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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-4M
   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: 67.5712143928036
@@ -23,14 +29,14 @@ model-index:
       value: 73.78539599566238
     - type: main_score
       value: 67.5712143928036
-    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: 68.38805970149254
@@ -44,14 +50,14 @@ model-index:
       value: 71.3687043183968
     - type: main_score
       value: 68.38805970149254
-    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: 71.69602499999999
@@ -65,14 +71,14 @@ model-index:
       value: 71.42572451950106
     - type: main_score
       value: 71.69602499999999
-    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: 34.321999999999996
@@ -82,14 +88,14 @@ model-index:
       value: 33.68591037434848
     - type: main_score
       value: 34.321999999999996
-    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: 39.449
@@ -373,14 +379,14 @@ model-index:
       value: 39.26
     - type: recall_at_5
       value: 49.431000000000004
-    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: 34.19332453253303
@@ -388,14 +394,14 @@ model-index:
       value: 34.19332453253303
     - type: v_measure_std
       value: 14.189152053888938
-    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: 24.104443846867934
@@ -403,14 +409,14 @@ model-index:
       value: 24.104443846867934
     - type: v_measure_std
       value: 15.164667270049211
-    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: 53.803562861722696
@@ -430,14 +436,14 @@ model-index:
       value: 21.221447117685774
     - type: nAUC_mrr_std
       value: 5.470983299654257
-    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: 75.18540989714172
@@ -457,14 +463,14 @@ model-index:
       value: 75.18540989714172
     - type: spearman
       value: 71.87392685280749
-    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: 69.69480519480518
@@ -474,14 +480,14 @@ model-index:
       value: 68.4951487448326
     - type: main_score
       value: 69.69480519480518
-    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: 29.09840292638104
@@ -489,14 +495,14 @@ model-index:
       value: 29.09840292638104
     - type: v_measure_std
       value: 0.8130265845858159
-    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: 18.622216350398414
@@ -504,14 +510,14 @@ model-index:
       value: 18.622216350398414
     - type: v_measure_std
       value: 0.6293204014994399
-    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: 28.634999999999998
@@ -795,14 +801,14 @@ model-index:
       value: 26.143
     - type: recall_at_5
       value: 30.441000000000003
-    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: 23.933
@@ -1086,14 +1092,14 @@ model-index:
       value: 22.034000000000002
     - type: recall_at_5
       value: 25.663000000000004
-    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: 35.807
@@ -1377,14 +1383,14 @@ model-index:
       value: 34.777
     - type: recall_at_5
       value: 40.527
-    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: 17.629
@@ -1668,14 +1674,14 @@ model-index:
       value: 16.329
     - type: recall_at_5
       value: 20.561
-    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: 11.477
@@ -1959,14 +1965,14 @@ model-index:
       value: 10.395
     - type: recall_at_5
       value: 12.519
-    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: 24.339
@@ -2250,14 +2256,14 @@ model-index:
       value: 22.708000000000002
     - type: recall_at_5
       value: 27.126
-    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: 18.572
@@ -2541,27 +2547,27 @@ model-index:
       value: 17.283
     - type: recall_at_5
       value: 20.448
-    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: 20.06633333333333
     - type: ndcg_at_10
       value: 20.06633333333333
-    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: 14.771999999999998
@@ -2845,14 +2851,14 @@ model-index:
       value: 13.639000000000001
     - type: recall_at_5
       value: 17.197000000000003
-    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: 11.89
@@ -3136,14 +3142,14 @@ model-index:
       value: 11.006
     - type: recall_at_5
       value: 13.242999999999999
-    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: 17.681
@@ -3427,14 +3433,14 @@ model-index:
       value: 16.892
     - type: recall_at_5
       value: 20.104
-    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: 21.083
@@ -3718,14 +3724,14 @@ model-index:
       value: 18.917
     - type: recall_at_5
       value: 23.026
-    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: 14.978
@@ -4009,14 +4015,14 @@ model-index:
       value: 13.869000000000002
     - type: recall_at_5
       value: 17.702
-    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: 14.771999999999998
@@ -4300,14 +4306,14 @@ model-index:
       value: 10.41
     - type: recall_at_5
       value: 13.636999999999999
-    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: 22.325999999999997
@@ -4591,14 +4597,14 @@ model-index:
       value: 7.481999999999999
     - type: recall_at_5
       value: 9.869
-    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: 44.71
@@ -4608,14 +4614,14 @@ model-index:
       value: 46.99336148050091
     - type: main_score
       value: 44.71
-    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: 26.815
@@ -4899,14 +4905,14 @@ model-index:
       value: 25.728
     - type: recall_at_5
       value: 31.5
-    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: 14.184
@@ -5190,14 +5196,14 @@ model-index:
       value: 10.904
     - type: recall_at_5
       value: 13.141
-    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: 31.903
@@ -5481,14 +5487,14 @@ model-index:
       value: 26.516000000000002
     - type: recall_at_5
       value: 29.946
-    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: 70.78880000000001
@@ -5502,14 +5508,14 @@ model-index:
       value: 70.58556203674722
     - type: main_score
       value: 70.78880000000001
-    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: 32.823
@@ -5793,14 +5799,14 @@ model-index:
       value: 2.625
     - type: recall_at_5
       value: 4.593
-    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: 85.6155950752394
@@ -5810,14 +5816,14 @@ model-index:
       value: 85.62566329953071
     - type: main_score
       value: 85.6155950752394
-    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: 51.507067943456455
@@ -5827,14 +5833,14 @@ model-index:
       value: 54.70051724359958
     - type: main_score
       value: 51.507067943456455
-    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: 60.67249495628783
@@ -5844,14 +5850,14 @@ model-index:
       value: 59.4792418446047
     - type: main_score
       value: 60.67249495628783
-    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: 66.94687289845326
@@ -5861,14 +5867,14 @@ model-index:
       value: 66.7594041012024
     - type: main_score
       value: 66.94687289845326
-    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: 27.033544101894037
@@ -5876,14 +5882,14 @@ model-index:
       value: 27.033544101894037
     - type: v_measure_std
       value: 1.3875075110570252
-    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: 23.235475122772748
@@ -5891,14 +5897,14 @@ model-index:
       value: 23.235475122772748
     - type: v_measure_std
       value: 1.3669816155807724
-    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: 29.025211119858856
@@ -5918,14 +5924,14 @@ model-index:
       value: -18.006089017770165
     - type: nAUC_mrr_std
       value: -6.484973234862847
-    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: 22.613
@@ -6209,14 +6215,14 @@ model-index:
       value: 6.203
     - type: recall_at_5
       value: 7.688000000000001
-    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: 17.163999999999998
@@ -6500,14 +6506,14 @@ model-index:
       value: 15.486
     - type: recall_at_5
       value: 20.471
-    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: 78.944
@@ -6791,14 +6797,14 @@ model-index:
       value: 77.594
     - type: recall_at_5
       value: 82.431
-    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: 37.24085606808143
@@ -6806,14 +6812,14 @@ model-index:
       value: 37.24085606808143
     - type: v_measure_std
       value: 4.75871654527573
-    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: 44.53294634700315
@@ -6821,14 +6827,14 @@ model-index:
       value: 44.53294634700315
     - type: v_measure_std
       value: 11.281270481309583
-    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: 10.975999999999999
@@ -7112,14 +7118,14 @@ model-index:
       value: 6.008
     - type: recall_at_5
       value: 8.187999999999999
-    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: 75.3765633045698
@@ -7139,14 +7145,14 @@ model-index:
       value: 75.3765633045698
     - type: spearman
       value: 63.98613448451591
-    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: 72.15434642732643
@@ -7166,14 +7172,14 @@ model-index:
       value: 72.15434642732643
     - type: spearman
       value: 62.37621006422606
-    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: 75.8217088748812
@@ -7193,14 +7199,14 @@ model-index:
       value: 75.8217088748812
     - type: spearman
       value: 76.81750749576634
-    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: 75.44045207503216
@@ -7220,14 +7226,14 @@ model-index:
       value: 75.44045207503216
     - type: spearman
       value: 70.98200491385815
-    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: 77.94210244961548
@@ -7247,14 +7253,14 @@ model-index:
       value: 77.94210244961548
     - type: spearman
       value: 78.66432028882325
-    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: 74.09988267613177
@@ -7274,14 +7280,14 @@ model-index:
       value: 74.09988267613177
     - type: spearman
       value: 75.09842774068727
-    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: 14.399972034167586
@@ -7301,14 +7307,14 @@ model-index:
       value: 14.399972034167586
     - type: spearman
       value: 11.974036233167949
-    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: 0.48735904843064204
@@ -7328,14 +7334,14 @@ model-index:
       value: 0.48735904843064204
     - type: spearman
       value: -0.5586853869425744
-    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: 83.08779566633636
@@ -7355,14 +7361,14 @@ model-index:
       value: 83.08779566633636
     - type: spearman
       value: 84.49159199501017
-    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: 28.253544786263518
@@ -7382,14 +7388,14 @@ model-index:
       value: 28.253544786263518
     - type: spearman
       value: 24.619138389390237
-    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: 32.599578555181466
@@ -7409,14 +7415,14 @@ model-index:
       value: 32.599578555181466
     - type: spearman
       value: 31.33358514527386
-    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: 23.75577872956453
@@ -7436,14 +7442,14 @@ model-index:
       value: 23.75577872956453
     - type: spearman
       value: 21.321554136347544
-    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: 27.69563703760355
@@ -7463,14 +7469,14 @@ model-index:
       value: 27.69563703760355
     - type: spearman
       value: 24.76336397535317
-    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: 16.346177540651276
@@ -7490,14 +7496,14 @@ model-index:
       value: 16.346177540651276
     - type: spearman
       value: 13.601344161361006
-    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: 8.721258908976726
@@ -7517,14 +7523,14 @@ model-index:
       value: 8.721258908976726
     - type: spearman
       value: 18.35245351814682
-    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: 11.49126181142697
@@ -7544,14 +7550,14 @@ model-index:
       value: 11.49126181142697
     - type: spearman
       value: 16.21762340764813
-    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: 26.168037910219216
@@ -7571,14 +7577,14 @@ model-index:
       value: 26.168037910219216
     - type: spearman
       value: 31.68384203851073
-    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: 9.071484790364082
@@ -7598,14 +7604,14 @@ model-index:
       value: 9.071484790364082
     - type: spearman
       value: 9.726488833098573
-    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: 58.835618895152855
@@ -7625,14 +7631,14 @@ model-index:
       value: 58.835618895152855
     - type: spearman
       value: 63.35773898104199
-    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: 75.85762627227177
@@ -7652,14 +7658,14 @@ model-index:
       value: 75.85762627227177
     - type: spearman
       value: 74.28444387078392
-    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: 70.28519419296406
@@ -7679,14 +7685,14 @@ model-index:
       value: 74.99462642243834
     - type: nAUC_mrr_std
       value: 71.03708831031823
-    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: 46.039
@@ -7970,14 +7976,14 @@ model-index:
       value: 44.806000000000004
     - type: recall_at_5
       value: 52.111
-    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: 99.71188118811881
@@ -8061,14 +8067,14 @@ model-index:
       value: 86.43371017471738
     - type: similarity_recall
       value: 84.1
-    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: 45.28623588344632
@@ -8076,14 +8082,14 @@ model-index:
       value: 45.28623588344632
     - type: v_measure_std
       value: 3.699756512710844
-    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: 31.36188637863386
@@ -8091,14 +8097,14 @@ model-index:
       value: 31.36188637863386
     - type: v_measure_std
       value: 1.479842367330655
-    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: 41.90071199374392
@@ -8118,14 +8124,14 @@ model-index:
       value: 14.254825331290972
     - type: nAUC_mrr_std
       value: 4.529615444769097
-    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: 30.390849690222034
@@ -8141,14 +8147,14 @@ model-index:
       value: 30.390849690222034
     - type: spearman
       value: 28.891662569282467
-    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: 43.236000000000004
@@ -8432,14 +8438,14 @@ model-index:
       value: 0.38
     - type: recall_at_5
       value: 0.598
-    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: 15.369
@@ -8723,14 +8729,14 @@ model-index:
       value: 3.7379999999999995
     - type: recall_at_5
       value: 6.2170000000000005
-    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: 67.724609375
@@ -8744,14 +8750,14 @@ model-index:
       value: 74.90031680337547
     - type: main_score
       value: 67.724609375
-    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: 54.20486700622524
@@ -8761,14 +8767,14 @@ model-index:
       value: 53.770651858268025
     - type: main_score
       value: 54.20486700622524
-    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: 31.416458059499856
@@ -8776,14 +8782,14 @@ model-index:
       value: 31.416458059499856
     - type: v_measure_std
       value: 1.7923550883286548
-    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: 81.09912380044108
@@ -8867,14 +8873,14 @@ model-index:
       value: 47.37899176541474
     - type: similarity_recall
       value: 62.24274406332454
-    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: 86.66123336049986
@@ -8958,13 +8964,6 @@ model-index:
       value: 69.54226574980899
     - type: similarity_recall
       value: 77.08654142285187
-    task:
-      type: PairClassification
-model_name: potion-base-4M
-tags:
-- embeddings
-- static-embeddings
-- mteb
 ---
 
 # potion-base-4M Model Card