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@@ -14,7 +14,7 @@ pipeline_tag: sentence-similarity
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  # MTEB(por) — Random Baseline Encoder
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  > ⚠️ **This is NOT a trained model.** It is the **chance-level floor** reference for the
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- > [MTEB(por, v2)](https://huggingface.co/MTEB-BR) Brazilian-Portuguese embedding benchmark.
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  It maps each input text to a deterministic, L2-normalized **random** vector (seeded by a hash of
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  the text). It carries **zero semantic signal** — two textually-different but semantically-similar
@@ -125,5 +125,5 @@ classification (chance ≈ 1/num-classes); real models score well above it on ev
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  ## Citation
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- Part of the **MTEB(por)** benchmark by the `MTEB-BR` project. The floor is computed with the
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  identical pinned-SHA tasks used for every benchmarked model.
 
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  # MTEB(por) — Random Baseline Encoder
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  > ⚠️ **This is NOT a trained model.** It is the **chance-level floor** reference for the
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+ > [MTEB-BR](https://huggingface.co/MTEB-BR) Brazilian-Portuguese embedding benchmark.
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  It maps each input text to a deterministic, L2-normalized **random** vector (seeded by a hash of
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  the text). It carries **zero semantic signal** — two textually-different but semantically-similar
 
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  ## Citation
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+ Part of the MTEB-BR benchmark project. The floor is computed with the
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  identical pinned-SHA tasks used for every benchmarked model.