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README.md
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dataset_info:
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features:
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- name: id
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以下はさまざまなモデルの評価結果です。評価は nDCG@10 以外にも、参考まで MRR@10 の数値も掲載しています。
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####
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| model_names | ndcg@10 | mrr@10 |
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| :------------------------------------------------------------------------------ | ------: | -----: |
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| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.554 | 0.7988 |
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| [multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) | 0.4917 | 0.7291 |
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| [GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.3085 | 0.5179 |
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| [text-embedding-3-small](https://platform.openai.com/docs/guides/embeddings) | 0.3881 | 0.6107 |
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#### ColBERT モデル
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| [bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base) | 0.2445 | 0.4378 |
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| [bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large) | 0.4718 | 0.7108 |
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| [cross-encoder-mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1) | 0.5588 | 0.8107 |
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#### その他モデル
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dataset_info:
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features:
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- name: id
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以下はさまざまなモデルの評価結果です。評価は nDCG@10 以外にも、参考まで MRR@10 の数値も掲載しています。
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#### 密な文ベクトルモデル
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| model_names | ndcg@10 | mrr@10 |
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| :------------------------------------------------------------------------------ | ------: | -----: |
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| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.554 | 0.7988 |
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| [multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) | 0.4917 | 0.7291 |
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| [GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.3085 | 0.5179 |
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| [GLuCoSE-base-ja-v2](https://huggingface.co/pkshatech/GLuCoSE-base-ja-v2) | 0.606 | 0.8359 |
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| [text-embedding-3-small](https://platform.openai.com/docs/guides/embeddings) | 0.3881 | 0.6107 |
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| [ruri-large](https://huggingface.co/cl-nagoya/ruri-large) | 0.6287 | 0.8418 |
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| [ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.5833 | 0.8093 |
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| [ruri-small](https://huggingface.co/cl-nagoya/ruri-small) | 0.5359 | 0.7661 |
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#### ColBERT モデル
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| [bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base) | 0.2445 | 0.4378 |
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| [bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large) | 0.4718 | 0.7108 |
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| [cross-encoder-mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1) | 0.5588 | 0.8107 |
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| [ruri-reranker-small](https://huggingface.co/cl-nagoya/ruri-reranker-small) | 0.6453 | 0.8637 |
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| [ruri-reranker-base](https://huggingface.co/cl-nagoya/ruri-reranker-base) | 0.7429 | 0.9113 |
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| [ruri-reranker-large](https://huggingface.co/cl-nagoya/ruri-reranker-large) | 0.7712 | 0.9098 |
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#### その他モデル
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