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README.md
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@@ -91,6 +91,7 @@ Our model, **telepix/PIXIE-Rune-Preview**, achieves strong performance on a wide
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| BAAI/bge-m3 | 568M | 0.5318 | 0.5078 | 0.5231 | 0.5389 | 0.5573 |
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| dragonekue/BGE-m3-ko | 568M | 0.5307 | 0.5125 | 0.5174 | 0.5362 | 0.5566 |
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| nlpai-lab/KURE-v1 | 568M | 0.5272 | 0.5017 | 0.5171 | 0.5353 | 0.5548 |
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Descriptions of the benchmark datasets used for evaluation are as follows:
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- **ArguAna**
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| BAAI/bge-m3 | 568M | 0.5318 | 0.5078 | 0.5231 | 0.5389 | 0.5573 |
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| 92 |
| dragonekue/BGE-m3-ko | 568M | 0.5307 | 0.5125 | 0.5174 | 0.5362 | 0.5566 |
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| nlpai-lab/KURE-v1 | 568M | 0.5272 | 0.5017 | 0.5171 | 0.5353 | 0.5548 |
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| jinaai/jina-embeddings-v3 | 572M | 0.4482 | 0.4116 | 0.4379 | 0.4573 | 0.4861 |
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Descriptions of the benchmark datasets used for evaluation are as follows:
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- **ArguAna**
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