Initial leaderboard publish: 56 models × 18 tasks

README.md

@@ -1,10 +1,110 @@
 ---
-title: Leaderboard
-emoji: 🏢
-colorFrom: purple
-colorTo: purple
+title: MTEB(por) Leaderboard
+emoji: 🏆
+colorFrom: green
+colorTo: yellow
 sdk: static
-pinned: false
+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
+datasets:
+  - mteb-pt/mteb-pt-results
+models:
+  - 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
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# MTEB(por) — Brazilian Portuguese Massive Text Embedding Benchmark
+
+The fifth language-specific MTEB sub-benchmark (after Scandinavian, Chinese, Polish,
+French; Enevoldsen et al., 2025) targeting **Brazilian Portuguese**.
+
+- **56 models** evaluated on **18 native PT-BR tasks** (no machine-translated mMARCO/mkqa)
+- Tasks: 11 non-retrieval (classification, NLI, STS, clustering) + 7 retrieval (incl. Quati Pool)
+- Headline metric: **mean_16** (excludes degenerate CSTNews + BBC copyright concern)
+- All raw results: [mteb-pt/mteb-pt-results](https://huggingface.co/datasets/mteb-pt/mteb-pt-results)
+- Source code: [github.com/tardellirs/mteb-pt](https://github.com/tardellirs/mteb-pt)
+
+## Tasks (18 total)
+
+| Category | Tasks |
+|---|---|
+| Classification | HateBR, OffComBR, TweetSentBR, ToxSynPT |
+| Pair classification (NLI) | AssinRTE, InferBR |
+| STS | AssinSTS |
+| Clustering | MedPTClustering, BBCNewsPTClustering*, WikipediaPTCategoriesClusteringP2P, CSTNewsClustering* |
+| Retrieval | Quati (Pool), JurisTCU, BRTaxQAR, FaQuADIR, MedPTRetrieval |
+| Reranking | QuatiReranking, JurisTCUReranking |
+
+\* excluded from headline mean_16
+
+## How to add a model
+
+Submit via GitHub Issues at [tardellirs/mteb-pt/issues](https://github.com/tardellirs/mteb-pt/issues)
+with model_id, eval JSONs, and reproduction script.
+
+## Citation
+
+```bibtex
+@misc{mteb-por-2026,
+  title  = {MTEB(por): The Brazilian Portuguese MTEB Sub-Benchmark},
+  author = {Tardelli, R.S.},
+  year   = {2026},
+  url    = {https://huggingface.co/spaces/mteb-pt/leaderboard}
+}
+```
+

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A`,params:471,license:`apache-2.0`,type:`open`,n_tasks:18,mean_16:.546,mean_18:.557,scores:{hatebr:.8102,offcombr:.7159,tweetsentbr:.5644,toxsynpt:.8056,inferbr:.577,assinrte:.8077,assinsts:.7083,medptclustering:.6296,bbcnewsptclustering:.29,wikipediaptcategoriesclusteringp2p:.5822,cstnewsclustering:1,quati:.1232,juristcu:.3004,brtaxqar:.1179,faquadir:.6474,medptretrieval:.4399,quatireranking:.3962,juristcureranking:.5099},rank:44},{id:`rufimelo/Legal-BERTimbau-sts-large-ma-v3`,name:`Legal-BERTimbau-sts-large-ma-v3`,tier:`Phase C`,params:335,license:`mit`,type:`open`,n_tasks:18,mean_16:.5415,mean_18:.5532,scores:{hatebr:.799,offcombr:.6836,tweetsentbr:.5734,toxsynpt:.8709,inferbr:.823,assinrte:.8515,assinsts:.7634,medptclustering:.6616,bbcnewsptclustering:.2943,wikipediaptcategoriesclusteringp2p:.5628,cstnewsclustering:1,quati:.1228,juristcu:.2057,brtaxqar:.0686,faquadir:.4783,medptretrieval:.4346,quatireranking:.389,juristcureranking:.3756},rank:45},{id:`neuralmind/bert-base-portuguese-cased`,name:`bert-base-portuguese-cased`,tier:`Phase 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D v0.8`,params:100,license:`mit`,type:`open`,n_tasks:18,mean_16:.4607,mean_18:.4823,scores:{hatebr:.7063,offcombr:.7271,tweetsentbr:.4928,toxsynpt:.8075,inferbr:.499,assinrte:.6566,assinsts:.6126,medptclustering:.5621,bbcnewsptclustering:.3106,wikipediaptcategoriesclusteringp2p:.6229,cstnewsclustering:1,quati:.0791,juristcu:.1853,brtaxqar:.047,faquadir:.5455,medptretrieval:.1795,quatireranking:.311,juristcureranking:.3365},rank:52},{id:`sentence-transformers/all-mpnet-base-v2`,name:`all-mpnet-base-v2`,tier:`Phase A`,params:110,license:`apache-2.0`,type:`open`,n_tasks:18,mean_16:.4533,mean_18:.4737,scores:{hatebr:.635,offcombr:.6874,tweetsentbr:.4234,toxsynpt:.6501,inferbr:.4582,assinrte:.6196,assinsts:.5062,medptclustering:.5757,bbcnewsptclustering:.2736,wikipediaptcategoriesclusteringp2p:.5704,cstnewsclustering:1,quati:.1248,juristcu:.267,brtaxqar:.0936,faquadir:.468,medptretrieval:.3885,quatireranking:.3387,juristcureranking:.4468},rank:53},{id:`sentence-transformers/all-MiniLM-L6-v2`,name:`all-MiniLM-L6-v2`,tier:`Phase A`,params:22,license:`apache-2.0`,type:`open`,n_tasks:18,mean_16:.4475,mean_18:.4688,scores:{hatebr:.5968,offcombr:.656,tweetsentbr:.4381,toxsynpt:.6471,inferbr:.4743,assinrte:.628,assinsts:.53,medptclustering:.5431,bbcnewsptclustering:.2788,wikipediaptcategoriesclusteringp2p:.5661,cstnewsclustering:1,quati:.0949,juristcu:.2792,brtaxqar:.0897,faquadir:.4761,medptretrieval:.3585,quatireranking:.3185,juristcureranking:.4629},rank:54},{id:`BidirLM/BidirLM-1.7B-Embedding`,name:`BidirLM-1.7B-Embedding`,tier:`Pending`,params:1700,license:`apache-2.0`,type:`open`,n_tasks:18,mean_16:.4186,mean_18:.4415,scores:{hatebr:.5774,offcombr:.5353,tweetsentbr:.4331,toxsynpt:.6405,inferbr:.6137,assinrte:.6431,assinsts:.5083,medptclustering:.4334,bbcnewsptclustering:.2497,wikipediaptcategoriesclusteringp2p:.2369,cstnewsclustering:1,quati:.3382,juristcu:.2588,brtaxqar:.1359,faquadir:.4143,medptretrieval:.1457,quatireranking:.4486,juristcureranking:.3349},rank:55},{id:`sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2`,name:`paraphrase-multilingual-MiniLM-L12-v2`,tier:`Pool`,params:117,license:`apache-2.0`,type:`open`,n_tasks:18,mean_16:.4028,mean_18:.4286,scores:{hatebr:.5526,offcombr:.5981,tweetsentbr:.3744,toxsynpt:.5872,inferbr:.39,assinrte:.3715,assinsts:.2487,medptclustering:.5134,bbcnewsptclustering:.2696,wikipediaptcategoriesclusteringp2p:.3328,cstnewsclustering:1,quati:.2033,juristcu:.3021,brtaxqar:.0302,faquadir:.5735,medptretrieval:.5098,quatireranking:.3869,juristcureranking:.4705},rank:56}]},pe=q(`<div class=app><header><h1>MTEB(por) Leaderboard</h1><p class=subtitle>Massive Text Embedding Benchmark — Brazilian Portuguese · v<!> · <!> models · 18 tasks · updated </p><p class=links><a href=https://github.com/tardellirs/mteb-pt target=_blank>GitHub</a> ·<a href=https://huggingface.co/mteb-pt target=_blank>HF Org</a> ·<a href=https://huggingface.co/datasets/mteb-pt/mteb-pt-results target=_blank>Raw Results</a></p></header><div class=controls><input type=text placeholder="Search model…"class=search><select><option value=all>All models</option><option value=open>Open weights</option><option value=closed>Closed / API</option></select><select><option value=all>All tiers</option></select><div class=toggle-group><button>mean_16</button><button>mean_18</button></div><label class=cb><input type=checkbox>show BBC + CST</label></div><div class=meta-bar>Showing <!> / </div><div class=table-wrap><table><thead><tr><th class=sticky>#</th><th class="sticky model-col">Model</th><th>Params</th><th>License</th><th class=metric>mean_</th></tr></thead><tbody></tbody></table></div><footer><p><b>mean_16</b> = headline (excludes CSTNews degenerate + BBC copyright).<b>mean_18</b> = full task set. 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index.html

@@ -1,19 +1,17 @@
 <!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
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+<html lang="en">
+  <head>
+    <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. 56 models × 18 tasks." />
+    <meta property="og:title" content="MTEB(por) Leaderboard" />
+    <meta property="og:description" content="56 embedding models evaluated on 18 native PT-BR tasks." />
+    <script type="module" crossorigin src="/assets/index-DB6Y9hrY.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-D0qkT26e.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
 </html>