Lucas H.T. Okamura

Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders

MTEB-PT is presented, a Portuguese benchmark constructed from a subset of MMTEB, comprising 14 existing datasets across Semantic Textual Similarity (STS), classification, retrieval, and reranking, and shows that language-specific fine-tuning still improves model performance in Portuguese, especially on task types that match the adaptation data most closely.