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README.md

@@ -1,15 +1,21 @@
 ---
 library_name: model2vec
 license: mit
+tags:
+- embeddings
+- static-embeddings
+- mteb
 model-index:
 - name: potion-base-2M
   results:
-  - dataset:
-      config: en-ext
+  - task:
+      type: Classification
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en-ext)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en-ext
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 64.09295352323838
@@ -23,14 +29,14 @@ model-index:
       value: 71.02083973787023
     - type: main_score
       value: 64.09295352323838
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 65.44776119402985
@@ -44,14 +50,14 @@ model-index:
       value: 68.76825531256598
     - type: main_score
       value: 65.44776119402985
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB AmazonPolarityClassification (default)
-      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
-      split: test
       type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
       value: 70.8279
@@ -65,14 +71,14 @@ model-index:
       value: 70.5783166369514
     - type: main_score
       value: 70.8279
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonReviewsClassification (en)
-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
-      split: test
       type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
       value: 32.996
@@ -82,14 +88,14 @@ model-index:
       value: 32.31726739771067
     - type: main_score
       value: 32.996
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB ArguAna (default)
-      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
-      split: test
       type: mteb/arguana
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
     metrics:
     - type: main_score
       value: 32.622
@@ -373,14 +379,14 @@ model-index:
       value: 31.791999999999998
     - type: recall_at_5
       value: 40.114
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB ArxivClusteringP2P (default)
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-      split: test
       type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: main_score
       value: 29.870127302809124
@@ -388,14 +394,14 @@ model-index:
       value: 29.870127302809124
     - type: v_measure_std
       value: 14.791231720290682
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArxivClusteringS2S (default)
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-      split: test
       type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: main_score
       value: 20.120157976895523
@@ -403,14 +409,14 @@ model-index:
       value: 20.120157976895523
     - type: v_measure_std
       value: 15.985610307944178
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB AskUbuntuDupQuestions (default)
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-      split: test
       type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: main_score
       value: 52.90637925416103
@@ -430,14 +436,14 @@ model-index:
       value: 24.008690838618477
     - type: nAUC_mrr_std
       value: 4.127979271888478
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB BIOSSES (default)
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
-      split: test
       type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cosine_pearson
       value: 69.51991057082712
@@ -457,14 +463,14 @@ model-index:
       value: 69.51991057082712
     - type: spearman
       value: 64.10808725228159
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB Banking77Classification (default)
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-      split: test
       type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
       value: 65.17207792207793
@@ -474,14 +480,14 @@ model-index:
       value: 63.62144343754335
     - type: main_score
       value: 65.17207792207793
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB BiorxivClusteringP2P (default)
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-      split: test
       type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: main_score
       value: 25.780291675770933
@@ -489,14 +495,14 @@ model-index:
       value: 25.780291675770933
     - type: v_measure_std
       value: 0.5140442536046052
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB BiorxivClusteringS2S (default)
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-      split: test
       type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: main_score
       value: 14.938305313404305
@@ -504,14 +510,14 @@ model-index:
       value: 14.938305313404305
     - type: v_measure_std
       value: 0.6925176157191298
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB CQADupstackAndroidRetrieval (default)
-      revision: f46a197baaae43b4f621051089b82a364682dfeb
-      split: test
       type: mteb/cqadupstack-android
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
     metrics:
     - type: main_score
       value: 25.330000000000002
@@ -795,14 +801,14 @@ model-index:
       value: 21.951999999999998
     - type: recall_at_5
       value: 26.866
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackEnglishRetrieval (default)
-      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
-      split: test
       type: mteb/cqadupstack-english
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
     metrics:
     - type: main_score
       value: 19.03
@@ -1086,14 +1092,14 @@ model-index:
       value: 17.95
     - type: recall_at_5
       value: 20.605
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGamingRetrieval (default)
-      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
-      split: test
       type: mteb/cqadupstack-gaming
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
     metrics:
     - type: main_score
       value: 29.583
@@ -1377,14 +1383,14 @@ model-index:
       value: 28.872999999999998
     - type: recall_at_5
       value: 33.771
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackGisRetrieval (default)
-      revision: 5003b3064772da1887988e05400cf3806fe491f2
-      split: test
       type: mteb/cqadupstack-gis
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
     metrics:
     - type: main_score
       value: 14.183000000000002
@@ -1668,14 +1674,14 @@ model-index:
       value: 13.221
     - type: recall_at_5
       value: 14.895
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackMathematicaRetrieval (default)
-      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
-      split: test
       type: mteb/cqadupstack-mathematica
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
     metrics:
     - type: main_score
       value: 8.94
@@ -1959,14 +1965,14 @@ model-index:
       value: 8.260000000000002
     - type: recall_at_5
       value: 10.82
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackPhysicsRetrieval (default)
-      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
-      split: test
       type: mteb/cqadupstack-physics
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
     metrics:
     - type: main_score
       value: 20.294999999999998
@@ -2250,14 +2256,14 @@ model-index:
       value: 19.167
     - type: recall_at_5
       value: 22.281000000000002
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackProgrammersRetrieval (default)
-      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
-      split: test
       type: mteb/cqadupstack-programmers
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
     metrics:
     - type: main_score
       value: 14.094999999999999
@@ -2541,27 +2547,27 @@ model-index:
       value: 12.546
     - type: recall_at_5
       value: 15.453
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackRetrieval (default)
-      revision: CQADupstackRetrieval_is_a_combined_dataset
-      split: test
       type: CQADupstackRetrieval_is_a_combined_dataset
+      config: default
+      split: test
+      revision: CQADupstackRetrieval_is_a_combined_dataset
     metrics:
     - type: main_score
       value: 16.292583333333337
     - type: ndcg_at_10
       value: 16.292583333333337
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackStatsRetrieval (default)
-      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
-      split: test
       type: mteb/cqadupstack-stats
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
     metrics:
     - type: main_score
       value: 11.084
@@ -2845,14 +2851,14 @@ model-index:
       value: 9.052
     - type: recall_at_5
       value: 12.891
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackTexRetrieval (default)
-      revision: 46989137a86843e03a6195de44b09deda022eec7
-      split: test
       type: mteb/cqadupstack-tex
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
     metrics:
     - type: main_score
       value: 9.0
@@ -3136,14 +3142,14 @@ model-index:
       value: 7.965999999999999
     - type: recall_at_5
       value: 9.795
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackUnixRetrieval (default)
-      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
-      split: test
       type: mteb/cqadupstack-unix
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
     metrics:
     - type: main_score
       value: 14.642
@@ -3427,14 +3433,14 @@ model-index:
       value: 13.555
     - type: recall_at_5
       value: 16.259
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWebmastersRetrieval (default)
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-      split: test
       type: mteb/cqadupstack-webmasters
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
     metrics:
     - type: main_score
       value: 17.971999999999998
@@ -3718,14 +3724,14 @@ model-index:
       value: 15.906
     - type: recall_at_5
       value: 20.16
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CQADupstackWordpressRetrieval (default)
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-      split: test
       type: mteb/cqadupstack-wordpress
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
     metrics:
     - type: main_score
       value: 11.357000000000001
@@ -4009,14 +4015,14 @@ model-index:
       value: 10.789
     - type: recall_at_5
       value: 14.116000000000001
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ClimateFEVER (default)
-      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
-      split: test
       type: mteb/climate-fever
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
     metrics:
     - type: main_score
       value: 8.665000000000001
@@ -4300,14 +4306,14 @@ model-index:
       value: 5.862
     - type: recall_at_5
       value: 7.595000000000001
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB DBPedia (default)
-      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
-      split: test
       type: mteb/dbpedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
     metrics:
     - type: main_score
       value: 18.317
@@ -4591,14 +4597,14 @@ model-index:
       value: 6.6530000000000005
     - type: recall_at_5
       value: 7.93
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB EmotionClassification (default)
-      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
-      split: test
       type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
       value: 42.035
@@ -4608,14 +4614,14 @@ model-index:
       value: 44.414257303205105
     - type: main_score
       value: 42.035
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB FEVER (default)
-      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
-      split: test
       type: mteb/fever
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
     metrics:
     - type: main_score
       value: 18.761
@@ -4899,14 +4905,14 @@ model-index:
       value: 17.79
     - type: recall_at_5
       value: 21.956
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB FiQA2018 (default)
-      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
-      split: test
       type: mteb/fiqa
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
     metrics:
     - type: main_score
       value: 10.219000000000001
@@ -5190,14 +5196,14 @@ model-index:
       value: 7.8549999999999995
     - type: recall_at_5
       value: 9.861
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB HotpotQA (default)
-      revision: ab518f4d6fcca38d87c25209f94beba119d02014
-      split: test
       type: mteb/hotpotqa
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
     metrics:
     - type: main_score
       value: 21.614
@@ -5481,14 +5487,14 @@ model-index:
       value: 17.873
     - type: recall_at_5
       value: 20.608
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ImdbClassification (default)
-      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
-      split: test
       type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
       value: 70.35639999999998
@@ -5502,14 +5508,14 @@ model-index:
       value: 70.18257490051944
     - type: main_score
       value: 70.35639999999998
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB MSMARCO (default)
-      revision: c5a29a104738b98a9e76336939199e264163d4a0
-      split: test
       type: mteb/msmarco
+      config: default
+      split: test
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
     metrics:
     - type: main_score
       value: 29.474
@@ -5793,14 +5799,14 @@ model-index:
       value: 2.2800000000000002
     - type: recall_at_5
       value: 3.94
-    task:
-      type: Retrieval
-  - dataset:
-      config: en
+  - task:
+      type: Classification
+    dataset:
       name: MTEB MTOPDomainClassification (en)
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
-      split: test
       type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
       value: 79.27268581851345
@@ -5810,14 +5816,14 @@ model-index:
       value: 79.14088602852584
     - type: main_score
       value: 79.27268581851345
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MTOPIntentClassification (en)
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
-      split: test
       type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
       value: 42.49886000911992
@@ -5827,14 +5833,14 @@ model-index:
       value: 46.29236281595424
     - type: main_score
       value: 42.49886000911992
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveIntentClassification (en)
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: test
       type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 54.065232010759914
@@ -5844,14 +5850,14 @@ model-index:
       value: 52.69815077422998
     - type: main_score
       value: 54.065232010759914
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveScenarioClassification (en)
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: test
       type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 59.596503026227296
@@ -5861,14 +5867,14 @@ model-index:
       value: 59.23698301210568
     - type: main_score
       value: 59.596503026227296
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB MedrxivClusteringP2P (default)
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
-      split: test
       type: mteb/medrxiv-clustering-p2p
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: main_score
       value: 25.59161751046095
@@ -5876,14 +5882,14 @@ model-index:
       value: 25.59161751046095
     - type: v_measure_std
       value: 1.4816189134361553
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB MedrxivClusteringS2S (default)
-      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
-      split: test
       type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: main_score
       value: 21.396391045777328
@@ -5891,14 +5897,14 @@ model-index:
       value: 21.396391045777328
     - type: v_measure_std
       value: 1.6103207158789596
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB MindSmallReranking (default)
-      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
-      split: test
       type: mteb/mind_small
+      config: default
+      split: test
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
     metrics:
     - type: main_score
       value: 28.017817065141404
@@ -5918,14 +5924,14 @@ model-index:
       value: -19.527290469919414
     - type: nAUC_mrr_std
       value: -6.772185014428633
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB NFCorpus (default)
-      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
-      split: test
       type: mteb/nfcorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
     metrics:
     - type: main_score
       value: 18.958
@@ -6209,14 +6215,14 @@ model-index:
       value: 5.005
     - type: recall_at_5
       value: 6.3950000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB NQ (default)
-      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
-      split: test
       type: mteb/nq
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
     metrics:
     - type: main_score
       value: 13.048000000000002
@@ -6500,14 +6506,14 @@ model-index:
       value: 11.584999999999999
     - type: recall_at_5
       value: 15.662
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB QuoraRetrieval (default)
-      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
-      split: test
       type: mteb/quora
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
     metrics:
     - type: main_score
       value: 75.889
@@ -6791,14 +6797,14 @@ model-index:
       value: 74.507
     - type: recall_at_5
       value: 79.487
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB RedditClustering (default)
-      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
-      split: test
       type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: main_score
       value: 29.134297978095674
@@ -6806,14 +6812,14 @@ model-index:
       value: 29.134297978095674
     - type: v_measure_std
       value: 3.9934034124121185
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB RedditClusteringP2P (default)
-      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
-      split: test
       type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: main_score
       value: 39.215421675518
@@ -6821,14 +6827,14 @@ model-index:
       value: 39.215421675518
     - type: v_measure_std
       value: 10.607286582764162
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SCIDOCS (default)
-      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
-      split: test
       type: mteb/scidocs
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
     metrics:
     - type: main_score
       value: 8.163
@@ -7112,14 +7118,14 @@ model-index:
       value: 4.35
     - type: recall_at_5
       value: 5.765
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB SICK-R (default)
-      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
-      split: test
       type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: cosine_pearson
       value: 74.06014749723313
@@ -7139,14 +7145,14 @@ model-index:
       value: 74.06014749723313
     - type: spearman
       value: 62.85583348143348
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS12 (default)
-      revision: a0d554a64d88156834ff5ae9920b964011b16384
-      split: test
       type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
     - type: cosine_pearson
       value: 71.71587397454503
@@ -7166,14 +7172,14 @@ model-index:
       value: 71.71587397454503
     - type: spearman
       value: 62.07913034464432
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS13 (default)
-      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
-      split: test
       type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
     - type: cosine_pearson
       value: 74.00146491973214
@@ -7193,14 +7199,14 @@ model-index:
       value: 74.00146491973214
     - type: spearman
       value: 75.73113726697468
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS14 (default)
-      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
-      split: test
       type: mteb/sts14-sts
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cosine_pearson
       value: 73.18799052289306
@@ -7220,14 +7226,14 @@ model-index:
       value: 73.18799052289306
     - type: spearman
       value: 69.27997439795548
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS15 (default)
-      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
-      split: test
       type: mteb/sts15-sts
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
     - type: cosine_pearson
       value: 75.05240168700195
@@ -7247,14 +7253,14 @@ model-index:
       value: 75.05240168700195
     - type: spearman
       value: 76.32976845993336
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS16 (default)
-      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
-      split: test
       type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cosine_pearson
       value: 71.35240308275529
@@ -7274,14 +7280,14 @@ model-index:
       value: 71.35240308275529
     - type: spearman
       value: 73.46659216141927
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-en
+    dataset:
       name: MTEB STS17 (en-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 80.32585308865436
@@ -7301,14 +7307,14 @@ model-index:
       value: 80.32585308865436
     - type: spearman
       value: 82.08042618874391
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: fr-en
+    dataset:
       name: MTEB STS17 (fr-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: fr-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 26.492433454505004
@@ -7328,14 +7334,14 @@ model-index:
       value: 26.492433454505004
     - type: spearman
       value: 25.26192630209604
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-ar
+    dataset:
       name: MTEB STS17 (en-ar)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-ar
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 4.849502004066215
@@ -7355,14 +7361,14 @@ model-index:
       value: 4.849502004066215
     - type: spearman
       value: 2.4221360201347566
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: it-en
+    dataset:
       name: MTEB STS17 (it-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: it-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 17.67430795163699
@@ -7382,14 +7388,14 @@ model-index:
       value: 17.67430795163699
     - type: spearman
       value: 14.138028269188412
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-tr
+    dataset:
       name: MTEB STS17 (en-tr)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-tr
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 11.032677618214326
@@ -7409,14 +7415,14 @@ model-index:
       value: 11.032677618214326
     - type: spearman
       value: 8.819837594034183
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: nl-en
+    dataset:
       name: MTEB STS17 (nl-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: nl-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 21.77242194085935
@@ -7436,14 +7442,14 @@ model-index:
       value: 21.77242194085935
     - type: spearman
       value: 19.564246863458028
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-de
+    dataset:
       name: MTEB STS17 (en-de)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-de
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 24.34392722914247
@@ -7463,14 +7469,14 @@ model-index:
       value: 24.34392722914247
     - type: spearman
       value: 22.516912091222096
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS17 (es-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: es-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 11.486165309912764
@@ -7490,14 +7496,14 @@ model-index:
       value: 11.486165309912764
     - type: spearman
       value: 10.139614392782256
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en
+    dataset:
       name: MTEB STS22 (en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_pearson
       value: 56.1393113780294
@@ -7517,14 +7523,14 @@ model-index:
       value: 56.1393113780294
     - type: spearman
       value: 62.64707232707212
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: zh-en
+    dataset:
       name: MTEB STS22 (zh-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: zh-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_pearson
       value: 9.554093605202135
@@ -7544,14 +7550,14 @@ model-index:
       value: 9.554093605202135
     - type: spearman
       value: 11.788855140937605
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: de-en
+    dataset:
       name: MTEB STS22 (de-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: de-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_pearson
       value: 23.699968394697848
@@ -7571,14 +7577,14 @@ model-index:
       value: 23.699968394697848
     - type: spearman
       value: 25.635685273215014
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: es-en
+    dataset:
       name: MTEB STS22 (es-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: es-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_pearson
       value: 9.344287684864119
@@ -7598,14 +7604,14 @@ model-index:
       value: 9.344287684864119
     - type: spearman
       value: 10.042423712385212
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: pl-en
+    dataset:
       name: MTEB STS22 (pl-en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: pl-en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_pearson
       value: 8.001041267374578
@@ -7625,14 +7631,14 @@ model-index:
       value: 8.001041267374578
     - type: spearman
       value: 15.127881072012025
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STSBenchmark (default)
-      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
-      split: test
       type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
     - type: cosine_pearson
       value: 73.57677681061787
@@ -7652,14 +7658,14 @@ model-index:
       value: 73.57677681061787
     - type: spearman
       value: 72.80800903257308
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB SciDocsRR (default)
-      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
-      split: test
       type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
     metrics:
     - type: main_score
       value: 66.13944998572143
@@ -7679,14 +7685,14 @@ model-index:
       value: 69.96013858740152
     - type: nAUC_mrr_std
       value: 62.072046098925156
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SciFact (default)
-      revision: 0228b52cf27578f30900b9e5271d331663a030d7
-      split: test
       type: mteb/scifact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
     metrics:
     - type: main_score
       value: 36.55
@@ -7970,14 +7976,14 @@ model-index:
       value: 36.306
     - type: recall_at_5
       value: 43.389
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB SprintDuplicateQuestions (default)
-      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
-      split: test
       type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cosine_accuracy
       value: 99.68415841584158
@@ -8061,14 +8067,14 @@ model-index:
       value: 86.65231431646933
     - type: similarity_recall
       value: 80.5
-    task:
-      type: PairClassification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB StackExchangeClustering (default)
-      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
-      split: test
       type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: main_score
       value: 37.82716668016299
@@ -8076,14 +8082,14 @@ model-index:
       value: 37.82716668016299
     - type: v_measure_std
       value: 3.9071651545475055
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB StackExchangeClusteringP2P (default)
-      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
-      split: test
       type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: main_score
       value: 31.549916824347523
@@ -8091,14 +8097,14 @@ model-index:
       value: 31.549916824347523
     - type: v_measure_std
       value: 1.649284454526032
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB StackOverflowDupQuestions (default)
-      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
-      split: test
       type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: main_score
       value: 40.201162273119
@@ -8118,14 +8124,14 @@ model-index:
       value: 16.03297395659567
     - type: nAUC_mrr_std
       value: 4.5441260195062885
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Summarization
+    dataset:
       name: MTEB SummEval (default)
-      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
-      split: test
       type: mteb/summeval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cosine_pearson
       value: 30.982384340344282
@@ -8141,14 +8147,14 @@ model-index:
       value: 30.982384340344282
     - type: spearman
       value: 31.512077655680574
-    task:
-      type: Summarization
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB TRECCOVID (default)
-      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
-      split: test
       type: mteb/trec-covid
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
     metrics:
     - type: main_score
       value: 40.475
@@ -8432,14 +8438,14 @@ model-index:
       value: 0.337
     - type: recall_at_5
       value: 0.5329999999999999
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB Touche2020 (default)
-      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
-      split: test
       type: mteb/touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
     metrics:
     - type: main_score
       value: 12.869
@@ -8723,14 +8729,14 @@ model-index:
       value: 2.495
     - type: recall_at_5
       value: 5.4719999999999995
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ToxicConversationsClassification (default)
-      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
-      split: test
       type: mteb/toxic_conversations_50k
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 66.591796875
@@ -8744,14 +8750,14 @@ model-index:
       value: 74.03661967545759
     - type: main_score
       value: 66.591796875
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TweetSentimentExtractionClassification (default)
-      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
-      split: test
       type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
       value: 52.524052065648
@@ -8761,14 +8767,14 @@ model-index:
       value: 51.956916785617736
     - type: main_score
       value: 52.524052065648
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB TwentyNewsgroupsClustering (default)
-      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
-      split: test
       type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
     - type: main_score
       value: 27.072966157648477
@@ -8776,14 +8782,14 @@ model-index:
       value: 27.072966157648477
     - type: v_measure_std
       value: 1.563199572918265
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB TwitterSemEval2015 (default)
-      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
-      split: test
       type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cosine_accuracy
       value: 80.6818859152411
@@ -8867,14 +8873,14 @@ model-index:
       value: 45.14719848053181
     - type: similarity_recall
       value: 62.71767810026385
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TwitterURLCorpus (default)
-      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
-      split: test
       type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cosine_accuracy
       value: 85.89474909768309
@@ -8958,13 +8964,6 @@ model-index:
       value: 69.57530076822728
     - type: similarity_recall
       value: 73.91438250692947
-    task:
-      type: PairClassification
-model_name: potion-base-2M
-tags:
-- embeddings
-- static-embeddings
-- mteb
 ---
 
 # potion-base-2M Model Card