 | 0.649 | 0.716 |
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  | sentence-bert-base-ja-v2 | 0.654 | 0.863 | 0.914 | | 0.172 | 0.224 | 0.338 | | 0.488 | 0.549 | 0.611 | | 0.435 | 0.545 | 0.621 |