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README.md
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| | | | JQaRa | | |
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| ------------------- | --- | --------- | --------- | --------- | --------- |
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| | | NDCG@10 | MRR@10 | NDCG@100 | MRR@100 |
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| splade-japanese-v3 | | 0.505 | 0.772 | 0.7 | 0.775 |
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| JaColBERTv2 | | 0.585 | 0.836 | 0.753 | 0.838 |
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| JaColBERT | | 0.549 | 0.811 | 0.730 | 0.814 |
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| bge-m3+all | | 0.576 | 0.818 | 0.745 | 0.820 |
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| bg3-m3+dense | | 0.539 | 0.785 | 0.721 | 0.788 |
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| m-e5-large | | 0.554 | 0.799 | 0.731 | 0.801 |
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| m-e5-base | | 0.471 | 0.727 | 0.673 | 0.731 |
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| m-e5-small | | 0.492 | 0.729 | 0.689 | 0.733 |
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| GLuCoSE | | 0.308 | 0.518 | 0.564 | 0.527 |
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| sup-simcse-ja-base | | 0.324 | 0.541 | 0.572 | 0.550 |
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| sup-simcse-ja-large | | 0.356 | 0.575 | 0.596 | 0.583 |
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| fio-base-v0.1 | | 0.372 | 0.616 | 0.608 | 0.622 |
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## Evaluation on [MIRACL japanese](https://huggingface.co/datasets/miracl/miracl)
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These models don't train on the MIRACL training data.
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*'splade-japanese-v2-doc' model does not require query encoder during inference.
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下のコードを実行すれば，単語拡張や重み付けの確認ができます．
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## Evaluation on [MIRACL japanese](https://huggingface.co/datasets/miracl/miracl)
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These models don't train on the MIRACL training data.
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*'splade-japanese-v2-doc' model does not require query encoder during inference.
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## Evaluation on [hotchpotch/JQaRA](https://huggingface.co/datasets/hotchpotch/JQaRA)
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| | | | JQaRa | | |
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| ------------------- | --- | --------- | --------- | --------- | --------- |
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| | | NDCG@10 | MRR@10 | NDCG@100 | MRR@100 |
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| splade-japanese-v3 | | 0.505 | 0.772 | 0.7 | 0.775 |
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| JaColBERTv2 | | 0.585 | 0.836 | 0.753 | 0.838 |
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| JaColBERT | | 0.549 | 0.811 | 0.730 | 0.814 |
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| bge-m3+all | | 0.576 | 0.818 | 0.745 | 0.820 |
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| bg3-m3+dense | | 0.539 | 0.785 | 0.721 | 0.788 |
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| m-e5-large | | 0.554 | 0.799 | 0.731 | 0.801 |
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| m-e5-base | | 0.471 | 0.727 | 0.673 | 0.731 |
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| m-e5-small | | 0.492 | 0.729 | 0.689 | 0.733 |
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| GLuCoSE | | 0.308 | 0.518 | 0.564 | 0.527 |
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| sup-simcse-ja-base | | 0.324 | 0.541 | 0.572 | 0.550 |
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| sup-simcse-ja-large | | 0.356 | 0.575 | 0.596 | 0.583 |
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| fio-base-v0.1 | | 0.372 | 0.616 | 0.608 | 0.622 |
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下のコードを実行すれば，単語拡張や重み付けの確認ができます．
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