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@@ -217,6 +217,7 @@ Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQAR
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  |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.1B | 74.3 | 58.1 | 84.6 | **35.3** |
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  |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.1B | 53.3 | 30.8 | 68.6 | 25.2 |
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  |**GLuCoSE v2**| 0.1B | **85.5** | **60.6** | **85.3** | 33.8 |
 
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  Note: Results for OpenAI small embeddings in JQARA and JaCWIR are quoted from the [JQARA](https://huggingface.co/datasets/hotchpotch/JQaRA) and [JaCWIR](https://huggingface.co/datasets/hotchpotch/JCWIR).
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  | Model | Size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | JaCWIR<br>MAP@10 | MLDR<br>nDCG@10 |
@@ -250,6 +251,7 @@ Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
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  |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) |0.1B|71.91|69.82|82.87|75.58|92.91|**54.16**|62.38|
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  |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja)|0.1B|70.44|59.02|78.71|**76.82**|91.90|49.78|**66.39**|
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  |**GLuCoSE v2**|0.1B|**72.22**|**73.36**|**82.96**|74.21|93.01|48.65|62.37|
 
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  Note: Results for OpenAI embeddings and multilingual-e5 models are quoted from the [JMTEB leaderboard](https://github.com/sbintuitions/JMTEB/blob/main/leaderboard.md). Results for ruri are quoted from the [cl-nagoya/ruri-base model card](https://huggingface.co/cl-nagoya/ruri-base/blob/main/README.md).
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  ## Authors
 
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  |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.1B | 74.3 | 58.1 | 84.6 | **35.3** |
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  |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.1B | 53.3 | 30.8 | 68.6 | 25.2 |
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  |**GLuCoSE v2**| 0.1B | **85.5** | **60.6** | **85.3** | 33.8 |
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  Note: Results for OpenAI small embeddings in JQARA and JaCWIR are quoted from the [JQARA](https://huggingface.co/datasets/hotchpotch/JQaRA) and [JaCWIR](https://huggingface.co/datasets/hotchpotch/JCWIR).
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  | Model | Size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | JaCWIR<br>MAP@10 | MLDR<br>nDCG@10 |
 
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  |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) |0.1B|71.91|69.82|82.87|75.58|92.91|**54.16**|62.38|
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  |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja)|0.1B|70.44|59.02|78.71|**76.82**|91.90|49.78|**66.39**|
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  |**GLuCoSE v2**|0.1B|**72.22**|**73.36**|**82.96**|74.21|93.01|48.65|62.37|
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  Note: Results for OpenAI embeddings and multilingual-e5 models are quoted from the [JMTEB leaderboard](https://github.com/sbintuitions/JMTEB/blob/main/leaderboard.md). Results for ruri are quoted from the [cl-nagoya/ruri-base model card](https://huggingface.co/cl-nagoya/ruri-base/blob/main/README.md).
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  ## Authors