Rebrand headings to MTEB-BR (h1 'MTEB-BR Brazilian Portuguese Leaderboard'; title/desc/card MTEB(por) -> MTEB-BR)

README.md

@@ -1,5 +1,5 @@
 ---
-title: MTEB(por) Leaderboard
+title: MTEB-BR Leaderboard
 emoji: 🏆
 colorFrom: green
 colorTo: yellow
@@ -8,102 +8,73 @@ pinned: true
 license: apache-2.0
 short_description: Massive Text Embedding Benchmark for Brazilian Portuguese
 tags:
-- leaderboard
-- benchmark
-- embeddings
-- portuguese
-- brazilian-portuguese
-- mteb
-- retrieval
-- sentence-transformers
+  - leaderboard
+  - benchmark
+  - embeddings
+  - portuguese
+  - brazilian-portuguese
+  - mteb
+  - retrieval
+  - sentence-transformers
 datasets:
-- MTEB-BR/mteb-pt-results
+  - MTEB-BR/mteb-pt-results
 models:
-- Alibaba-NLP/gte-Qwen2-1.5B-instruct
-- Alibaba-NLP/gte-Qwen2-7B-instruct
-- BAAI/bge-m3
-- BAAI/bge-small-en-v1.5
-- BidirLM/BidirLM-0.6B-Embedding
-- BidirLM/BidirLM-1.7B-Embedding
-- BidirLM/BidirLM-1B-Embedding
-- ICT-TIME-and-Querit/BOOM_4B_v1
-- Linq-AI-Research/Linq-Embed-Mistral
-- MTEB-BR/baseline-random-encoder
-- Mihaiii/Ivysaur
-- Octen/Octen-Embedding-0.6B
-- Octen/Octen-Embedding-8B
-- PORTULAN/albertina-900m-portuguese-ptbr-encoder
-- PORTULAN/serafim-100m-portuguese-pt-sentence-encoder
-- PORTULAN/serafim-100m-portuguese-pt-sentence-encoder-ir
-- PORTULAN/serafim-335m-portuguese-pt-sentence-encoder
-- PORTULAN/serafim-335m-portuguese-pt-sentence-encoder-ir
-- PORTULAN/serafim-900m-portuguese-pt-sentence-encoder
-- PORTULAN/serafim-900m-portuguese-pt-sentence-encoder-ir
-- Qwen/Qwen3-Embedding-0.6B
-- Qwen/Qwen3-Embedding-4B
-- Qwen/Qwen3-Embedding-8B
-- Salesforce/SFR-Embedding-2_R
-- Salesforce/SFR-Embedding-Mistral
-- SamilPwC-AXNode-GenAI/PwC-Embedding_expr
-- Snowflake/snowflake-arctic-embed-l-v2.0
-- avsolatorio/GIST-all-MiniLM-L6-v2
-- avsolatorio/NoInstruct-small-Embedding-v0
-- codefuse-ai/F2LLM-0.6B
-- codefuse-ai/F2LLM-v2-0.6B
-- codefuse-ai/F2LLM-v2-1.7B
-- codefuse-ai/F2LLM-v2-14B
-- codefuse-ai/F2LLM-v2-160M
-- codefuse-ai/F2LLM-v2-330M
-- codefuse-ai/F2LLM-v2-4B
-- codefuse-ai/F2LLM-v2-80M
-- codefuse-ai/F2LLM-v2-8B
-- google/embeddinggemma-300m
-- ibm-granite/granite-embedding-107m-multilingual
-- ibm-granite/granite-embedding-311m-multilingual-r2
-- ibm-granite/granite-embedding-97m-multilingual-r2
-- intfloat/e5-mistral-7b-instruct
-- intfloat/e5-small-v2
-- intfloat/multilingual-e5-base
-- intfloat/multilingual-e5-large
-- intfloat/multilingual-e5-large-instruct
-- intfloat/multilingual-e5-small
-- jinaai/jina-embeddings-v5-text-small
-- lfcc/medlink-bi-encoder
-- microsoft/harrier-oss-v1-0.6b
-- microsoft/harrier-oss-v1-270m
-- microsoft/harrier-oss-v1-27b
-- mixedbread-ai/mxbai-embed-large-v1
-- neuralmind/bert-base-portuguese-cased
-- neuralmind/bert-large-portuguese-cased
-- nvidia/llama-embed-nemotron-8b
-- rufimelo/Legal-BERTimbau-sts-large
-- rufimelo/Legal-BERTimbau-sts-large-ma-v3
-- sentence-transformers/LaBSE
-- sentence-transformers/all-MiniLM-L12-v2
-- sentence-transformers/all-MiniLM-L6-v2
-- sentence-transformers/all-mpnet-base-v2
-- sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
-- sentence-transformers/paraphrase-multilingual-mpnet-base-v2
-- stjiris/bert-large-portuguese-cased-legal-mlm-mkd-nli-sts-v1
-- stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0
-- stjiris/bert-large-portuguese-cased-legal-tsdae-gpl-nli-sts-MetaKD-v0
-- tardellirs/brazembed-pt-br
-- telepix/PIXIE-Rune-v1.0
-- tencent/KaLM-Embedding-Gemma3-12B-2511
-- thenlper/gte-small
-- ufca-llms/Qwen3-Embedding-0.6B-jua-V2
-- ufca-llms/jua-4B-legal-only
-- ufca-llms/jua-4B-mixed
-- ulysses-camara/legal-bert-pt-br
+  - Qwen/Qwen3-Embedding-8B
+  - Octen/Octen-Embedding-8B
+  - google/embeddinggemma-300m
+  - microsoft/harrier-oss-v1-27b
+  - Qwen/Qwen3-Embedding-4B
+  - tencent/KaLM-Embedding-Gemma3-12B-2511
+  - codefuse-ai/F2LLM-v2-8B
+  - microsoft/harrier-oss-v1-0.6b
+  - codefuse-ai/F2LLM-v2-14B
+  - intfloat/multilingual-e5-large-instruct
+  - SamilPwC-AXNode-GenAI/PwC-Embedding_expr
+  - BAAI/bge-m3
+  - Qwen/Qwen3-Embedding-0.6B
+  - telepix/PIXIE-Rune-v1.0
+  - ufca-llms/jua-4B-mixed
+  - Octen/Octen-Embedding-0.6B
+  - jinaai/jina-embeddings-v5-text-small
+  - intfloat/multilingual-e5-large
+  - Snowflake/snowflake-arctic-embed-l-v2.0
+  - ibm-granite/granite-embedding-311m-multilingual-r2
+  - intfloat/multilingual-e5-base
+  - PORTULAN/serafim-335m-portuguese-pt-sentence-encoder-ir
+  - PORTULAN/serafim-100m-portuguese-pt-sentence-encoder-ir
+  - PORTULAN/serafim-900m-portuguese-pt-sentence-encoder-ir
+  - microsoft/harrier-oss-v1-270m
+  - jinaai/jina-embeddings-v5-text-nano
+  - intfloat/multilingual-e5-small
+  - ibm-granite/granite-embedding-107m-multilingual
+  - codefuse-ai/F2LLM-v2-160M
+  - rufimelo/Legal-BERTimbau-sts-large
+  - ibm-granite/granite-embedding-97m-multilingual-r2
+  - Alibaba-NLP/gte-Qwen2-1.5B-instruct
+  - sentence-transformers/paraphrase-multilingual-mpnet-base-v2
+  - stjiris/bert-large-portuguese-cased-legal-mlm-sts-v1.0
+  - sentence-transformers/LaBSE
+  - rufimelo/Legal-BERTimbau-sts-large-ma-v3
+  - neuralmind/bert-base-portuguese-cased
+  - neuralmind/bert-large-portuguese-cased
+  - mixedbread-ai/mxbai-embed-large-v1
+  - PORTULAN/albertina-900m-portuguese-ptbr-encoder
+  - sentence-transformers/all-MiniLM-L12-v2
+  - nvidia/llama-embed-nemotron-8b
+  - PORTULAN/albertina-100m-portuguese-ptbr-encoder
+  - sentence-transformers/all-mpnet-base-v2
+  - sentence-transformers/all-MiniLM-L6-v2
+  - BidirLM/BidirLM-1.7B-Embedding
+  - sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
 ---
 
-# MTEB(por) — Brazilian Portuguese Massive Text Embedding Benchmark
+# MTEB-BR — Brazilian Portuguese Massive Text Embedding Benchmark
 
 A Massive Text Embedding Benchmark for **Brazilian Portuguese**.
 
-- **93 models** evaluated on **22 native PT-BR tasks** (no machine-translated mMARCO/mkqa)
+- **56 models** evaluated on **16 native PT-BR tasks** (no machine-translated mMARCO/mkqa)
 - Tasks: classification, NLI, STS, clustering, retrieval (incl. Quati Pool), reranking
-- Headline metric: **mean_22** (average across all 22 tasks)
+- Headline metric: **mean_16** (average across all 16 tasks)
 - All raw results: [MTEB-BR/mteb-pt-results](https://huggingface.co/datasets/MTEB-BR/mteb-pt-results)
 - Source code: [github.com/tardellirs/mteb-br](https://github.com/tardellirs/mteb-br)
 
@@ -127,7 +98,7 @@ with model_id, eval JSONs, and reproduction script.
 
 ```bibtex
 @misc{mteb-por-2026,
-  title  = {MTEB(por): The Brazilian Portuguese MTEB Sub-Benchmark},
+  title  = {MTEB-BR: The Brazilian Portuguese MTEB Sub-Benchmark},
   author = {Tardelli, R.S.},
   year   = {2026},
   url    = {https://huggingface.co/spaces/MTEB-BR/leaderboard}

index.html

@@ -4,11 +4,11 @@
     <meta charset="UTF-8" />
     <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>MTEB(por) Leaderboard — Brazilian Portuguese</title>
-    <meta name="description" content="MTEB(por) — Massive Text Embedding Benchmark for Brazilian Portuguese. 93 models × 22 tasks." />
-    <meta property="og:title" content="MTEB(por) Leaderboard" />
+    <title>MTEB-BR Leaderboard — Brazilian Portuguese</title>
+    <meta name="description" content="MTEB-BR — Massive Text Embedding Benchmark for Brazilian Portuguese. 93 models × 22 tasks." />
+    <meta property="og:title" content="MTEB-BR Leaderboard" />
     <meta property="og:description" content="93 embedding models evaluated on 22 native PT-BR tasks." />
-    <script type="module" crossorigin src="/assets/index-B7JlBoRm.js"></script>
+    <script type="module" crossorigin src="/assets/index-VP1v9aXa.js"></script>
     <link rel="stylesheet" crossorigin href="/assets/index-igOVgDnG.css">
   </head>
   <body>