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README.md

@@ -4,21 +4,15 @@ language:
 - en
 library_name: model2vec
 license: mit
-tags:
-- embeddings
-- static-embeddings
-- mteb
 model-index:
 - name: M2V_base_glove_subword
   results:
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB AmazonCounterfactualClassification (en-ext)
-      type: mteb/amazon_counterfactual
+  - dataset:
       config: en-ext
-      split: test
+      name: MTEB AmazonCounterfactualClassification (en-ext)
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+      split: test
+      type: mteb/amazon_counterfactual
     metrics:
     - type: accuracy
       value: 66.4167916041979
@@ -32,14 +26,14 @@ model-index:
       value: 72.84623161234782
     - type: main_score
       value: 66.4167916041979
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB AmazonCounterfactualClassification (en)
-      type: mteb/amazon_counterfactual
+  - dataset:
       config: en
-      split: test
+      name: MTEB AmazonCounterfactualClassification (en)
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+      split: test
+      type: mteb/amazon_counterfactual
     metrics:
     - type: accuracy
       value: 68.044776119403
@@ -53,14 +47,14 @@ model-index:
       value: 71.2243167389672
     - type: main_score
       value: 68.044776119403
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB AmazonPolarityClassification (default)
-      type: mteb/amazon_polarity
+  - dataset:
       config: default
-      split: test
+      name: MTEB AmazonPolarityClassification (default)
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+      split: test
+      type: mteb/amazon_polarity
     metrics:
     - type: accuracy
       value: 67.21602499999999
@@ -74,14 +68,14 @@ model-index:
       value: 66.68107362746888
     - type: main_score
       value: 67.21602499999999
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB AmazonReviewsClassification (en)
-      type: mteb/amazon_reviews_multi
+  - dataset:
       config: en
-      split: test
+      name: MTEB AmazonReviewsClassification (en)
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+      split: test
+      type: mteb/amazon_reviews_multi
     metrics:
     - type: accuracy
       value: 32.384
@@ -91,14 +85,14 @@ model-index:
       value: 32.05276706247388
     - type: main_score
       value: 32.384
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB ArguAna (default)
-      type: mteb/arguana
+    task:
+      type: Classification
+  - dataset:
       config: default
-      split: test
+      name: MTEB ArguAna (default)
       revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+      split: test
+      type: mteb/arguana
     metrics:
     - type: main_score
       value: 29.599999999999998
@@ -382,14 +376,14 @@ model-index:
       value: 28.733999999999998
     - type: recall_at_5
       value: 36.131
-  - task:
-      type: Clustering
-    dataset:
-      name: MTEB ArxivClusteringP2P (default)
-      type: mteb/arxiv-clustering-p2p
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB ArxivClusteringP2P (default)
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+      split: test
+      type: mteb/arxiv-clustering-p2p
     metrics:
     - type: main_score
       value: 35.46255145204994
@@ -397,14 +391,14 @@ model-index:
       value: 35.46255145204994
     - type: v_measure_std
       value: 14.146815377034603
-  - task:
+    task:
       type: Clustering
-    dataset:
-      name: MTEB ArxivClusteringS2S (default)
-      type: mteb/arxiv-clustering-s2s
+  - dataset:
       config: default
-      split: test
+      name: MTEB ArxivClusteringS2S (default)
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+      split: test
+      type: mteb/arxiv-clustering-s2s
     metrics:
     - type: main_score
       value: 26.34189987196252
@@ -412,14 +406,14 @@ model-index:
       value: 26.34189987196252
     - type: v_measure_std
       value: 14.798697652139317
-  - task:
-      type: Reranking
-    dataset:
-      name: MTEB AskUbuntuDupQuestions (default)
-      type: mteb/askubuntudupquestions-reranking
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB AskUbuntuDupQuestions (default)
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+      split: test
+      type: mteb/askubuntudupquestions-reranking
     metrics:
     - type: main_score
       value: 52.85912447389551
@@ -439,14 +433,14 @@ model-index:
       value: 19.44964881732576
     - type: nAUC_mrr_std
       value: 9.313450884539453
-  - task:
-      type: STS
-    dataset:
-      name: MTEB BIOSSES (default)
-      type: mteb/biosses-sts
+    task:
+      type: Reranking
+  - dataset:
       config: default
-      split: test
+      name: MTEB BIOSSES (default)
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
     metrics:
     - type: cosine_pearson
       value: 73.38282679412139
@@ -466,14 +460,14 @@ model-index:
       value: 73.38282679412139
     - type: spearman
       value: 75.59389113278942
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB Banking77Classification (default)
-      type: mteb/banking77
+    task:
+      type: STS
+  - dataset:
       config: default
-      split: test
+      name: MTEB Banking77Classification (default)
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+      split: test
+      type: mteb/banking77
     metrics:
     - type: accuracy
       value: 71.38636363636363
@@ -483,14 +477,14 @@ model-index:
       value: 71.55994805461263
     - type: main_score
       value: 71.38636363636363
-  - task:
-      type: Clustering
-    dataset:
-      name: MTEB BiorxivClusteringP2P (default)
-      type: mteb/biorxiv-clustering-p2p
+    task:
+      type: Classification
+  - dataset:
       config: default
-      split: test
+      name: MTEB BiorxivClusteringP2P (default)
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+      split: test
+      type: mteb/biorxiv-clustering-p2p
     metrics:
     - type: main_score
       value: 31.47309865069476
@@ -498,14 +492,14 @@ model-index:
       value: 31.47309865069476
     - type: v_measure_std
       value: 0.6360736715097297
-  - task:
+    task:
       type: Clustering
-    dataset:
-      name: MTEB BiorxivClusteringS2S (default)
-      type: mteb/biorxiv-clustering-s2s
+  - dataset:
       config: default
-      split: test
+      name: MTEB BiorxivClusteringS2S (default)
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+      split: test
+      type: mteb/biorxiv-clustering-s2s
     metrics:
     - type: main_score
       value: 22.58199120148109
@@ -513,14 +507,14 @@ model-index:
       value: 22.58199120148109
     - type: v_measure_std
       value: 1.1055877138914942
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB CQADupstackAndroidRetrieval (default)
-      type: mteb/cqadupstack-android
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackAndroidRetrieval (default)
       revision: f46a197baaae43b4f621051089b82a364682dfeb
+      split: test
+      type: mteb/cqadupstack-android
     metrics:
     - type: main_score
       value: 28.518
@@ -804,14 +798,14 @@ model-index:
       value: 26.183
     - type: recall_at_5
       value: 30.653000000000002
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackEnglishRetrieval (default)
-      type: mteb/cqadupstack-english
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackEnglishRetrieval (default)
       revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+      split: test
+      type: mteb/cqadupstack-english
     metrics:
     - type: main_score
       value: 24.698999999999998
@@ -1095,14 +1089,14 @@ model-index:
       value: 23.247999999999998
     - type: recall_at_5
       value: 25.611
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackGamingRetrieval (default)
-      type: mteb/cqadupstack-gaming
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackGamingRetrieval (default)
       revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+      split: test
+      type: mteb/cqadupstack-gaming
     metrics:
     - type: main_score
       value: 34.837
@@ -1386,14 +1380,14 @@ model-index:
       value: 33.351
     - type: recall_at_5
       value: 39.345
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackGisRetrieval (default)
-      type: mteb/cqadupstack-gis
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackGisRetrieval (default)
       revision: 5003b3064772da1887988e05400cf3806fe491f2
+      split: test
+      type: mteb/cqadupstack-gis
     metrics:
     - type: main_score
       value: 15.889000000000001
@@ -1677,14 +1671,14 @@ model-index:
       value: 15.383
     - type: recall_at_5
       value: 18.174
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackMathematicaRetrieval (default)
-      type: mteb/cqadupstack-mathematica
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackMathematicaRetrieval (default)
       revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+      split: test
+      type: mteb/cqadupstack-mathematica
     metrics:
     - type: main_score
       value: 11.0
@@ -1968,14 +1962,14 @@ model-index:
       value: 9.735000000000001
     - type: recall_at_5
       value: 12.595999999999998
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackPhysicsRetrieval (default)
-      type: mteb/cqadupstack-physics
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackPhysicsRetrieval (default)
       revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+      split: test
+      type: mteb/cqadupstack-physics
     metrics:
     - type: main_score
       value: 22.671
@@ -2259,14 +2253,14 @@ model-index:
       value: 21.583
     - type: recall_at_5
       value: 24.937
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackProgrammersRetrieval (default)
-      type: mteb/cqadupstack-programmers
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackProgrammersRetrieval (default)
       revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+      split: test
+      type: mteb/cqadupstack-programmers
     metrics:
     - type: main_score
       value: 16.306
@@ -2550,27 +2544,27 @@ model-index:
       value: 14.935
     - type: recall_at_5
       value: 17.862000000000002
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackRetrieval (default)
-      type: CQADupstackRetrieval_is_a_combined_dataset
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackRetrieval (default)
       revision: CQADupstackRetrieval_is_a_combined_dataset
+      split: test
+      type: CQADupstackRetrieval_is_a_combined_dataset
     metrics:
     - type: main_score
       value: 19.211500000000004
     - type: ndcg_at_10
       value: 19.211500000000004
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackStatsRetrieval (default)
-      type: mteb/cqadupstack-stats
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackStatsRetrieval (default)
       revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+      split: test
+      type: mteb/cqadupstack-stats
     metrics:
     - type: main_score
       value: 13.274
@@ -2854,14 +2848,14 @@ model-index:
       value: 12.113999999999999
     - type: recall_at_5
       value: 14.371
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackTexRetrieval (default)
-      type: mteb/cqadupstack-tex
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackTexRetrieval (default)
       revision: 46989137a86843e03a6195de44b09deda022eec7
+      split: test
+      type: mteb/cqadupstack-tex
     metrics:
     - type: main_score
       value: 10.994
@@ -3145,14 +3139,14 @@ model-index:
       value: 10.381
     - type: recall_at_5
       value: 12.354999999999999
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackUnixRetrieval (default)
-      type: mteb/cqadupstack-unix
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackUnixRetrieval (default)
       revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+      split: test
+      type: mteb/cqadupstack-unix
     metrics:
     - type: main_score
       value: 17.415
@@ -3436,14 +3430,14 @@ model-index:
       value: 16.458000000000002
     - type: recall_at_5
       value: 18.087
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackWebmastersRetrieval (default)
-      type: mteb/cqadupstack-webmasters
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackWebmastersRetrieval (default)
       revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+      split: test
+      type: mteb/cqadupstack-webmasters
     metrics:
     - type: main_score
       value: 21.398
@@ -3727,14 +3721,14 @@ model-index:
       value: 20.148
     - type: recall_at_5
       value: 23.296
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB CQADupstackWordpressRetrieval (default)
-      type: mteb/cqadupstack-wordpress
+  - dataset:
       config: default
-      split: test
+      name: MTEB CQADupstackWordpressRetrieval (default)
       revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+      split: test
+      type: mteb/cqadupstack-wordpress
     metrics:
     - type: main_score
       value: 13.536999999999999
@@ -4018,14 +4012,14 @@ model-index:
       value: 12.187000000000001
     - type: recall_at_5
       value: 14.868
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB ClimateFEVER (default)
-      type: mteb/climate-fever
+  - dataset:
       config: default
-      split: test
+      name: MTEB ClimateFEVER (default)
       revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+      split: test
+      type: mteb/climate-fever
     metrics:
     - type: main_score
       value: 14.015
@@ -4309,14 +4303,14 @@ model-index:
       value: 9.713
     - type: recall_at_5
       value: 12.415
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB DBPedia (default)
-      type: mteb/dbpedia
+  - dataset:
       config: default
-      split: test
+      name: MTEB DBPedia (default)
       revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+      split: test
+      type: mteb/dbpedia
     metrics:
     - type: main_score
       value: 19.899
@@ -4600,14 +4594,14 @@ model-index:
       value: 6.425
     - type: recall_at_5
       value: 8.818
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB EmotionClassification (default)
-      type: mteb/emotion
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB EmotionClassification (default)
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+      split: test
+      type: mteb/emotion
     metrics:
     - type: accuracy
       value: 38.339999999999996
@@ -4617,14 +4611,14 @@ model-index:
       value: 40.51989104726522
     - type: main_score
       value: 38.339999999999996
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB FEVER (default)
-      type: mteb/fever
+    task:
+      type: Classification
+  - dataset:
       config: default
-      split: test
+      name: MTEB FEVER (default)
       revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+      split: test
+      type: mteb/fever
     metrics:
     - type: main_score
       value: 25.006
@@ -4908,14 +4902,14 @@ model-index:
       value: 24.082
     - type: recall_at_5
       value: 29.563
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB FiQA2018 (default)
-      type: mteb/fiqa
+  - dataset:
       config: default
-      split: test
+      name: MTEB FiQA2018 (default)
       revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+      split: test
+      type: mteb/fiqa
     metrics:
     - type: main_score
       value: 11.167
@@ -5199,14 +5193,14 @@ model-index:
       value: 8.863999999999999
     - type: recall_at_5
       value: 11.354000000000001
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB HotpotQA (default)
-      type: mteb/hotpotqa
+  - dataset:
       config: default
-      split: test
+      name: MTEB HotpotQA (default)
       revision: ab518f4d6fcca38d87c25209f94beba119d02014
+      split: test
+      type: mteb/hotpotqa
     metrics:
     - type: main_score
       value: 30.837999999999997
@@ -5490,14 +5484,14 @@ model-index:
       value: 25.779999999999998
     - type: recall_at_5
       value: 29.250999999999998
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB ImdbClassification (default)
-      type: mteb/imdb
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB ImdbClassification (default)
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+      split: test
+      type: mteb/imdb
     metrics:
     - type: accuracy
       value: 66.5616
@@ -5511,14 +5505,14 @@ model-index:
       value: 66.15361405073978
     - type: main_score
       value: 66.5616
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB MSMARCO (default)
-      type: mteb/msmarco
+    task:
+      type: Classification
+  - dataset:
       config: default
-      split: test
+      name: MTEB MSMARCO (default)
       revision: c5a29a104738b98a9e76336939199e264163d4a0
+      split: test
+      type: mteb/msmarco
     metrics:
     - type: main_score
       value: 28.034
@@ -5802,14 +5796,14 @@ model-index:
       value: 2.138
     - type: recall_at_5
       value: 3.3770000000000002
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB MTOPDomainClassification (en)
-      type: mteb/mtop_domain
+    task:
+      type: Retrieval
+  - dataset:
       config: en
-      split: test
+      name: MTEB MTOPDomainClassification (en)
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+      split: test
+      type: mteb/mtop_domain
     metrics:
     - type: accuracy
       value: 84.81988144094848
@@ -5819,14 +5813,14 @@ model-index:
       value: 84.95181538630469
     - type: main_score
       value: 84.81988144094848
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB MTOPIntentClassification (en)
-      type: mteb/mtop_intent
+  - dataset:
       config: en
-      split: test
+      name: MTEB MTOPIntentClassification (en)
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+      split: test
+      type: mteb/mtop_intent
     metrics:
     - type: accuracy
       value: 62.41222070223438
@@ -5836,14 +5830,14 @@ model-index:
       value: 66.23266420473301
     - type: main_score
       value: 62.41222070223438
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB MassiveIntentClassification (en)
-      type: mteb/amazon_massive_intent
+  - dataset:
       config: en
-      split: test
+      name: MTEB MassiveIntentClassification (en)
       revision: 4672e20407010da34463acc759c162ca9734bca6
+      split: test
+      type: mteb/amazon_massive_intent
     metrics:
     - type: accuracy
       value: 62.50168123739073
@@ -5853,14 +5847,14 @@ model-index:
       value: 62.787680759907204
     - type: main_score
       value: 62.50168123739073
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB MassiveScenarioClassification (en)
-      type: mteb/amazon_massive_scenario
+  - dataset:
       config: en
-      split: test
+      name: MTEB MassiveScenarioClassification (en)
       revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
+      split: test
+      type: mteb/amazon_massive_scenario
     metrics:
     - type: accuracy
       value: 66.09280430396772
@@ -5870,14 +5864,14 @@ model-index:
       value: 66.15203456480924
     - type: main_score
       value: 66.09280430396772
-  - task:
-      type: Clustering
-    dataset:
+    task:
+      type: Classification
+  - dataset:
+      config: default
       name: MTEB MedrxivClusteringP2P (default)
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+      split: test
       type: mteb/medrxiv-clustering-p2p
-      config: default
-      split: test
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: main_score
       value: 26.932942933622616
@@ -5885,14 +5879,14 @@ model-index:
       value: 26.932942933622616
     - type: v_measure_std
       value: 1.593124055965666
-  - task:
+    task:
       type: Clustering
-    dataset:
-      name: MTEB MedrxivClusteringS2S (default)
-      type: mteb/medrxiv-clustering-s2s
+  - dataset:
       config: default
-      split: test
+      name: MTEB MedrxivClusteringS2S (default)
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+      split: test
+      type: mteb/medrxiv-clustering-s2s
     metrics:
     - type: main_score
       value: 22.9594415386389
@@ -5900,14 +5894,14 @@ model-index:
       value: 22.9594415386389
     - type: v_measure_std
       value: 1.2719806552652395
-  - task:
-      type: Reranking
-    dataset:
-      name: MTEB MindSmallReranking (default)
-      type: mteb/mind_small
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB MindSmallReranking (default)
       revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
+      split: test
+      type: mteb/mind_small
     metrics:
     - type: main_score
       value: 28.527234738258063
@@ -5927,14 +5921,14 @@ model-index:
       value: -26.591327847291947
     - type: nAUC_mrr_std
       value: -11.52072949105865
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB NFCorpus (default)
-      type: mteb/nfcorpus
+    task:
+      type: Reranking
+  - dataset:
       config: default
-      split: test
+      name: MTEB NFCorpus (default)
       revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+      split: test
+      type: mteb/nfcorpus
     metrics:
     - type: main_score
       value: 23.318
@@ -6218,14 +6212,14 @@ model-index:
       value: 6.773999999999999
     - type: recall_at_5
       value: 8.713
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB NQ (default)
-      type: mteb/nq
+  - dataset:
       config: default
-      split: test
+      name: MTEB NQ (default)
       revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+      split: test
+      type: mteb/nq
     metrics:
     - type: main_score
       value: 17.682000000000002
@@ -6509,14 +6503,14 @@ model-index:
       value: 16.338
     - type: recall_at_5
       value: 21.217
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB QuoraRetrieval (default)
-      type: mteb/quora
+  - dataset:
       config: default
-      split: test
+      name: MTEB QuoraRetrieval (default)
       revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+      split: test
+      type: mteb/quora
     metrics:
     - type: main_score
       value: 74.323
@@ -6800,14 +6794,14 @@ model-index:
       value: 73.137
     - type: recall_at_5
       value: 78.655
-  - task:
-      type: Clustering
-    dataset:
-      name: MTEB RedditClustering (default)
-      type: mteb/reddit-clustering
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB RedditClustering (default)
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+      split: test
+      type: mteb/reddit-clustering
     metrics:
     - type: main_score
       value: 28.89014544508522
@@ -6815,14 +6809,14 @@ model-index:
       value: 28.89014544508522
     - type: v_measure_std
       value: 4.477854992673074
-  - task:
+    task:
       type: Clustering
-    dataset:
-      name: MTEB RedditClusteringP2P (default)
-      type: mteb/reddit-clustering-p2p
+  - dataset:
       config: default
-      split: test
+      name: MTEB RedditClusteringP2P (default)
       revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+      split: test
+      type: mteb/reddit-clustering-p2p
     metrics:
     - type: main_score
       value: 41.588064041506414
@@ -6830,14 +6824,14 @@ model-index:
       value: 41.588064041506414
     - type: v_measure_std
       value: 12.234957713539355
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB SCIDOCS (default)
-      type: mteb/scidocs
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB SCIDOCS (default)
       revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+      split: test
+      type: mteb/scidocs
     metrics:
     - type: main_score
       value: 9.923
@@ -7121,14 +7115,14 @@ model-index:
       value: 5.295
     - type: recall_at_5
       value: 7.37
-  - task:
-      type: STS
-    dataset:
-      name: MTEB SICK-R (default)
-      type: mteb/sickr-sts
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB SICK-R (default)
       revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
     metrics:
     - type: cosine_pearson
       value: 75.0950047498747
@@ -7148,14 +7142,14 @@ model-index:
       value: 75.0950047498747
     - type: spearman
       value: 66.17240782538595
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS12 (default)
-      type: mteb/sts12-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STS12 (default)
       revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
     metrics:
     - type: cosine_pearson
       value: 70.27191745166907
@@ -7175,14 +7169,14 @@ model-index:
       value: 70.27191745166907
     - type: spearman
       value: 61.89139464648924
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS13 (default)
-      type: mteb/sts13-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STS13 (default)
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
     metrics:
     - type: cosine_pearson
       value: 70.19582039979868
@@ -7202,14 +7196,14 @@ model-index:
       value: 70.19582039979868
     - type: spearman
       value: 71.66792475528088
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS14 (default)
-      type: mteb/sts14-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STS14 (default)
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
     metrics:
     - type: cosine_pearson
       value: 69.52140108419252
@@ -7229,14 +7223,14 @@ model-index:
       value: 69.52140108419252
     - type: spearman
       value: 67.82634222687376
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS15 (default)
-      type: mteb/sts15-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STS15 (default)
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
     metrics:
     - type: cosine_pearson
       value: 73.66221619412464
@@ -7256,14 +7250,14 @@ model-index:
       value: 73.66221619412464
     - type: spearman
       value: 75.48765072240437
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS16 (default)
-      type: mteb/sts16-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STS16 (default)
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
     metrics:
     - type: cosine_pearson
       value: 62.328630460915925
@@ -7283,14 +7277,14 @@ model-index:
       value: 62.328630460915925
     - type: spearman
       value: 66.48155706668948
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (fr-en)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: fr-en
-      split: test
+      name: MTEB STS17 (fr-en)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 21.344883409729785
@@ -7310,14 +7304,14 @@ model-index:
       value: 21.344883409729785
     - type: spearman
       value: 19.492480027372526
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (es-en)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: es-en
-      split: test
+      name: MTEB STS17 (es-en)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 14.966581838953037
@@ -7337,14 +7331,14 @@ model-index:
       value: 14.966581838953037
     - type: spearman
       value: 13.24509138766898
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (nl-en)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: nl-en
-      split: test
+      name: MTEB STS17 (nl-en)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 18.309414985775234
@@ -7364,14 +7358,14 @@ model-index:
       value: 18.309414985775234
     - type: spearman
       value: 14.341489363671842
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (en-de)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: en-de
-      split: test
+      name: MTEB STS17 (en-de)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 21.301586456013037
@@ -7391,14 +7385,14 @@ model-index:
       value: 21.301586456013037
     - type: spearman
       value: 22.571419522164376
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (it-en)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: it-en
-      split: test
+      name: MTEB STS17 (it-en)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 16.140292893693204
@@ -7418,14 +7412,14 @@ model-index:
       value: 16.140292893693204
     - type: spearman
       value: 10.216376215477217
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (en-en)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: en-en
-      split: test
+      name: MTEB STS17 (en-en)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 78.42242639560023
@@ -7445,14 +7439,14 @@ model-index:
       value: 78.42242639560023
     - type: spearman
       value: 80.2472005970173
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (en-ar)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: en-ar
-      split: test
+      name: MTEB STS17 (en-ar)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: -5.762967943082491
@@ -7472,14 +7466,14 @@ model-index:
       value: -5.762967943082491
     - type: spearman
       value: -6.184248227377756
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS17 (en-tr)
-      type: mteb/sts17-crosslingual-sts
+  - dataset:
       config: en-tr
-      split: test
+      name: MTEB STS17 (en-tr)
       revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: -8.666319610669559
@@ -7499,14 +7493,14 @@ model-index:
       value: -8.666319610669559
     - type: spearman
       value: -10.0877070299522
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS22 (es-en)
-      type: mteb/sts22-crosslingual-sts
+  - dataset:
       config: es-en
-      split: test
+      name: MTEB STS22 (es-en)
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 16.880423266497427
@@ -7526,14 +7520,14 @@ model-index:
       value: 16.880423266497427
     - type: spearman
       value: 18.497107178067477
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS22 (en)
-      type: mteb/sts22-crosslingual-sts
+  - dataset:
       config: en
-      split: test
+      name: MTEB STS22 (en)
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 44.98861387948161
@@ -7553,14 +7547,14 @@ model-index:
       value: 44.98861387948161
     - type: spearman
       value: 59.04270974068145
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS22 (de-en)
-      type: mteb/sts22-crosslingual-sts
+  - dataset:
       config: de-en
-      split: test
+      name: MTEB STS22 (de-en)
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 26.505168004689462
@@ -7580,14 +7574,14 @@ model-index:
       value: 26.505168004689462
     - type: spearman
       value: 28.591720613248732
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS22 (zh-en)
-      type: mteb/sts22-crosslingual-sts
+  - dataset:
       config: zh-en
-      split: test
+      name: MTEB STS22 (zh-en)
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 11.552622364692777
@@ -7607,14 +7601,14 @@ model-index:
       value: 11.552622364692777
     - type: spearman
       value: 10.973019756392695
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STS22 (pl-en)
-      type: mteb/sts22-crosslingual-sts
+  - dataset:
       config: pl-en
-      split: test
+      name: MTEB STS22 (pl-en)
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_pearson
       value: 10.466988163502029
@@ -7634,14 +7628,14 @@ model-index:
       value: 10.466988163502029
     - type: spearman
       value: -0.21879166839686814
-  - task:
+    task:
       type: STS
-    dataset:
-      name: MTEB STSBenchmark (default)
-      type: mteb/stsbenchmark-sts
+  - dataset:
       config: default
-      split: test
+      name: MTEB STSBenchmark (default)
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
     metrics:
     - type: cosine_pearson
       value: 66.80057012864974
@@ -7661,14 +7655,14 @@ model-index:
       value: 66.80057012864974
     - type: spearman
       value: 66.52235871936412
-  - task:
-      type: Reranking
-    dataset:
-      name: MTEB SciDocsRR (default)
-      type: mteb/scidocs-reranking
+    task:
+      type: STS
+  - dataset:
       config: default
-      split: test
+      name: MTEB SciDocsRR (default)
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+      split: test
+      type: mteb/scidocs-reranking
     metrics:
     - type: main_score
       value: 71.11074203128574
@@ -7688,14 +7682,14 @@ model-index:
       value: 72.52180244204617
     - type: nAUC_mrr_std
       value: 64.6185657337566
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB SciFact (default)
-      type: mteb/scifact
+    task:
+      type: Reranking
+  - dataset:
       config: default
-      split: test
+      name: MTEB SciFact (default)
       revision: 0228b52cf27578f30900b9e5271d331663a030d7
+      split: test
+      type: mteb/scifact
     metrics:
     - type: main_score
       value: 50.663000000000004
@@ -7979,14 +7973,14 @@ model-index:
       value: 52.983000000000004
     - type: recall_at_5
       value: 58.428000000000004
-  - task:
-      type: PairClassification
-    dataset:
-      name: MTEB SprintDuplicateQuestions (default)
-      type: mteb/sprintduplicatequestions-pairclassification
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB SprintDuplicateQuestions (default)
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+      split: test
+      type: mteb/sprintduplicatequestions-pairclassification
     metrics:
     - type: cosine_accuracy
       value: 99.6029702970297
@@ -8070,14 +8064,14 @@ model-index:
       value: 78.80597014925374
     - type: similarity_recall
       value: 79.2
-  - task:
-      type: Clustering
-    dataset:
-      name: MTEB StackExchangeClustering (default)
-      type: mteb/stackexchange-clustering
+    task:
+      type: PairClassification
+  - dataset:
       config: default
-      split: test
+      name: MTEB StackExchangeClustering (default)
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+      split: test
+      type: mteb/stackexchange-clustering
     metrics:
     - type: main_score
       value: 40.01875953666112
@@ -8085,14 +8079,14 @@ model-index:
       value: 40.01875953666112
     - type: v_measure_std
       value: 4.519991014119391
-  - task:
+    task:
       type: Clustering
-    dataset:
-      name: MTEB StackExchangeClusteringP2P (default)
-      type: mteb/stackexchange-clustering-p2p
+  - dataset:
       config: default
-      split: test
+      name: MTEB StackExchangeClusteringP2P (default)
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+      split: test
+      type: mteb/stackexchange-clustering-p2p
     metrics:
     - type: main_score
       value: 28.81354037080584
@@ -8100,14 +8094,14 @@ model-index:
       value: 28.81354037080584
     - type: v_measure_std
       value: 1.4144350664362755
-  - task:
-      type: Reranking
-    dataset:
-      name: MTEB StackOverflowDupQuestions (default)
-      type: mteb/stackoverflowdupquestions-reranking
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB StackOverflowDupQuestions (default)
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+      split: test
+      type: mteb/stackoverflowdupquestions-reranking
     metrics:
     - type: main_score
       value: 44.09716409649705
@@ -8127,14 +8121,14 @@ model-index:
       value: 17.207604918830953
     - type: nAUC_mrr_std
       value: 6.664790258906265
-  - task:
-      type: Summarization
-    dataset:
-      name: MTEB SummEval (default)
-      type: mteb/summeval
+    task:
+      type: Reranking
+  - dataset:
       config: default
-      split: test
+      name: MTEB SummEval (default)
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
     metrics:
     - type: cosine_pearson
       value: 29.294245469087553
@@ -8150,14 +8144,14 @@ model-index:
       value: 29.294245469087553
     - type: spearman
       value: 30.080488918284974
-  - task:
-      type: Retrieval
-    dataset:
-      name: MTEB TRECCOVID (default)
-      type: mteb/trec-covid
+    task:
+      type: Summarization
+  - dataset:
       config: default
-      split: test
+      name: MTEB TRECCOVID (default)
       revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+      split: test
+      type: mteb/trec-covid
     metrics:
     - type: main_score
       value: 39.983999999999995
@@ -8441,14 +8435,14 @@ model-index:
       value: 0.302
     - type: recall_at_5
       value: 0.482
-  - task:
+    task:
       type: Retrieval
-    dataset:
-      name: MTEB Touche2020 (default)
-      type: mteb/touche2020
+  - dataset:
       config: default
-      split: test
+      name: MTEB Touche2020 (default)
       revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+      split: test
+      type: mteb/touche2020
     metrics:
     - type: main_score
       value: 13.753000000000002
@@ -8732,14 +8726,14 @@ model-index:
       value: 3.024
     - type: recall_at_5
       value: 4.776
-  - task:
-      type: Classification
-    dataset:
-      name: MTEB ToxicConversationsClassification (default)
-      type: mteb/toxic_conversations_50k
+    task:
+      type: Retrieval
+  - dataset:
       config: default
-      split: test
+      name: MTEB ToxicConversationsClassification (default)
       revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+      split: test
+      type: mteb/toxic_conversations_50k
     metrics:
     - type: accuracy
       value: 65.6884765625
@@ -8753,14 +8747,14 @@ model-index:
       value: 73.34420433686675
     - type: main_score
       value: 65.6884765625
-  - task:
+    task:
       type: Classification
-    dataset:
-      name: MTEB TweetSentimentExtractionClassification (default)
-      type: mteb/tweet_sentiment_extraction
+  - dataset:
       config: default
-      split: test
+      name: MTEB TweetSentimentExtractionClassification (default)
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+      split: test
+      type: mteb/tweet_sentiment_extraction
     metrics:
     - type: accuracy
       value: 49.83305036785513
@@ -8770,14 +8764,14 @@ model-index:
       value: 49.32130156716104
     - type: main_score
       value: 49.83305036785513
-  - task:
-      type: Clustering
-    dataset:
-      name: MTEB TwentyNewsgroupsClustering (default)
-      type: mteb/twentynewsgroups-clustering
+    task:
+      type: Classification
+  - dataset:
       config: default
-      split: test
+      name: MTEB TwentyNewsgroupsClustering (default)
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+      split: test
+      type: mteb/twentynewsgroups-clustering
     metrics:
     - type: main_score
       value: 25.27920179659098
@@ -8785,14 +8779,14 @@ model-index:
       value: 25.27920179659098
     - type: v_measure_std
       value: 2.092324622279832
-  - task:
-      type: PairClassification
-    dataset:
-      name: MTEB TwitterSemEval2015 (default)
-      type: mteb/twittersemeval2015-pairclassification
+    task:
+      type: Clustering
+  - dataset:
       config: default
-      split: test
+      name: MTEB TwitterSemEval2015 (default)
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+      split: test
+      type: mteb/twittersemeval2015-pairclassification
     metrics:
     - type: cosine_accuracy
       value: 82.19586338439531
@@ -8876,14 +8870,14 @@ model-index:
       value: 54.3767840152236
     - type: similarity_recall
       value: 60.31662269129288
-  - task:
+    task:
       type: PairClassification
-    dataset:
-      name: MTEB TwitterURLCorpus (default)
-      type: mteb/twitterurlcorpus-pairclassification
+  - dataset:
       config: default
-      split: test
+      name: MTEB TwitterURLCorpus (default)
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+      split: test
+      type: mteb/twitterurlcorpus-pairclassification
     metrics:
     - type: cosine_accuracy
       value: 85.86758256684907
@@ -8967,6 +8961,13 @@ model-index:
       value: 69.39391707784078
     - type: similarity_recall
       value: 72.55158607945796
+    task:
+      type: PairClassification
+model_name: minishlab/M2V_base_glove_subword
+tags:
+- embeddings
+- static-embeddings
+- mteb
 ---
 
 # M2V_base_glove_subword Model Card
@@ -8987,7 +8988,7 @@ Load this model using the `from_pretrained` method:
 from model2vec import StaticModel
 
 # Load a pretrained Model2Vec model
-model = StaticModel.from_pretrained("M2V_base_glove_subword")
+model = StaticModel.from_pretrained("minishlab/M2V_base_glove_subword")
 
 # Compute text embeddings
 embeddings = model.encode(["Example sentence"])