Update README.md (#1)

- Update README.md (667a64e43e751efea937b5f3e2237c4e2a53a92c)

README.md

@@ -15,6 +15,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en)
       config: en
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 65.88059701492537
@@ -29,6 +30,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (de)
       config: de
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 59.07922912205568
@@ -43,6 +45,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en-ext)
       config: en-ext
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 64.91754122938531
@@ -57,6 +60,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (ja)
       config: ja
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 56.423982869378996
@@ -71,6 +75,7 @@ model-index:
       name: MTEB AmazonPolarityClassification
       config: default
       split: test
+      revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
     metrics:
     - type: accuracy
       value: 74.938225
@@ -85,6 +90,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (en)
       config: en
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 35.098
@@ -97,6 +103,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (de)
       config: de
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 24.516
@@ -109,6 +116,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (es)
       config: es
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 29.097999999999995
@@ -121,6 +129,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (fr)
       config: fr
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 27.395999999999997
@@ -133,6 +142,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (ja)
       config: ja
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 21.724
@@ -145,6 +155,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (zh)
       config: zh
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 23.976
@@ -157,6 +168,7 @@ model-index:
       name: MTEB ArguAna
       config: default
       split: test
+      revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
     metrics:
     - type: map_at_1
       value: 13.442000000000002
@@ -213,6 +225,7 @@ model-index:
       name: MTEB ArxivClusteringP2P
       config: default
       split: test
+      revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
     metrics:
     - type: v_measure
       value: 34.742482477870766
@@ -223,6 +236,7 @@ model-index:
       name: MTEB ArxivClusteringS2S
       config: default
       split: test
+      revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
     metrics:
     - type: v_measure
       value: 24.67870651472156
@@ -233,6 +247,7 @@ model-index:
       name: MTEB AskUbuntuDupQuestions
       config: default
       split: test
+      revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
     metrics:
     - type: map
       value: 52.63439984994702
@@ -245,6 +260,7 @@ model-index:
       name: MTEB BIOSSES
       config: default
       split: test
+      revision: 9ee918f184421b6bd48b78f6c714d86546106103
     metrics:
     - type: cos_sim_pearson
       value: 72.78000135012542
@@ -265,6 +281,7 @@ model-index:
       name: MTEB BUCC (de-en)
       config: de-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 1.0960334029227559
@@ -281,6 +298,7 @@ model-index:
       name: MTEB BUCC (fr-en)
       config: fr-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.02201188641866608
@@ -297,6 +315,7 @@ model-index:
       name: MTEB BUCC (ru-en)
       config: ru-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.0
@@ -313,6 +332,7 @@ model-index:
       name: MTEB BUCC (zh-en)
       config: zh-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.0
@@ -329,6 +349,7 @@ model-index:
       name: MTEB Banking77Classification
       config: default
       split: test
+      revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
     metrics:
     - type: accuracy
       value: 74.67857142857142
@@ -341,6 +362,7 @@ model-index:
       name: MTEB BiorxivClusteringP2P
       config: default
       split: test
+      revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
     metrics:
     - type: v_measure
       value: 28.93427045246491
@@ -351,6 +373,7 @@ model-index:
       name: MTEB BiorxivClusteringS2S
       config: default
       split: test
+      revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
     metrics:
     - type: v_measure
       value: 23.080939123955474
@@ -361,6 +384,7 @@ model-index:
       name: MTEB CQADupstackAndroidRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 18.221999999999998
@@ -417,6 +441,7 @@ model-index:
       name: MTEB CQADupstackEnglishRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 12.058
@@ -473,6 +498,7 @@ model-index:
       name: MTEB CQADupstackGamingRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 21.183
@@ -529,6 +555,7 @@ model-index:
       name: MTEB CQADupstackGisRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 11.350999999999999
@@ -585,6 +612,7 @@ model-index:
       name: MTEB CQADupstackMathematicaRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 8.08
@@ -641,6 +669,7 @@ model-index:
       name: MTEB CQADupstackPhysicsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 13.908999999999999
@@ -697,6 +726,7 @@ model-index:
       name: MTEB CQADupstackProgrammersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 12.598
@@ -753,6 +783,7 @@ model-index:
       name: MTEB CQADupstackRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 12.738416666666666
@@ -809,6 +840,7 @@ model-index:
       name: MTEB CQADupstackStatsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 12.307
@@ -865,6 +897,7 @@ model-index:
       name: MTEB CQADupstackTexRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 6.496
@@ -921,6 +954,7 @@ model-index:
       name: MTEB CQADupstackUnixRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 13.843
@@ -977,6 +1011,7 @@ model-index:
       name: MTEB CQADupstackWebmastersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 13.757
@@ -1033,6 +1068,7 @@ model-index:
       name: MTEB CQADupstackWordpressRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 9.057
@@ -1089,6 +1125,7 @@ model-index:
       name: MTEB ClimateFEVER
       config: default
       split: test
+      revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
     metrics:
     - type: map_at_1
       value: 3.714
@@ -1145,6 +1182,7 @@ model-index:
       name: MTEB DBPedia
       config: default
       split: test
+      revision: f097057d03ed98220bc7309ddb10b71a54d667d6
     metrics:
     - type: map_at_1
       value: 1.764
@@ -1201,6 +1239,7 @@ model-index:
       name: MTEB EmotionClassification
       config: default
       split: test
+      revision: 829147f8f75a25f005913200eb5ed41fae320aa1
     metrics:
     - type: accuracy
       value: 42.225
@@ -1213,6 +1252,7 @@ model-index:
       name: MTEB FEVER
       config: default
       split: test
+      revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
     metrics:
     - type: map_at_1
       value: 11.497
@@ -1269,6 +1309,7 @@ model-index:
       name: MTEB FiQA2018
       config: default
       split: test
+      revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
     metrics:
     - type: map_at_1
       value: 3.637
@@ -1325,6 +1366,7 @@ model-index:
       name: MTEB HotpotQA
       config: default
       split: test
+      revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
     metrics:
     - type: map_at_1
       value: 9.676
@@ -1381,6 +1423,7 @@ model-index:
       name: MTEB ImdbClassification
       config: default
       split: test
+      revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
     metrics:
     - type: accuracy
       value: 62.895999999999994
@@ -1395,6 +1438,7 @@ model-index:
       name: MTEB MSMARCO
       config: default
       split: validation
+      revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
     metrics:
     - type: map_at_1
       value: 2.88
@@ -1451,6 +1495,7 @@ model-index:
       name: MTEB MTOPDomainClassification (en)
       config: en
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 81.51846785225717
@@ -1463,6 +1508,7 @@ model-index:
       name: MTEB MTOPDomainClassification (de)
       config: de
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 60.37475345167653
@@ -1475,6 +1521,7 @@ model-index:
       name: MTEB MTOPDomainClassification (es)
       config: es
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 67.36824549699799
@@ -1487,6 +1534,7 @@ model-index:
       name: MTEB MTOPDomainClassification (fr)
       config: fr
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 63.12871907297212
@@ -1499,6 +1547,7 @@ model-index:
       name: MTEB MTOPDomainClassification (hi)
       config: hi
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 47.04553603442094
@@ -1511,6 +1560,7 @@ model-index:
       name: MTEB MTOPDomainClassification (th)
       config: th
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 52.282097649186255
@@ -1523,6 +1573,7 @@ model-index:
       name: MTEB MTOPIntentClassification (en)
       config: en
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 58.2421340629275
@@ -1535,6 +1586,7 @@ model-index:
       name: MTEB MTOPIntentClassification (de)
       config: de
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 45.069033530571986
@@ -1547,6 +1599,7 @@ model-index:
       name: MTEB MTOPIntentClassification (es)
       config: es
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 48.80920613742495
@@ -1559,6 +1612,7 @@ model-index:
       name: MTEB MTOPIntentClassification (fr)
       config: fr
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 44.337613529595984
@@ -1571,6 +1625,7 @@ model-index:
       name: MTEB MTOPIntentClassification (hi)
       config: hi
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 34.198637504481894
@@ -1583,6 +1638,7 @@ model-index:
       name: MTEB MTOPIntentClassification (th)
       config: th
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 43.11030741410488
@@ -1595,6 +1651,7 @@ model-index:
       name: MTEB MassiveIntentClassification (af)
       config: af
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 37.79421654337593
@@ -1607,6 +1664,7 @@ model-index:
       name: MTEB MassiveIntentClassification (am)
       config: am
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 23.722259583053127
@@ -1619,6 +1677,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ar)
       config: ar
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 29.64021519838601
@@ -1631,6 +1690,7 @@ model-index:
       name: MTEB MassiveIntentClassification (az)
       config: az
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 39.4754539340955
@@ -1643,6 +1703,7 @@ model-index:
       name: MTEB MassiveIntentClassification (bn)
       config: bn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 26.550100874243444
@@ -1655,6 +1716,7 @@ model-index:
       name: MTEB MassiveIntentClassification (cy)
       config: cy
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.78278412911904
@@ -1667,6 +1729,7 @@ model-index:
       name: MTEB MassiveIntentClassification (da)
       config: da
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 43.557498318762605
@@ -1679,6 +1742,7 @@ model-index:
       name: MTEB MassiveIntentClassification (de)
       config: de
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.39340954942838
@@ -1691,6 +1755,7 @@ model-index:
       name: MTEB MassiveIntentClassification (el)
       config: el
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 37.28648285137861
@@ -1703,6 +1768,7 @@ model-index:
       name: MTEB MassiveIntentClassification (en)
       config: en
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 58.080026899798256
@@ -1715,6 +1781,7 @@ model-index:
       name: MTEB MassiveIntentClassification (es)
       config: es
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.176866173503704
@@ -1727,6 +1794,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fa)
       config: fa
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 36.422326832548755
@@ -1739,6 +1807,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fi)
       config: fi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.75588433086752
@@ -1751,6 +1820,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fr)
       config: fr
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 43.67182246133153
@@ -1763,6 +1833,7 @@ model-index:
       name: MTEB MassiveIntentClassification (he)
       config: he
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 31.980497646267658
@@ -1775,6 +1846,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hi)
       config: hi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 28.039677202420982
@@ -1787,6 +1859,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hu)
       config: hu
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.13718897108272
@@ -1799,6 +1872,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hy)
       config: hy
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 26.05245460659045
@@ -1811,6 +1885,7 @@ model-index:
       name: MTEB MassiveIntentClassification (id)
       config: id
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.156691324815064
@@ -1823,6 +1898,7 @@ model-index:
       name: MTEB MassiveIntentClassification (is)
       config: is
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.62811028917284
@@ -1835,6 +1911,7 @@ model-index:
       name: MTEB MassiveIntentClassification (it)
       config: it
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 44.0383322125084
@@ -1847,6 +1924,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ja)
       config: ja
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 46.20712844653666
@@ -1859,6 +1937,7 @@ model-index:
       name: MTEB MassiveIntentClassification (jv)
       config: jv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 37.60591795561533
@@ -1871,6 +1950,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ka)
       config: ka
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 24.47209145931405
@@ -1883,6 +1963,7 @@ model-index:
       name: MTEB MassiveIntentClassification (km)
       config: km
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 26.23739071956961
@@ -1895,6 +1976,7 @@ model-index:
       name: MTEB MassiveIntentClassification (kn)
       config: kn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 17.831203765971754
@@ -1907,6 +1989,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ko)
       config: ko
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 37.266308002689975
@@ -1919,6 +2002,7 @@ model-index:
       name: MTEB MassiveIntentClassification (lv)
       config: lv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.93140551445864
@@ -1931,6 +2015,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ml)
       config: ml
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 17.88500336247478
@@ -1943,6 +2028,7 @@ model-index:
       name: MTEB MassiveIntentClassification (mn)
       config: mn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 32.975790181573636
@@ -1955,6 +2041,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ms)
       config: ms
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.91123066577001
@@ -1967,6 +2054,7 @@ model-index:
       name: MTEB MassiveIntentClassification (my)
       config: my
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 17.834566240753194
@@ -1979,6 +2067,7 @@ model-index:
       name: MTEB MassiveIntentClassification (nb)
       config: nb
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 39.47881640887693
@@ -1991,6 +2080,7 @@ model-index:
       name: MTEB MassiveIntentClassification (nl)
       config: nl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.76193678547412
@@ -2003,6 +2093,7 @@ model-index:
       name: MTEB MassiveIntentClassification (pl)
       config: pl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.61936785474109
@@ -2015,6 +2106,7 @@ model-index:
       name: MTEB MassiveIntentClassification (pt)
       config: pt
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 44.54270342972427
@@ -2027,6 +2119,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ro)
       config: ro
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 39.96973772696705
@@ -2039,6 +2132,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ru)
       config: ru
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 37.461331540013454
@@ -2051,6 +2145,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sl)
       config: sl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.28850033624748
@@ -2063,6 +2158,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sq)
       config: sq
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.95494283792872
@@ -2075,6 +2171,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sv)
       config: sv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.85272360457296
@@ -2087,6 +2184,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sw)
       config: sw
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.328850033624754
@@ -2099,6 +2197,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ta)
       config: ta
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 19.031607262945528
@@ -2111,6 +2210,7 @@ model-index:
       name: MTEB MassiveIntentClassification (te)
       config: te
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 19.38466711499664
@@ -2123,6 +2223,7 @@ model-index:
       name: MTEB MassiveIntentClassification (th)
       config: th
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 34.088769334229994
@@ -2135,6 +2236,7 @@ model-index:
       name: MTEB MassiveIntentClassification (tl)
       config: tl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.285810356422324
@@ -2147,6 +2249,7 @@ model-index:
       name: MTEB MassiveIntentClassification (tr)
       config: tr
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.860121049092136
@@ -2159,6 +2262,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ur)
       config: ur
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 27.834566240753194
@@ -2171,6 +2275,7 @@ model-index:
       name: MTEB MassiveIntentClassification (vi)
       config: vi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.70544720914593
@@ -2183,6 +2288,7 @@ model-index:
       name: MTEB MassiveIntentClassification (zh-CN)
       config: zh-CN
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 45.78009414929387
@@ -2195,6 +2301,7 @@ model-index:
       name: MTEB MassiveIntentClassification (zh-TW)
       config: zh-TW
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.32010759919301
@@ -2207,6 +2314,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (af)
       config: af
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.24546065904506
@@ -2219,6 +2327,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (am)
       config: am
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 25.68930733019502
@@ -2231,6 +2340,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ar)
       config: ar
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.39744451916611
@@ -2243,6 +2353,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (az)
       config: az
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.53127101546738
@@ -2255,6 +2366,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (bn)
       config: bn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 27.23268325487559
@@ -2267,6 +2379,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (cy)
       config: cy
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 38.69872225958305
@@ -2279,6 +2392,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (da)
       config: da
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.75453934095494
@@ -2291,6 +2405,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (de)
       config: de
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 41.355077336919976
@@ -2303,6 +2418,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (el)
       config: el
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 38.43981170141224
@@ -2315,6 +2431,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (en)
       config: en
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 66.33826496301278
@@ -2327,6 +2444,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (es)
       config: es
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.17955615332885
@@ -2339,6 +2457,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fa)
       config: fa
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 34.82851378614661
@@ -2351,6 +2470,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fi)
       config: fi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.561533288500335
@@ -2363,6 +2483,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fr)
       config: fr
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.917955615332886
@@ -2375,6 +2496,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (he)
       config: he
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.08473436449227
@@ -2387,6 +2509,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hi)
       config: hi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 28.369199731002016
@@ -2399,6 +2522,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hu)
       config: hu
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.49226630800269
@@ -2411,6 +2535,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hy)
       config: hy
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 25.904505716207133
@@ -2423,6 +2548,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (id)
       config: id
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.95830531271016
@@ -2435,6 +2561,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (is)
       config: is
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 38.564223268325485
@@ -2447,6 +2574,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (it)
       config: it
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 46.58708809683928
@@ -2459,6 +2587,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ja)
       config: ja
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 46.24747814391393
@@ -2471,6 +2600,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (jv)
       config: jv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.6570275722932
@@ -2483,6 +2613,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ka)
       config: ka
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 25.279085406859448
@@ -2495,6 +2626,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (km)
       config: km
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 28.97108271687962
@@ -2507,6 +2639,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (kn)
       config: kn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 19.27370544720915
@@ -2519,6 +2652,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ko)
       config: ko
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 35.729657027572294
@@ -2531,6 +2665,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (lv)
       config: lv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.57296570275723
@@ -2543,6 +2678,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ml)
       config: ml
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 19.895763281775388
@@ -2555,6 +2691,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (mn)
       config: mn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.431069266980494
@@ -2567,6 +2704,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ms)
       config: ms
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.32347007397445
@@ -2579,6 +2717,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (my)
       config: my
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 20.864156018829856
@@ -2591,6 +2730,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (nb)
       config: nb
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.47074646940148
@@ -2603,6 +2743,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (nl)
       config: nl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 43.591123066577
@@ -2615,6 +2756,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (pl)
       config: pl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 41.876260928043045
@@ -2627,6 +2769,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (pt)
       config: pt
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 46.30800268997983
@@ -2639,6 +2782,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ro)
       config: ro
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.525218560860786
@@ -2651,6 +2795,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ru)
       config: ru
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 35.94821788836584
@@ -2663,6 +2808,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sl)
       config: sl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 38.69199731002017
@@ -2675,6 +2821,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sq)
       config: sq
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.474108944182916
@@ -2687,6 +2834,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sv)
       config: sv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 41.523201075991935
@@ -2699,6 +2847,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sw)
       config: sw
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.54942837928716
@@ -2711,6 +2860,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ta)
       config: ta
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 22.8782784129119
@@ -2723,6 +2873,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (te)
       config: te
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 20.51445864156019
@@ -2735,6 +2886,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (th)
       config: th
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 34.92602555480834
@@ -2747,6 +2899,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (tl)
       config: tl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.74983187626093
@@ -2759,6 +2912,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (tr)
       config: tr
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.06859448554136
@@ -2771,6 +2925,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ur)
       config: ur
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 29.747814391392062
@@ -2783,6 +2938,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (vi)
       config: vi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 38.02286482851379
@@ -2795,6 +2951,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (zh-CN)
       config: zh-CN
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 48.550773369199725
@@ -2807,6 +2964,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (zh-TW)
       config: zh-TW
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.17821116341628
@@ -2819,6 +2977,7 @@ model-index:
       name: MTEB MedrxivClusteringP2P
       config: default
       split: test
+      revision: dcefc037ef84348e49b0d29109e891c01067226b
     metrics:
     - type: v_measure
       value: 28.301902023313875
@@ -2829,6 +2988,7 @@ model-index:
       name: MTEB MedrxivClusteringS2S
       config: default
       split: test
+      revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
     metrics:
     - type: v_measure
       value: 24.932123582259287
@@ -2839,6 +2999,7 @@ model-index:
       name: MTEB MindSmallReranking
       config: default
       split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
       value: 29.269341041468326
@@ -2851,6 +3012,7 @@ model-index:
       name: MTEB NFCorpus
       config: default
       split: test
+      revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
     metrics:
     - type: map_at_1
       value: 1.2269999999999999
@@ -2907,6 +3069,7 @@ model-index:
       name: MTEB NQ
       config: default
       split: test
+      revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
     metrics:
     - type: map_at_1
       value: 3.515
@@ -2963,6 +3126,7 @@ model-index:
       name: MTEB QuoraRetrieval
       config: default
       split: test
+      revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
     metrics:
     - type: map_at_1
       value: 61.697
@@ -3019,6 +3183,7 @@ model-index:
       name: MTEB RedditClustering
       config: default
       split: test
+      revision: b2805658ae38990172679479369a78b86de8c390
     metrics:
     - type: v_measure
       value: 33.75741018380938
@@ -3029,6 +3194,7 @@ model-index:
       name: MTEB RedditClusteringP2P
       config: default
       split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: v_measure
       value: 41.00799910099266
@@ -3039,6 +3205,7 @@ model-index:
       name: MTEB SCIDOCS
       config: default
       split: test
+      revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
     metrics:
     - type: map_at_1
       value: 1.72
@@ -3095,6 +3262,7 @@ model-index:
       name: MTEB SICK-R
       config: default
       split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: cos_sim_pearson
       value: 80.96286245858941
@@ -3115,6 +3283,7 @@ model-index:
       name: MTEB STS12
       config: default
       split: test
+      revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
     metrics:
     - type: cos_sim_pearson
       value: 80.20938796088339
@@ -3135,6 +3304,7 @@ model-index:
       name: MTEB STS13
       config: default
       split: test
+      revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
     metrics:
     - type: cos_sim_pearson
       value: 76.401935081936
@@ -3155,6 +3325,7 @@ model-index:
       name: MTEB STS14
       config: default
       split: test
+      revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
     metrics:
     - type: cos_sim_pearson
       value: 75.35551963935667
@@ -3175,6 +3346,7 @@ model-index:
       name: MTEB STS15
       config: default
       split: test
+      revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
     metrics:
     - type: cos_sim_pearson
       value: 79.05293131911803
@@ -3195,6 +3367,7 @@ model-index:
       name: MTEB STS16
       config: default
       split: test
+      revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
     metrics:
     - type: cos_sim_pearson
       value: 76.04750373932828
@@ -3215,6 +3388,7 @@ model-index:
       name: MTEB STS17 (ko-ko)
       config: ko-ko
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 43.0464619152799
@@ -3235,6 +3409,7 @@ model-index:
       name: MTEB STS17 (ar-ar)
       config: ar-ar
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 53.27469278912148
@@ -3255,6 +3430,7 @@ model-index:
       name: MTEB STS17 (en-ar)
       config: en-ar
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 1.5482997790039945
@@ -3275,6 +3451,7 @@ model-index:
       name: MTEB STS17 (en-de)
       config: en-de
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 27.5420218362265
@@ -3295,6 +3472,7 @@ model-index:
       name: MTEB STS17 (en-en)
       config: en-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 85.32029757646663
@@ -3315,6 +3493,7 @@ model-index:
       name: MTEB STS17 (en-tr)
       config: en-tr
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 4.37162299241808
@@ -3335,6 +3514,7 @@ model-index:
       name: MTEB STS17 (es-en)
       config: es-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 20.306030448858603
@@ -3355,6 +3535,7 @@ model-index:
       name: MTEB STS17 (es-es)
       config: es-es
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 66.81873207478459
@@ -3375,6 +3556,7 @@ model-index:
       name: MTEB STS17 (fr-en)
       config: fr-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 21.366487281202602
@@ -3395,6 +3577,7 @@ model-index:
       name: MTEB STS17 (it-en)
       config: it-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 20.73153177251085
@@ -3415,6 +3598,7 @@ model-index:
       name: MTEB STS17 (nl-en)
       config: nl-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 26.618435024084253
@@ -3435,6 +3619,7 @@ model-index:
       name: MTEB STS22 (en)
       config: en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 59.17638344661753
@@ -3455,6 +3640,7 @@ model-index:
       name: MTEB STS22 (de)
       config: de
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 10.322254716987457
@@ -3475,6 +3661,7 @@ model-index:
       name: MTEB STS22 (es)
       config: es
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 43.38031880545056
@@ -3495,6 +3682,7 @@ model-index:
       name: MTEB STS22 (pl)
       config: pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 4.291290504363136
@@ -3515,6 +3703,7 @@ model-index:
       name: MTEB STS22 (tr)
       config: tr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 4.102739498555817
@@ -3535,6 +3724,7 @@ model-index:
       name: MTEB STS22 (ar)
       config: ar
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 2.38765395226737
@@ -3555,6 +3745,7 @@ model-index:
       name: MTEB STS22 (ru)
       config: ru
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 7.6735490672676345
@@ -3575,6 +3766,7 @@ model-index:
       name: MTEB STS22 (zh)
       config: zh
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 0.06167614416104335
@@ -3595,6 +3787,7 @@ model-index:
       name: MTEB STS22 (fr)
       config: fr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 53.19490347682836
@@ -3615,6 +3808,7 @@ model-index:
       name: MTEB STS22 (de-en)
       config: de-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 51.151158530122146
@@ -3635,6 +3829,7 @@ model-index:
       name: MTEB STS22 (es-en)
       config: es-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 30.36194885126792
@@ -3655,6 +3850,7 @@ model-index:
       name: MTEB STS22 (it)
       config: it
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 35.23883630335275
@@ -3675,6 +3871,7 @@ model-index:
       name: MTEB STS22 (pl-en)
       config: pl-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 19.809302548119547
@@ -3695,6 +3892,7 @@ model-index:
       name: MTEB STS22 (zh-en)
       config: zh-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 20.393500955410488
@@ -3715,6 +3913,7 @@ model-index:
       name: MTEB STS22 (es-it)
       config: es-it
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 36.58919983075148
@@ -3735,6 +3934,7 @@ model-index:
       name: MTEB STS22 (de-fr)
       config: de-fr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 26.350936227950083
@@ -3755,6 +3955,7 @@ model-index:
       name: MTEB STS22 (de-pl)
       config: de-pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 20.056269198600322
@@ -3775,6 +3976,7 @@ model-index:
       name: MTEB STS22 (fr-pl)
       config: fr-pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 19.563740271419395
@@ -3795,6 +3997,7 @@ model-index:
       name: MTEB STSBenchmark
       config: default
       split: test
+      revision: 8913289635987208e6e7c72789e4be2fe94b6abd
     metrics:
     - type: cos_sim_pearson
       value: 80.00905671833966
@@ -3815,6 +4018,7 @@ model-index:
       name: MTEB SciDocsRR
       config: default
       split: test
+      revision: 56a6d0140cf6356659e2a7c1413286a774468d44
     metrics:
     - type: map
       value: 68.35710819755543
@@ -3827,6 +4031,7 @@ model-index:
       name: MTEB SciFact
       config: default
       split: test
+      revision: a75ae049398addde9b70f6b268875f5cbce99089
     metrics:
     - type: map_at_1
       value: 21.556
@@ -3883,6 +4088,7 @@ model-index:
       name: MTEB SprintDuplicateQuestions
       config: default
       split: test
+      revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
     metrics:
     - type: cos_sim_accuracy
       value: 99.49306930693069
@@ -3937,6 +4143,7 @@ model-index:
       name: MTEB StackExchangeClustering
       config: default
       split: test
+      revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
     metrics:
     - type: v_measure
       value: 44.59127540530939
@@ -3947,6 +4154,7 @@ model-index:
       name: MTEB StackExchangeClusteringP2P
       config: default
       split: test
+      revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
     metrics:
     - type: v_measure
       value: 28.230204578753636
@@ -3957,6 +4165,7 @@ model-index:
       name: MTEB StackOverflowDupQuestions
       config: default
       split: test
+      revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
     metrics:
     - type: map
       value: 39.96520488022785
@@ -3969,6 +4178,7 @@ model-index:
       name: MTEB SummEval
       config: default
       split: test
+      revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
     metrics:
     - type: cos_sim_pearson
       value: 30.56303767714449
@@ -3985,6 +4195,7 @@ model-index:
       name: MTEB TRECCOVID
       config: default
       split: test
+      revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
     metrics:
     - type: map_at_1
       value: 0.11299999999999999
@@ -4041,6 +4252,7 @@ model-index:
       name: MTEB Touche2020
       config: default
       split: test
+      revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
     metrics:
     - type: map_at_1
       value: 0.645
@@ -4097,6 +4309,7 @@ model-index:
       name: MTEB ToxicConversationsClassification
       config: default
       split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 62.7862
@@ -4111,6 +4324,7 @@ model-index:
       name: MTEB TweetSentimentExtractionClassification
       config: default
       split: test
+      revision: 62146448f05be9e52a36b8ee9936447ea787eede
     metrics:
     - type: accuracy
       value: 54.821731748726656
@@ -4123,6 +4337,7 @@ model-index:
       name: MTEB TwentyNewsgroupsClustering
       config: default
       split: test
+      revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
     metrics:
     - type: v_measure
       value: 28.24295128553035
@@ -4133,6 +4348,7 @@ model-index:
       name: MTEB TwitterSemEval2015
       config: default
       split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
       value: 81.5640460153782
@@ -4187,6 +4403,7 @@ model-index:
       name: MTEB TwitterURLCorpus
       config: default
       split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
       value: 86.63018589668955