Update README.md (#1)

- Update README.md (e3c8e9ee7b7646d6f87db95ffc44d9d619ea1923)

README.md

@@ -15,6 +15,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en)
       config: en
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 61.23880597014926
@@ -29,6 +30,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (de)
       config: de
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 56.88436830835117
@@ -43,6 +45,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en-ext)
       config: en-ext
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 58.27586206896551
@@ -57,6 +60,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (ja)
       config: ja
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 54.64668094218415
@@ -71,6 +75,7 @@ model-index:
       name: MTEB AmazonPolarityClassification
       config: default
       split: test
+      revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
     metrics:
     - type: accuracy
       value: 65.401225
@@ -85,6 +90,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (en)
       config: en
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 31.165999999999993
@@ -97,6 +103,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (de)
       config: de
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 24.79
@@ -109,6 +116,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (es)
       config: es
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 26.643999999999995
@@ -121,6 +129,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (fr)
       config: fr
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 26.386000000000003
@@ -133,6 +142,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (ja)
       config: ja
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 22.078000000000003
@@ -145,6 +155,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (zh)
       config: zh
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 24.274
@@ -157,6 +168,7 @@ model-index:
       name: MTEB ArguAna
       config: default
       split: test
+      revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
     metrics:
     - type: map_at_1
       value: 22.404
@@ -225,6 +237,7 @@ model-index:
       name: MTEB ArxivClusteringP2P
       config: default
       split: test
+      revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
     metrics:
     - type: v_measure
       value: 39.70858340673288
@@ -235,6 +248,7 @@ model-index:
       name: MTEB ArxivClusteringS2S
       config: default
       split: test
+      revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
     metrics:
     - type: v_measure
       value: 28.242847713721048
@@ -245,6 +259,7 @@ model-index:
       name: MTEB AskUbuntuDupQuestions
       config: default
       split: test
+      revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
     metrics:
     - type: map
       value: 55.83700395192393
@@ -257,6 +272,7 @@ model-index:
       name: MTEB BIOSSES
       config: default
       split: test
+      revision: 9ee918f184421b6bd48b78f6c714d86546106103
     metrics:
     - type: cos_sim_pearson
       value: 79.25366801756223
@@ -277,6 +293,7 @@ model-index:
       name: MTEB Banking77Classification
       config: default
       split: test
+      revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
     metrics:
     - type: accuracy
       value: 77.70454545454545
@@ -289,6 +306,7 @@ model-index:
       name: MTEB BiorxivClusteringP2P
       config: default
       split: test
+      revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
     metrics:
     - type: v_measure
       value: 33.63260395543984
@@ -299,6 +317,7 @@ model-index:
       name: MTEB BiorxivClusteringS2S
       config: default
       split: test
+      revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
     metrics:
     - type: v_measure
       value: 27.038042665369925
@@ -309,6 +328,7 @@ model-index:
       name: MTEB CQADupstackAndroidRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 22.139
@@ -377,6 +397,7 @@ model-index:
       name: MTEB CQADupstackEnglishRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 20.652
@@ -445,6 +466,7 @@ model-index:
       name: MTEB CQADupstackGamingRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 25.180000000000003
@@ -513,6 +535,7 @@ model-index:
       name: MTEB CQADupstackGisRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 16.303
@@ -581,6 +604,7 @@ model-index:
       name: MTEB CQADupstackMathematicaRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 10.133000000000001
@@ -649,6 +673,7 @@ model-index:
       name: MTEB CQADupstackPhysicsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 19.991999999999997
@@ -717,6 +742,7 @@ model-index:
       name: MTEB CQADupstackProgrammersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 17.896
@@ -785,6 +811,7 @@ model-index:
       name: MTEB CQADupstackRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 17.195166666666665
@@ -853,6 +880,7 @@ model-index:
       name: MTEB CQADupstackStatsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 16.779
@@ -921,6 +949,7 @@ model-index:
       name: MTEB CQADupstackTexRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 9.279
@@ -989,6 +1018,7 @@ model-index:
       name: MTEB CQADupstackUnixRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 16.36
@@ -1057,6 +1087,7 @@ model-index:
       name: MTEB CQADupstackWebmastersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 17.39
@@ -1125,6 +1156,7 @@ model-index:
       name: MTEB CQADupstackWordpressRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 14.238999999999999
@@ -1193,6 +1225,7 @@ model-index:
       name: MTEB ClimateFEVER
       config: default
       split: test
+      revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
     metrics:
     - type: map_at_1
       value: 8.828
@@ -1261,6 +1294,7 @@ model-index:
       name: MTEB DBPedia
       config: default
       split: test
+      revision: f097057d03ed98220bc7309ddb10b71a54d667d6
     metrics:
     - type: map_at_1
       value: 5.586
@@ -1329,6 +1363,7 @@ model-index:
       name: MTEB EmotionClassification
       config: default
       split: test
+      revision: 829147f8f75a25f005913200eb5ed41fae320aa1
     metrics:
     - type: accuracy
       value: 39.075
@@ -1341,6 +1376,7 @@ model-index:
       name: MTEB FEVER
       config: default
       split: test
+      revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
     metrics:
     - type: map_at_1
       value: 43.519999999999996
@@ -1409,6 +1445,7 @@ model-index:
       name: MTEB FiQA2018
       config: default
       split: test
+      revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
     metrics:
     - type: map_at_1
       value: 9.549000000000001
@@ -1477,6 +1514,7 @@ model-index:
       name: MTEB HotpotQA
       config: default
       split: test
+      revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
     metrics:
     - type: map_at_1
       value: 25.544
@@ -1545,6 +1583,7 @@ model-index:
       name: MTEB ImdbClassification
       config: default
       split: test
+      revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
     metrics:
     - type: accuracy
       value: 58.6696
@@ -1559,6 +1598,7 @@ model-index:
       name: MTEB MSMARCO
       config: default
       split: validation
+      revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
     metrics:
     - type: map_at_1
       value: 14.442
@@ -1627,6 +1667,7 @@ model-index:
       name: MTEB MTOPDomainClassification (en)
       config: en
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 86.95622435020519
@@ -1639,6 +1680,7 @@ model-index:
       name: MTEB MTOPDomainClassification (de)
       config: de
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 62.73034657650043
@@ -1651,6 +1693,7 @@ model-index:
       name: MTEB MTOPDomainClassification (es)
       config: es
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 67.54503002001334
@@ -1663,6 +1706,7 @@ model-index:
       name: MTEB MTOPDomainClassification (fr)
       config: fr
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 65.35233322893829
@@ -1675,6 +1719,7 @@ model-index:
       name: MTEB MTOPDomainClassification (hi)
       config: hi
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 45.37110075295806
@@ -1687,6 +1732,7 @@ model-index:
       name: MTEB MTOPDomainClassification (th)
       config: th
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 55.276672694394215
@@ -1699,6 +1745,7 @@ model-index:
       name: MTEB MTOPIntentClassification (en)
       config: en
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 62.25262197902417
@@ -1711,6 +1758,7 @@ model-index:
       name: MTEB MTOPIntentClassification (de)
       config: de
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 49.56043956043956
@@ -1723,6 +1771,7 @@ model-index:
       name: MTEB MTOPIntentClassification (es)
       config: es
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 49.93995997331555
@@ -1735,6 +1784,7 @@ model-index:
       name: MTEB MTOPIntentClassification (fr)
       config: fr
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 46.32947071719386
@@ -1747,6 +1797,7 @@ model-index:
       name: MTEB MTOPIntentClassification (hi)
       config: hi
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 32.208676945141626
@@ -1759,6 +1810,7 @@ model-index:
       name: MTEB MTOPIntentClassification (th)
       config: th
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 43.627486437613015
@@ -1771,6 +1823,7 @@ model-index:
       name: MTEB MassiveIntentClassification (af)
       config: af
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.548083389374575
@@ -1783,6 +1836,7 @@ model-index:
       name: MTEB MassiveIntentClassification (am)
       config: am
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 24.18291862811029
@@ -1795,6 +1849,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ar)
       config: ar
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 30.134498991257562
@@ -1807,6 +1862,7 @@ model-index:
       name: MTEB MassiveIntentClassification (az)
       config: az
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 35.88433086751849
@@ -1819,6 +1875,7 @@ model-index:
       name: MTEB MassiveIntentClassification (bn)
       config: bn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 29.17283120376597
@@ -1831,6 +1888,7 @@ model-index:
       name: MTEB MassiveIntentClassification (cy)
       config: cy
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.788836583725626
@@ -1843,6 +1901,7 @@ model-index:
       name: MTEB MassiveIntentClassification (da)
       config: da
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 44.176193678547406
@@ -1855,6 +1914,7 @@ model-index:
       name: MTEB MassiveIntentClassification (de)
       config: de
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.07464694014795
@@ -1867,6 +1927,7 @@ model-index:
       name: MTEB MassiveIntentClassification (el)
       config: el
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 36.254203093476804
@@ -1879,6 +1940,7 @@ model-index:
       name: MTEB MassiveIntentClassification (en)
       config: en
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 61.40887693342301
@@ -1891,6 +1953,7 @@ model-index:
       name: MTEB MassiveIntentClassification (es)
       config: es
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.679892400807
@@ -1903,6 +1966,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fa)
       config: fa
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 35.59179556153329
@@ -1915,6 +1979,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fi)
       config: fi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.036987222595826
@@ -1927,6 +1992,7 @@ model-index:
       name: MTEB MassiveIntentClassification (fr)
       config: fr
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 43.43981170141224
@@ -1939,6 +2005,7 @@ model-index:
       name: MTEB MassiveIntentClassification (he)
       config: he
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 31.593813046402154
@@ -1951,6 +2018,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hi)
       config: hi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 27.044384667114997
@@ -1963,6 +2031,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hu)
       config: hu
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.453261600538
@@ -1975,6 +2044,7 @@ model-index:
       name: MTEB MassiveIntentClassification (hy)
       config: hy
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 27.979152656355076
@@ -1987,6 +2057,7 @@ model-index:
       name: MTEB MassiveIntentClassification (id)
       config: id
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 43.97108271687963
@@ -1999,6 +2070,7 @@ model-index:
       name: MTEB MassiveIntentClassification (is)
       config: is
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.302622730329524
@@ -2011,6 +2083,7 @@ model-index:
       name: MTEB MassiveIntentClassification (it)
       config: it
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 45.474108944182916
@@ -2023,6 +2096,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ja)
       config: ja
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 45.60860793544048
@@ -2035,6 +2109,7 @@ model-index:
       name: MTEB MassiveIntentClassification (jv)
       config: jv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.668459986550104
@@ -2047,6 +2122,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ka)
       config: ka
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 25.6523201075992
@@ -2059,6 +2135,7 @@ model-index:
       name: MTEB MassiveIntentClassification (km)
       config: km
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 28.295225285810353
@@ -2071,6 +2148,7 @@ model-index:
       name: MTEB MassiveIntentClassification (kn)
       config: kn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 23.480161398789505
@@ -2083,6 +2161,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ko)
       config: ko
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 36.55682582380632
@@ -2095,6 +2174,7 @@ model-index:
       name: MTEB MassiveIntentClassification (lv)
       config: lv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.84936112979153
@@ -2107,6 +2187,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ml)
       config: ml
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 24.90921318090114
@@ -2119,6 +2200,7 @@ model-index:
       name: MTEB MassiveIntentClassification (mn)
       config: mn
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 29.86213853396099
@@ -2131,6 +2213,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ms)
       config: ms
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.42098184263618
@@ -2143,6 +2226,7 @@ model-index:
       name: MTEB MassiveIntentClassification (my)
       config: my
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 25.131136516476126
@@ -2155,6 +2239,7 @@ model-index:
       name: MTEB MassiveIntentClassification (nb)
       config: nb
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 39.81506388702084
@@ -2167,6 +2252,7 @@ model-index:
       name: MTEB MassiveIntentClassification (nl)
       config: nl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 43.62138533960995
@@ -2179,6 +2265,7 @@ model-index:
       name: MTEB MassiveIntentClassification (pl)
       config: pl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.19569603227976
@@ -2191,6 +2278,7 @@ model-index:
       name: MTEB MassiveIntentClassification (pt)
       config: pt
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 45.20847343644923
@@ -2203,6 +2291,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ro)
       config: ro
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.80901143241426
@@ -2215,6 +2304,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ru)
       config: ru
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 35.96839273705447
@@ -2227,6 +2317,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sl)
       config: sl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 40.60524546065905
@@ -2239,6 +2330,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sq)
       config: sq
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.75722932078009
@@ -2251,6 +2343,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sv)
       config: sv
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.347007397444514
@@ -2263,6 +2356,7 @@ model-index:
       name: MTEB MassiveIntentClassification (sw)
       config: sw
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.12306657700067
@@ -2275,6 +2369,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ta)
       config: ta
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 24.603227975790183
@@ -2287,6 +2382,7 @@ model-index:
       name: MTEB MassiveIntentClassification (te)
       config: te
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 25.03698722259583
@@ -2299,6 +2395,7 @@ model-index:
       name: MTEB MassiveIntentClassification (th)
       config: th
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 35.40013449899126
@@ -2311,6 +2408,7 @@ model-index:
       name: MTEB MassiveIntentClassification (tl)
       config: tl
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 41.19031607262945
@@ -2323,6 +2421,7 @@ model-index:
       name: MTEB MassiveIntentClassification (tr)
       config: tr
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 36.405514458641555
@@ -2335,6 +2434,7 @@ model-index:
       name: MTEB MassiveIntentClassification (ur)
       config: ur
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 25.934767989240076
@@ -2347,6 +2447,7 @@ model-index:
       name: MTEB MassiveIntentClassification (vi)
       config: vi
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 38.79959650302622
@@ -2359,6 +2460,7 @@ model-index:
       name: MTEB MassiveIntentClassification (zh-CN)
       config: zh-CN
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 46.244115669132476
@@ -2371,6 +2473,7 @@ model-index:
       name: MTEB MassiveIntentClassification (zh-TW)
       config: zh-TW
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 42.30665770006724
@@ -2383,6 +2486,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (af)
       config: af
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 43.2481506388702
@@ -2395,6 +2499,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (am)
       config: am
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 25.30262273032952
@@ -2407,6 +2512,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ar)
       config: ar
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.07128446536651
@@ -2419,6 +2525,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (az)
       config: az
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 36.681237390719566
@@ -2431,6 +2538,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (bn)
       config: bn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 29.56624075319435
@@ -2443,6 +2551,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (cy)
       config: cy
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.1049092131809
@@ -2455,6 +2564,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (da)
       config: da
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.44384667114997
@@ -2467,6 +2577,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (de)
       config: de
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 43.211163416274374
@@ -2479,6 +2590,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (el)
       config: el
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 36.503026227303295
@@ -2491,6 +2603,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (en)
       config: en
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 69.73772696704773
@@ -2503,6 +2616,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (es)
       config: es
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.078681909885674
@@ -2515,6 +2629,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fa)
       config: fa
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.61264290517821
@@ -2527,6 +2642,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fi)
       config: fi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.35642232683255
@@ -2539,6 +2655,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (fr)
       config: fr
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.06724949562878
@@ -2551,6 +2668,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (he)
       config: he
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.178883658372555
@@ -2563,6 +2681,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hi)
       config: hi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 26.903160726294555
@@ -2575,6 +2694,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hu)
       config: hu
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.379959650302624
@@ -2587,6 +2707,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (hy)
       config: hy
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 28.375924680564896
@@ -2599,6 +2720,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (id)
       config: id
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.361129791526565
@@ -2611,6 +2733,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (is)
       config: is
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.290517821116346
@@ -2623,6 +2746,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (it)
       config: it
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 46.4694014794889
@@ -2635,6 +2759,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ja)
       config: ja
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 46.25756556825824
@@ -2647,6 +2772,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (jv)
       config: jv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 41.12642905178212
@@ -2659,6 +2785,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ka)
       config: ka
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 24.72763954270343
@@ -2671,6 +2798,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (km)
       config: km
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 29.741089441829182
@@ -2683,6 +2811,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (kn)
       config: kn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 23.850033624747816
@@ -2695,6 +2824,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ko)
       config: ko
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 36.56691324815064
@@ -2707,6 +2837,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (lv)
       config: lv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.928043039677206
@@ -2719,6 +2850,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ml)
       config: ml
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 25.527908540685946
@@ -2731,6 +2863,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (mn)
       config: mn
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 29.105581708137183
@@ -2743,6 +2876,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ms)
       config: ms
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 43.78614660390047
@@ -2755,6 +2889,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (my)
       config: my
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 27.269670477471415
@@ -2767,6 +2902,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (nb)
       config: nb
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 39.018157363819775
@@ -2779,6 +2915,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (nl)
       config: nl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.35978480161399
@@ -2791,6 +2928,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (pl)
       config: pl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 41.89307330195023
@@ -2803,6 +2941,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (pt)
       config: pt
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 45.901143241425686
@@ -2815,6 +2954,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ro)
       config: ro
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.11566913248151
@@ -2827,6 +2967,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ru)
       config: ru
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 32.76395427034297
@@ -2839,6 +2980,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sl)
       config: sl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 40.504371217215876
@@ -2851,6 +2993,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sq)
       config: sq
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.51849361129792
@@ -2863,6 +3006,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sv)
       config: sv
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.293207800941495
@@ -2875,6 +3019,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (sw)
       config: sw
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.9993275050437
@@ -2887,6 +3032,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ta)
       config: ta
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 28.32548755884331
@@ -2899,6 +3045,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (te)
       config: te
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 26.593813046402154
@@ -2911,6 +3058,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (th)
       config: th
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 36.788836583725626
@@ -2923,6 +3071,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (tl)
       config: tl
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 42.5689307330195
@@ -2935,6 +3084,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (tr)
       config: tr
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 37.09482178883658
@@ -2947,6 +3097,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (ur)
       config: ur
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 28.836583725622063
@@ -2959,6 +3110,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (vi)
       config: vi
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 37.357094821788834
@@ -2971,6 +3123,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (zh-CN)
       config: zh-CN
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 49.37794216543375
@@ -2983,6 +3136,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (zh-TW)
       config: zh-TW
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 44.42165433759248
@@ -2995,6 +3149,7 @@ model-index:
       name: MTEB MedrxivClusteringP2P
       config: default
       split: test
+      revision: dcefc037ef84348e49b0d29109e891c01067226b
     metrics:
     - type: v_measure
       value: 31.374938993074252
@@ -3005,6 +3160,7 @@ model-index:
       name: MTEB MedrxivClusteringS2S
       config: default
       split: test
+      revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
     metrics:
     - type: v_measure
       value: 26.871455379644093
@@ -3015,6 +3171,7 @@ model-index:
       name: MTEB MindSmallReranking
       config: default
       split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
       value: 30.402396942935333
@@ -3027,6 +3184,7 @@ model-index:
       name: MTEB NFCorpus
       config: default
       split: test
+      revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
     metrics:
     - type: map_at_1
       value: 3.7740000000000005
@@ -3095,6 +3253,7 @@ model-index:
       name: MTEB NQ
       config: default
       split: test
+      revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
     metrics:
     - type: map_at_1
       value: 15.620999999999999
@@ -3163,6 +3322,7 @@ model-index:
       name: MTEB QuoraRetrieval
       config: default
       split: test
+      revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
     metrics:
     - type: map_at_1
       value: 54.717000000000006
@@ -3231,6 +3391,7 @@ model-index:
       name: MTEB RedditClustering
       config: default
       split: test
+      revision: b2805658ae38990172679479369a78b86de8c390
     metrics:
     - type: v_measure
       value: 40.23390747226228
@@ -3241,6 +3402,7 @@ model-index:
       name: MTEB RedditClusteringP2P
       config: default
       split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: v_measure
       value: 49.090518272935626
@@ -3251,6 +3413,7 @@ model-index:
       name: MTEB SCIDOCS
       config: default
       split: test
+      revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
     metrics:
     - type: map_at_1
       value: 3.028
@@ -3319,6 +3482,7 @@ model-index:
       name: MTEB SICK-R
       config: default
       split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: cos_sim_pearson
       value: 76.62983928119752
@@ -3339,6 +3503,7 @@ model-index:
       name: MTEB STS12
       config: default
       split: test
+      revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
     metrics:
     - type: cos_sim_pearson
       value: 74.42679147085553
@@ -3359,6 +3524,7 @@ model-index:
       name: MTEB STS13
       config: default
       split: test
+      revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
     metrics:
     - type: cos_sim_pearson
       value: 75.62472426599543
@@ -3379,6 +3545,7 @@ model-index:
       name: MTEB STS14
       config: default
       split: test
+      revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
     metrics:
     - type: cos_sim_pearson
       value: 74.48227705407035
@@ -3399,6 +3566,7 @@ model-index:
       name: MTEB STS15
       config: default
       split: test
+      revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
     metrics:
     - type: cos_sim_pearson
       value: 78.1566527175902
@@ -3419,6 +3587,7 @@ model-index:
       name: MTEB STS16
       config: default
       split: test
+      revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
     metrics:
     - type: cos_sim_pearson
       value: 75.068454465977
@@ -3439,6 +3608,7 @@ model-index:
       name: MTEB STS17 (ko-ko)
       config: ko-ko
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 39.43327289939437
@@ -3459,6 +3629,7 @@ model-index:
       name: MTEB STS17 (ar-ar)
       config: ar-ar
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 55.54431928210687
@@ -3479,6 +3650,7 @@ model-index:
       name: MTEB STS17 (en-ar)
       config: en-ar
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 11.378463868809098
@@ -3499,6 +3671,7 @@ model-index:
       name: MTEB STS17 (en-de)
       config: en-de
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 32.71403560929013
@@ -3519,6 +3692,7 @@ model-index:
       name: MTEB STS17 (en-en)
       config: en-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 83.36340470799158
@@ -3539,6 +3713,7 @@ model-index:
       name: MTEB STS17 (en-tr)
       config: en-tr
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 1.9200044163754912
@@ -3559,6 +3734,7 @@ model-index:
       name: MTEB STS17 (es-en)
       config: es-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 26.561262451099577
@@ -3579,6 +3755,7 @@ model-index:
       name: MTEB STS17 (es-es)
       config: es-es
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 69.7544202001433
@@ -3599,6 +3776,7 @@ model-index:
       name: MTEB STS17 (fr-en)
       config: fr-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 27.70511842301491
@@ -3619,6 +3797,7 @@ model-index:
       name: MTEB STS17 (it-en)
       config: it-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 24.226521799447692
@@ -3639,6 +3818,7 @@ model-index:
       name: MTEB STS17 (nl-en)
       config: nl-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 29.131412364061234
@@ -3659,6 +3839,7 @@ model-index:
       name: MTEB STS22 (en)
       config: en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 64.04750650962879
@@ -3679,6 +3860,7 @@ model-index:
       name: MTEB STS22 (de)
       config: de
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 19.26519187000913
@@ -3699,6 +3881,7 @@ model-index:
       name: MTEB STS22 (es)
       config: es
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 34.221261828226936
@@ -3719,6 +3902,7 @@ model-index:
       name: MTEB STS22 (pl)
       config: pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 3.620381732096531
@@ -3739,6 +3923,7 @@ model-index:
       name: MTEB STS22 (tr)
       config: tr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 16.69489628726267
@@ -3759,6 +3944,7 @@ model-index:
       name: MTEB STS22 (ar)
       config: ar
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 9.134927430889528
@@ -3779,6 +3965,7 @@ model-index:
       name: MTEB STS22 (ru)
       config: ru
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 3.6386482942352085
@@ -3799,6 +3986,7 @@ model-index:
       name: MTEB STS22 (zh)
       config: zh
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 2.972091574908432
@@ -3819,6 +4007,7 @@ model-index:
       name: MTEB STS22 (fr)
       config: fr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 54.4745185734135
@@ -3839,6 +4028,7 @@ model-index:
       name: MTEB STS22 (de-en)
       config: de-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 49.37865412588201
@@ -3859,6 +4049,7 @@ model-index:
       name: MTEB STS22 (es-en)
       config: es-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 44.925652392562135
@@ -3879,6 +4070,7 @@ model-index:
       name: MTEB STS22 (it)
       config: it
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 45.241690321111875
@@ -3899,6 +4091,7 @@ model-index:
       name: MTEB STS22 (pl-en)
       config: pl-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 36.42138324083909
@@ -3919,6 +4112,7 @@ model-index:
       name: MTEB STS22 (zh-en)
       config: zh-en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 26.55350664089358
@@ -3939,6 +4133,7 @@ model-index:
       name: MTEB STS22 (es-it)
       config: es-it
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 38.54682179114309
@@ -3959,6 +4154,7 @@ model-index:
       name: MTEB STS22 (de-fr)
       config: de-fr
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 35.12956772546032
@@ -3979,6 +4175,7 @@ model-index:
       name: MTEB STS22 (de-pl)
       config: de-pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 30.507667380509634
@@ -3999,6 +4196,7 @@ model-index:
       name: MTEB STS22 (fr-pl)
       config: fr-pl
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 71.10820459712156
@@ -4019,6 +4217,7 @@ model-index:
       name: MTEB STSBenchmark
       config: default
       split: test
+      revision: 8913289635987208e6e7c72789e4be2fe94b6abd
     metrics:
     - type: cos_sim_pearson
       value: 76.53032504460737
@@ -4039,6 +4238,7 @@ model-index:
       name: MTEB SciDocsRR
       config: default
       split: test
+      revision: 56a6d0140cf6356659e2a7c1413286a774468d44
     metrics:
     - type: map
       value: 71.33941904192648
@@ -4051,6 +4251,7 @@ model-index:
       name: MTEB SciFact
       config: default
       split: test
+      revision: a75ae049398addde9b70f6b268875f5cbce99089
     metrics:
     - type: map_at_1
       value: 43.333
@@ -4119,6 +4320,7 @@ model-index:
       name: MTEB SprintDuplicateQuestions
       config: default
       split: test
+      revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
     metrics:
     - type: cos_sim_accuracy
       value: 99.7
@@ -4173,6 +4375,7 @@ model-index:
       name: MTEB StackExchangeClustering
       config: default
       split: test
+      revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
     metrics:
     - type: v_measure
       value: 52.74481093815175
@@ -4183,6 +4386,7 @@ model-index:
       name: MTEB StackExchangeClusteringP2P
       config: default
       split: test
+      revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
     metrics:
     - type: v_measure
       value: 32.65999453562101
@@ -4193,6 +4397,7 @@ model-index:
       name: MTEB StackOverflowDupQuestions
       config: default
       split: test
+      revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
     metrics:
     - type: map
       value: 44.74498464555465
@@ -4205,6 +4410,7 @@ model-index:
       name: MTEB SummEval
       config: default
       split: test
+      revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
     metrics:
     - type: cos_sim_pearson
       value: 29.5961822471627
@@ -4221,6 +4427,7 @@ model-index:
       name: MTEB TRECCOVID
       config: default
       split: test
+      revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
     metrics:
     - type: map_at_1
       value: 0.241
@@ -4289,6 +4496,7 @@ model-index:
       name: MTEB Touche2020
       config: default
       split: test
+      revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
     metrics:
     - type: map_at_1
       value: 2.782
@@ -4357,6 +4565,7 @@ model-index:
       name: MTEB ToxicConversationsClassification
       config: default
       split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 62.657999999999994
@@ -4371,6 +4580,7 @@ model-index:
       name: MTEB TweetSentimentExtractionClassification
       config: default
       split: test
+      revision: 62146448f05be9e52a36b8ee9936447ea787eede
     metrics:
     - type: accuracy
       value: 52.40803621958121
@@ -4383,6 +4593,7 @@ model-index:
       name: MTEB TwentyNewsgroupsClustering
       config: default
       split: test
+      revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
     metrics:
     - type: v_measure
       value: 32.12697126747911
@@ -4393,6 +4604,7 @@ model-index:
       name: MTEB TwitterSemEval2015
       config: default
       split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
       value: 80.69976753889253
@@ -4447,6 +4659,7 @@ model-index:
       name: MTEB TwitterURLCorpus
       config: default
       split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
       value: 86.90573213800597