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@@ -72,7 +72,7 @@ Negatives for SNLI and MultiNLI are randomly sampled.
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  ## Evaluation
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- ### Table 1: Massive Text Embedding Benchmark [MTEB](https://arxiv.org/abs/2210.07316)
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  | MTEB | Avg. | Class. | Clust. | PairClass. | Rerank. | Retr. | STS | Summ. |
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  |-----------------------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------|
@@ -98,7 +98,7 @@ Negatives for SNLI and MultiNLI are randomly sampled.
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  | Udever-bloom-7b1 | 60.63 | 72.13| 40.81| 85.40| 55.91| 49.34| 83.01| 30.97 |
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- ### Table 2: [CodeSearchNet](https://arxiv.org/abs/1909.09436)
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  | CodeSearchNet | Go | Ruby | Python | Java | JS | PHP | Avg. |
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  |-|-|-|-|-|-|-|-|
 
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  ## Evaluation
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+ ### Table 1: Massive Text Embedding Benchmark [MTEB](https://huggingface.co/spaces/mteb/leaderboard)
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  | MTEB | Avg. | Class. | Clust. | PairClass. | Rerank. | Retr. | STS | Summ. |
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  |-----------------------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------|
 
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  | Udever-bloom-7b1 | 60.63 | 72.13| 40.81| 85.40| 55.91| 49.34| 83.01| 30.97 |
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+ ### Table 2: [CodeSearchNet](https://github.com/github/CodeSearchNet)
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  | CodeSearchNet | Go | Ruby | Python | Java | JS | PHP | Avg. |
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  |-|-|-|-|-|-|-|-|