Update README.md (#1)

- Update README.md (824ac8c53a1599eccd65ca493c1a0565a4d7fb66)

README.md

@@ -15,6 +15,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en)
       config: en
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 74.07462686567165
@@ -29,6 +30,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (de)
       config: de
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 66.63811563169165
@@ -43,6 +45,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (en-ext)
       config: en-ext
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 77.21889055472263
@@ -57,6 +60,7 @@ model-index:
       name: MTEB AmazonCounterfactualClassification (ja)
       config: ja
       split: test
+      revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
     metrics:
     - type: accuracy
       value: 58.06209850107067
@@ -71,6 +75,7 @@ model-index:
       name: MTEB AmazonPolarityClassification
       config: default
       split: test
+      revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
     metrics:
     - type: accuracy
       value: 82.30920000000002
@@ -85,6 +90,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (en)
       config: en
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 41.584
@@ -97,6 +103,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (de)
       config: de
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 35.288000000000004
@@ -109,6 +116,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (es)
       config: es
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 38.34
@@ -121,6 +129,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (fr)
       config: fr
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 37.839999999999996
@@ -133,6 +142,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (ja)
       config: ja
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 30.936000000000003
@@ -145,6 +155,7 @@ model-index:
       name: MTEB AmazonReviewsClassification (zh)
       config: zh
       split: test
+      revision: c379a6705fec24a2493fa68e011692605f44e119
     metrics:
     - type: accuracy
       value: 33.75
@@ -157,6 +168,7 @@ model-index:
       name: MTEB ArguAna
       config: default
       split: test
+      revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
     metrics:
     - type: map_at_1
       value: 13.727
@@ -213,6 +225,7 @@ model-index:
       name: MTEB ArxivClusteringP2P
       config: default
       split: test
+      revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
     metrics:
     - type: v_measure
       value: 40.553923271901695
@@ -223,6 +236,7 @@ model-index:
       name: MTEB ArxivClusteringS2S
       config: default
       split: test
+      revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
     metrics:
     - type: v_measure
       value: 32.49323183712211
@@ -233,6 +247,7 @@ model-index:
       name: MTEB AskUbuntuDupQuestions
       config: default
       split: test
+      revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
     metrics:
     - type: map
       value: 55.89811361443445
@@ -245,6 +260,7 @@ model-index:
       name: MTEB BIOSSES
       config: default
       split: test
+      revision: 9ee918f184421b6bd48b78f6c714d86546106103
     metrics:
     - type: cos_sim_pearson
       value: 82.50506557805856
@@ -265,6 +281,7 @@ model-index:
       name: MTEB BUCC (de-en)
       config: de-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 75.49060542797494
@@ -281,6 +298,7 @@ model-index:
       name: MTEB BUCC (fr-en)
       config: fr-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.4182258419546555
@@ -297,6 +315,7 @@ model-index:
       name: MTEB BUCC (ru-en)
       config: ru-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.013855213023900243
@@ -313,6 +332,7 @@ model-index:
       name: MTEB BUCC (zh-en)
       config: zh-en
       split: test
+      revision: d51519689f32196a32af33b075a01d0e7c51e252
     metrics:
     - type: accuracy
       value: 0.315955766192733
@@ -329,6 +349,7 @@ model-index:
       name: MTEB Banking77Classification
       config: default
       split: test
+      revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
     metrics:
     - type: accuracy
       value: 81.74025974025973
@@ -341,6 +362,7 @@ model-index:
       name: MTEB BiorxivClusteringP2P
       config: default
       split: test
+      revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
     metrics:
     - type: v_measure
       value: 33.59451202614059
@@ -351,6 +373,7 @@ model-index:
       name: MTEB BiorxivClusteringS2S
       config: default
       split: test
+      revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
     metrics:
     - type: v_measure
       value: 29.128241446157165
@@ -361,6 +384,7 @@ model-index:
       name: MTEB CQADupstackAndroidRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 26.715
@@ -417,6 +441,7 @@ model-index:
       name: MTEB CQADupstackEnglishRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 19.663
@@ -473,6 +498,7 @@ model-index:
       name: MTEB CQADupstackGamingRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 30.125
@@ -529,6 +555,7 @@ model-index:
       name: MTEB CQADupstackGisRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 16.298000000000002
@@ -585,6 +612,7 @@ model-index:
       name: MTEB CQADupstackMathematicaRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 10.958
@@ -641,6 +669,7 @@ model-index:
       name: MTEB CQADupstackPhysicsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 21.217
@@ -697,6 +726,7 @@ model-index:
       name: MTEB CQADupstackProgrammersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 19.274
@@ -753,6 +783,7 @@ model-index:
       name: MTEB CQADupstackRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 18.653666666666666
@@ -809,6 +840,7 @@ model-index:
       name: MTEB CQADupstackStatsRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 16.07
@@ -865,6 +897,7 @@ model-index:
       name: MTEB CQADupstackTexRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 10.847
@@ -921,6 +954,7 @@ model-index:
       name: MTEB CQADupstackUnixRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 18.377
@@ -977,6 +1011,7 @@ model-index:
       name: MTEB CQADupstackWebmastersRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 20.246
@@ -1033,6 +1068,7 @@ model-index:
       name: MTEB CQADupstackWordpressRetrieval
       config: default
       split: test
+      revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
     metrics:
     - type: map_at_1
       value: 14.054
@@ -1089,6 +1125,7 @@ model-index:
       name: MTEB ClimateFEVER
       config: default
       split: test
+      revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
     metrics:
     - type: map_at_1
       value: 6.122
@@ -1145,6 +1182,7 @@ model-index:
       name: MTEB DBPedia
       config: default
       split: test
+      revision: f097057d03ed98220bc7309ddb10b71a54d667d6
     metrics:
     - type: map_at_1
       value: 4.672
@@ -1201,6 +1239,7 @@ model-index:
       name: MTEB EmotionClassification
       config: default
       split: test
+      revision: 829147f8f75a25f005913200eb5ed41fae320aa1
     metrics:
     - type: accuracy
       value: 49.919999999999995
@@ -1213,6 +1252,7 @@ model-index:
       name: MTEB FEVER
       config: default
       split: test
+      revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
     metrics:
     - type: map_at_1
       value: 25.801000000000002
@@ -1269,6 +1309,7 @@ model-index:
       name: MTEB FiQA2018
       config: default
       split: test
+      revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
     metrics:
     - type: map_at_1
       value: 9.142
@@ -1325,6 +1366,7 @@ model-index:
       name: MTEB HotpotQA
       config: default
       split: test
+      revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
     metrics:
     - type: map_at_1
       value: 18.677
@@ -1381,6 +1423,7 @@ model-index:
       name: MTEB ImdbClassification
       config: default
       split: test
+      revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
     metrics:
     - type: accuracy
       value: 74.3292
@@ -1395,6 +1438,7 @@ model-index:
       name: MTEB MSMARCO
       config: default
       split: validation
+      revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
     metrics:
     - type: map_at_1
       value: 6.889000000000001
@@ -1451,6 +1495,7 @@ model-index:
       name: MTEB MTOPDomainClassification (en)
       config: en
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 89.6374829001368
@@ -1463,6 +1508,7 @@ model-index:
       name: MTEB MTOPDomainClassification (de)
       config: de
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 84.54212454212454
@@ -1475,6 +1521,7 @@ model-index:
       name: MTEB MTOPDomainClassification (es)
       config: es
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 86.46430953969313
@@ -1487,6 +1534,7 @@ model-index:
       name: MTEB MTOPDomainClassification (fr)
       config: fr
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 81.31850923896022
@@ -1499,6 +1547,7 @@ model-index:
       name: MTEB MTOPDomainClassification (hi)
       config: hi
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 58.23234134098243
@@ -1511,6 +1560,7 @@ model-index:
       name: MTEB MTOPDomainClassification (th)
       config: th
       split: test
+      revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
     metrics:
     - type: accuracy
       value: 72.28571428571429
@@ -1523,6 +1573,7 @@ model-index:
       name: MTEB MTOPIntentClassification (en)
       config: en
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 70.68171454628363
@@ -1535,6 +1586,7 @@ model-index:
       name: MTEB MTOPIntentClassification (de)
       config: de
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 60.521273598196665
@@ -1547,6 +1599,7 @@ model-index:
       name: MTEB MTOPIntentClassification (es)
       config: es
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 64.32288192128087
@@ -1559,6 +1612,7 @@ model-index:
       name: MTEB MTOPIntentClassification (fr)
       config: fr
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 58.67209520826808
@@ -1571,6 +1625,7 @@ model-index:
       name: MTEB MTOPIntentClassification (hi)
       config: hi
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 41.95769092864826
@@ -1583,6 +1638,7 @@ model-index:
       name: MTEB MTOPIntentClassification (th)
       config: th
       split: test
+      revision: 6299947a7777084cc2d4b64235bf7190381ce755
     metrics:
     - type: accuracy
       value: 55.28390596745027
@@ -1595,6 +1651,7 @@ model-index:
       name: MTEB MassiveIntentClassification (en)
       config: en
       split: test
+      revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
     metrics:
     - type: accuracy
       value: 70.00336247478144
@@ -1607,6 +1664,7 @@ model-index:
       name: MTEB MassiveScenarioClassification (en)
       config: en
       split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
     metrics:
     - type: accuracy
       value: 75.0268997982515
@@ -1619,6 +1677,7 @@ model-index:
       name: MTEB MedrxivClusteringP2P
       config: default
       split: test
+      revision: dcefc037ef84348e49b0d29109e891c01067226b
     metrics:
     - type: v_measure
       value: 30.327566856300813
@@ -1629,6 +1688,7 @@ model-index:
       name: MTEB MedrxivClusteringS2S
       config: default
       split: test
+      revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
     metrics:
     - type: v_measure
       value: 28.01650210863619
@@ -1639,6 +1699,7 @@ model-index:
       name: MTEB MindSmallReranking
       config: default
       split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
     metrics:
     - type: map
       value: 31.11041256752524
@@ -1651,6 +1712,7 @@ model-index:
       name: MTEB NFCorpus
       config: default
       split: test
+      revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
     metrics:
     - type: map_at_1
       value: 3.527
@@ -1707,6 +1769,7 @@ model-index:
       name: MTEB NQ
       config: default
       split: test
+      revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
     metrics:
     - type: map_at_1
       value: 11.631
@@ -1763,6 +1826,7 @@ model-index:
       name: MTEB QuoraRetrieval
       config: default
       split: test
+      revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
     metrics:
     - type: map_at_1
       value: 66.64
@@ -1819,6 +1883,7 @@ model-index:
       name: MTEB RedditClustering
       config: default
       split: test
+      revision: b2805658ae38990172679479369a78b86de8c390
     metrics:
     - type: v_measure
       value: 42.17131361041068
@@ -1829,6 +1894,7 @@ model-index:
       name: MTEB RedditClusteringP2P
       config: default
       split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: v_measure
       value: 48.01815621479994
@@ -1839,6 +1905,7 @@ model-index:
       name: MTEB SCIDOCS
       config: default
       split: test
+      revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
     metrics:
     - type: map_at_1
       value: 3.198
@@ -1895,6 +1962,7 @@ model-index:
       name: MTEB SICK-R
       config: default
       split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
     - type: cos_sim_pearson
       value: 84.5217161312271
@@ -1915,6 +1983,7 @@ model-index:
       name: MTEB STS12
       config: default
       split: test
+      revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
     metrics:
     - type: cos_sim_pearson
       value: 83.70403706922605
@@ -1935,6 +2004,7 @@ model-index:
       name: MTEB STS13
       config: default
       split: test
+      revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
     metrics:
     - type: cos_sim_pearson
       value: 84.94127878986795
@@ -1955,6 +2025,7 @@ model-index:
       name: MTEB STS14
       config: default
       split: test
+      revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
     metrics:
     - type: cos_sim_pearson
       value: 83.1474704168523
@@ -1975,6 +2046,7 @@ model-index:
       name: MTEB STS15
       config: default
       split: test
+      revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
     metrics:
     - type: cos_sim_pearson
       value: 84.81255514055894
@@ -1995,6 +2067,7 @@ model-index:
       name: MTEB STS16
       config: default
       split: test
+      revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
     metrics:
     - type: cos_sim_pearson
       value: 80.63248465157822
@@ -2015,6 +2088,7 @@ model-index:
       name: MTEB STS17 (en-en)
       config: en-en
       split: test
+      revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
     metrics:
     - type: cos_sim_pearson
       value: 90.09066290639687
@@ -2035,6 +2109,7 @@ model-index:
       name: MTEB STS22 (en)
       config: en
       split: test
+      revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
     metrics:
     - type: cos_sim_pearson
       value: 63.52752323046846
@@ -2055,6 +2130,7 @@ model-index:
       name: MTEB STSBenchmark
       config: default
       split: test
+      revision: 8913289635987208e6e7c72789e4be2fe94b6abd
     metrics:
     - type: cos_sim_pearson
       value: 85.45100366635687
@@ -2075,6 +2151,7 @@ model-index:
       name: MTEB SciDocsRR
       config: default
       split: test
+      revision: 56a6d0140cf6356659e2a7c1413286a774468d44
     metrics:
     - type: map
       value: 77.53549990038017
@@ -2087,6 +2164,7 @@ model-index:
       name: MTEB SciFact
       config: default
       split: test
+      revision: a75ae049398addde9b70f6b268875f5cbce99089
     metrics:
     - type: map_at_1
       value: 31.167
@@ -2143,6 +2221,7 @@ model-index:
       name: MTEB SprintDuplicateQuestions
       config: default
       split: test
+      revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
     metrics:
     - type: cos_sim_accuracy
       value: 99.55148514851486
@@ -2197,6 +2276,7 @@ model-index:
       name: MTEB StackExchangeClustering
       config: default
       split: test
+      revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
     metrics:
     - type: v_measure
       value: 54.13314692311623
@@ -2207,6 +2287,7 @@ model-index:
       name: MTEB StackExchangeClusteringP2P
       config: default
       split: test
+      revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
     metrics:
     - type: v_measure
       value: 31.115181648287145
@@ -2217,6 +2298,7 @@ model-index:
       name: MTEB StackOverflowDupQuestions
       config: default
       split: test
+      revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
     metrics:
     - type: map
       value: 44.771112666694336
@@ -2229,6 +2311,7 @@ model-index:
       name: MTEB SummEval
       config: default
       split: test
+      revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
     metrics:
     - type: cos_sim_pearson
       value: 30.849429597669374
@@ -2245,6 +2328,7 @@ model-index:
       name: MTEB TRECCOVID
       config: default
       split: test
+      revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
     metrics:
     - type: map_at_1
       value: 0.19499999999999998
@@ -2301,6 +2385,7 @@ model-index:
       name: MTEB Touche2020
       config: default
       split: test
+      revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
     metrics:
     - type: map_at_1
       value: 1.335
@@ -2357,6 +2442,7 @@ model-index:
       name: MTEB ToxicConversationsClassification
       config: default
       split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
       value: 69.93339999999999
@@ -2371,6 +2457,7 @@ model-index:
       name: MTEB TweetSentimentExtractionClassification
       config: default
       split: test
+      revision: 62146448f05be9e52a36b8ee9936447ea787eede
     metrics:
     - type: accuracy
       value: 62.43916242218449
@@ -2383,6 +2470,7 @@ model-index:
       name: MTEB TwentyNewsgroupsClustering
       config: default
       split: test
+      revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
     metrics:
     - type: v_measure
       value: 37.202082549859796
@@ -2393,6 +2481,7 @@ model-index:
       name: MTEB TwitterSemEval2015
       config: default
       split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cos_sim_accuracy
       value: 83.65023544137807
@@ -2447,6 +2536,7 @@ model-index:
       name: MTEB TwitterURLCorpus
       config: default
       split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cos_sim_accuracy
       value: 88.34943920518494