Update README.md
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README.md
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@@ -1,4 +1,2428 @@
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|
| 2 |
base_model: Alibaba-NLP/gte-multilingual-base
|
| 3 |
language:
|
| 4 |
- hu
|
|
|
|
| 1 |
---
|
| 2 |
+
model-index:
|
| 3 |
+
- name: karsar/gte-multilingual-base-hu
|
| 4 |
+
results:
|
| 5 |
+
- dataset:
|
| 6 |
+
config: hun_Latn-hun_Latn
|
| 7 |
+
name: MTEB BelebeleRetrieval (hun_Latn-hun_Latn)
|
| 8 |
+
revision: 75b399394a9803252cfec289d103de462763db7c
|
| 9 |
+
split: test
|
| 10 |
+
type: facebook/belebele
|
| 11 |
+
metrics:
|
| 12 |
+
- type: main_score
|
| 13 |
+
value: 84.52
|
| 14 |
+
- type: map_at_1
|
| 15 |
+
value: 75.333
|
| 16 |
+
- type: map_at_10
|
| 17 |
+
value: 81.589
|
| 18 |
+
- type: map_at_100
|
| 19 |
+
value: 81.857
|
| 20 |
+
- type: map_at_1000
|
| 21 |
+
value: 81.86099999999999
|
| 22 |
+
- type: map_at_20
|
| 23 |
+
value: 81.772
|
| 24 |
+
- type: map_at_3
|
| 25 |
+
value: 80.259
|
| 26 |
+
- type: map_at_5
|
| 27 |
+
value: 81.12
|
| 28 |
+
- type: mrr_at_1
|
| 29 |
+
value: 75.33333333333333
|
| 30 |
+
- type: mrr_at_10
|
| 31 |
+
value: 81.58880070546738
|
| 32 |
+
- type: mrr_at_100
|
| 33 |
+
value: 81.857421688991
|
| 34 |
+
- type: mrr_at_1000
|
| 35 |
+
value: 81.8609779154476
|
| 36 |
+
- type: mrr_at_20
|
| 37 |
+
value: 81.7720978955112
|
| 38 |
+
- type: mrr_at_3
|
| 39 |
+
value: 80.25925925925928
|
| 40 |
+
- type: mrr_at_5
|
| 41 |
+
value: 81.1203703703704
|
| 42 |
+
- type: nauc_map_at_1000_diff1
|
| 43 |
+
value: 83.1406785314172
|
| 44 |
+
- type: nauc_map_at_1000_max
|
| 45 |
+
value: 74.7920064826056
|
| 46 |
+
- type: nauc_map_at_1000_std
|
| 47 |
+
value: 9.75306995524627
|
| 48 |
+
- type: nauc_map_at_100_diff1
|
| 49 |
+
value: 83.13919284407014
|
| 50 |
+
- type: nauc_map_at_100_max
|
| 51 |
+
value: 74.79391249403568
|
| 52 |
+
- type: nauc_map_at_100_std
|
| 53 |
+
value: 9.755401974764572
|
| 54 |
+
- type: nauc_map_at_10_diff1
|
| 55 |
+
value: 83.08701108108275
|
| 56 |
+
- type: nauc_map_at_10_max
|
| 57 |
+
value: 74.88545349132366
|
| 58 |
+
- type: nauc_map_at_10_std
|
| 59 |
+
value: 9.997628643756531
|
| 60 |
+
- type: nauc_map_at_1_diff1
|
| 61 |
+
value: 84.86601118180064
|
| 62 |
+
- type: nauc_map_at_1_max
|
| 63 |
+
value: 72.13766122623628
|
| 64 |
+
- type: nauc_map_at_1_std
|
| 65 |
+
value: 5.8448184250495
|
| 66 |
+
- type: nauc_map_at_20_diff1
|
| 67 |
+
value: 83.08965421576404
|
| 68 |
+
- type: nauc_map_at_20_max
|
| 69 |
+
value: 74.814343891307
|
| 70 |
+
- type: nauc_map_at_20_std
|
| 71 |
+
value: 9.79543760958976
|
| 72 |
+
- type: nauc_map_at_3_diff1
|
| 73 |
+
value: 83.26947789593788
|
| 74 |
+
- type: nauc_map_at_3_max
|
| 75 |
+
value: 75.09180014138512
|
| 76 |
+
- type: nauc_map_at_3_std
|
| 77 |
+
value: 8.869243589731436
|
| 78 |
+
- type: nauc_map_at_5_diff1
|
| 79 |
+
value: 82.80692098415378
|
| 80 |
+
- type: nauc_map_at_5_max
|
| 81 |
+
value: 74.78410118423497
|
| 82 |
+
- type: nauc_map_at_5_std
|
| 83 |
+
value: 9.918556165939222
|
| 84 |
+
- type: nauc_mrr_at_1000_diff1
|
| 85 |
+
value: 83.1406785314172
|
| 86 |
+
- type: nauc_mrr_at_1000_max
|
| 87 |
+
value: 74.7920064826056
|
| 88 |
+
- type: nauc_mrr_at_1000_std
|
| 89 |
+
value: 9.75306995524627
|
| 90 |
+
- type: nauc_mrr_at_100_diff1
|
| 91 |
+
value: 83.13919284407014
|
| 92 |
+
- type: nauc_mrr_at_100_max
|
| 93 |
+
value: 74.79391249403568
|
| 94 |
+
- type: nauc_mrr_at_100_std
|
| 95 |
+
value: 9.755401974764572
|
| 96 |
+
- type: nauc_mrr_at_10_diff1
|
| 97 |
+
value: 83.08701108108275
|
| 98 |
+
- type: nauc_mrr_at_10_max
|
| 99 |
+
value: 74.88545349132366
|
| 100 |
+
- type: nauc_mrr_at_10_std
|
| 101 |
+
value: 9.997628643756531
|
| 102 |
+
- type: nauc_mrr_at_1_diff1
|
| 103 |
+
value: 84.86601118180064
|
| 104 |
+
- type: nauc_mrr_at_1_max
|
| 105 |
+
value: 72.13766122623628
|
| 106 |
+
- type: nauc_mrr_at_1_std
|
| 107 |
+
value: 5.8448184250495
|
| 108 |
+
- type: nauc_mrr_at_20_diff1
|
| 109 |
+
value: 83.08965421576404
|
| 110 |
+
- type: nauc_mrr_at_20_max
|
| 111 |
+
value: 74.814343891307
|
| 112 |
+
- type: nauc_mrr_at_20_std
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type: Retrieval
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config: hun_Latn-eng_Latn
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name: MTEB BelebeleRetrieval (hun_Latn-eng_Latn)
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value: 87.42504295503399
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value: 92.0517188633039
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value: 52.07235965498028
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value: 85.85061149321133
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value: 84.94624842605192
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value: 81.81787797176689
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value: 23.760497470734606
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value: 80.28
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|
| 1166 |
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value: 86.997
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| 1167 |
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- type: ndcg_at_100
|
| 1168 |
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value: 88.161
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| 1169 |
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- type: ndcg_at_1000
|
| 1170 |
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value: 88.28200000000001
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- type: ndcg_at_20
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value: 87.566
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|
| 1174 |
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value: 85.064
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| 1175 |
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- type: ndcg_at_5
|
| 1176 |
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value: 86.195
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| 1177 |
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|
| 1178 |
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value: 80.28
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| 1179 |
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| 1180 |
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value: 9.349
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| 1181 |
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- type: precision_at_100
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| 1182 |
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value: 0.989
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| 1183 |
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- type: precision_at_1000
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| 1184 |
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value: 0.1
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| 1185 |
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- type: precision_at_20
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| 1186 |
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value: 4.787
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| 1187 |
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- type: precision_at_3
|
| 1188 |
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value: 29.429
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| 1189 |
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- type: precision_at_5
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| 1190 |
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value: 18.208
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| 1191 |
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| 1192 |
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value: 80.28
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| 1193 |
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- type: recall_at_10
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| 1194 |
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value: 93.49300000000001
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| 1195 |
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- type: recall_at_100
|
| 1196 |
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value: 98.899
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| 1197 |
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- type: recall_at_1000
|
| 1198 |
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value: 99.85000000000001
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| 1199 |
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- type: recall_at_20
|
| 1200 |
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value: 95.746
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| 1201 |
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- type: recall_at_3
|
| 1202 |
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value: 88.288
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| 1203 |
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- type: recall_at_5
|
| 1204 |
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value: 91.04100000000001
|
| 1205 |
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task:
|
| 1206 |
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type: Retrieval
|
| 1207 |
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|
| 1208 |
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config: hu
|
| 1209 |
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name: MTEB MassiveIntentClassification (hu)
|
| 1210 |
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revision: 4672e20407010da34463acc759c162ca9734bca6
|
| 1211 |
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split: test
|
| 1212 |
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type: mteb/amazon_massive_intent
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| 1213 |
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metrics:
|
| 1214 |
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- type: accuracy
|
| 1215 |
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value: 55.823806321452594
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| 1216 |
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- type: f1
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| 1217 |
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value: 50.78756643922222
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| 1218 |
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- type: f1_weighted
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| 1219 |
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value: 55.11520680706619
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| 1220 |
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- type: main_score
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| 1221 |
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value: 55.823806321452594
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| 1222 |
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task:
|
| 1223 |
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type: Classification
|
| 1224 |
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- dataset:
|
| 1225 |
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config: hu
|
| 1226 |
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name: MTEB MassiveIntentClassification (hu)
|
| 1227 |
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revision: 4672e20407010da34463acc759c162ca9734bca6
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| 1228 |
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split: validation
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| 1229 |
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type: mteb/amazon_massive_intent
|
| 1230 |
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metrics:
|
| 1231 |
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- type: accuracy
|
| 1232 |
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value: 54.66797835710773
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| 1233 |
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- type: f1
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| 1234 |
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value: 49.5096347438473
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| 1235 |
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- type: f1_weighted
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| 1236 |
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value: 53.73310190085533
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| 1237 |
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- type: main_score
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| 1238 |
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value: 54.66797835710773
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| 1239 |
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task:
|
| 1240 |
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type: Classification
|
| 1241 |
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- dataset:
|
| 1242 |
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config: hu
|
| 1243 |
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name: MTEB MassiveScenarioClassification (hu)
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| 1244 |
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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| 1245 |
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split: test
|
| 1246 |
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type: mteb/amazon_massive_scenario
|
| 1247 |
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metrics:
|
| 1248 |
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- type: accuracy
|
| 1249 |
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value: 63.37256220578345
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| 1250 |
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- type: f1
|
| 1251 |
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value: 61.58399629628825
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| 1252 |
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- type: f1_weighted
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| 1253 |
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value: 63.13464436259451
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| 1254 |
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- type: main_score
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| 1255 |
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value: 63.37256220578345
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| 1256 |
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task:
|
| 1257 |
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type: Classification
|
| 1258 |
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- dataset:
|
| 1259 |
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config: hu
|
| 1260 |
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name: MTEB MassiveScenarioClassification (hu)
|
| 1261 |
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
|
| 1262 |
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split: validation
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| 1263 |
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type: mteb/amazon_massive_scenario
|
| 1264 |
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metrics:
|
| 1265 |
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- type: accuracy
|
| 1266 |
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value: 62.03148057058534
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| 1267 |
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- type: f1
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| 1268 |
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value: 60.9893800714451
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| 1269 |
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- type: f1_weighted
|
| 1270 |
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value: 61.85509382597554
|
| 1271 |
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- type: main_score
|
| 1272 |
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value: 62.03148057058534
|
| 1273 |
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task:
|
| 1274 |
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type: Classification
|
| 1275 |
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- dataset:
|
| 1276 |
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config: hu
|
| 1277 |
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name: MTEB MultiEURLEXMultilabelClassification (hu)
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| 1278 |
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revision: 2aea5a6dc8fdcfeca41d0fb963c0a338930bde5c
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| 1279 |
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split: test
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| 1280 |
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type: mteb/eurlex-multilingual
|
| 1281 |
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metrics:
|
| 1282 |
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- type: accuracy
|
| 1283 |
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value: 3.0380000000000003
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| 1284 |
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- type: f1
|
| 1285 |
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value: 27.32839484028383
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| 1286 |
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- type: lrap
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| 1287 |
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value: 41.09644076719448
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| 1288 |
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- type: main_score
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| 1289 |
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value: 3.0380000000000003
|
| 1290 |
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task:
|
| 1291 |
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type: MultilabelClassification
|
| 1292 |
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- dataset:
|
| 1293 |
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config: arb_Arab-hun_Latn
|
| 1294 |
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name: MTEB NTREXBitextMining (arb_Arab-hun_Latn)
|
| 1295 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1296 |
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split: test
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| 1297 |
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type: mteb/NTREX
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| 1298 |
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metrics:
|
| 1299 |
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- type: accuracy
|
| 1300 |
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value: 83.07461191787682
|
| 1301 |
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- type: f1
|
| 1302 |
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value: 78.97012184944082
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| 1303 |
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| 1304 |
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value: 78.97012184944082
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| 1305 |
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- type: precision
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| 1306 |
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value: 77.16324486730095
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| 1307 |
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- type: recall
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| 1308 |
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value: 83.07461191787682
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| 1309 |
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task:
|
| 1310 |
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type: BitextMining
|
| 1311 |
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- dataset:
|
| 1312 |
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config: ben_Beng-hun_Latn
|
| 1313 |
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name: MTEB NTREXBitextMining (ben_Beng-hun_Latn)
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| 1314 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1315 |
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split: test
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| 1316 |
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type: mteb/NTREX
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| 1317 |
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metrics:
|
| 1318 |
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- type: accuracy
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| 1319 |
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value: 81.2719078617927
|
| 1320 |
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- type: f1
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| 1321 |
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value: 76.6133724396118
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| 1322 |
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| 1323 |
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value: 76.6133724396118
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| 1324 |
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| 1325 |
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value: 74.5247633354794
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| 1326 |
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- type: recall
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| 1327 |
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value: 81.2719078617927
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| 1328 |
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task:
|
| 1329 |
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type: BitextMining
|
| 1330 |
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- dataset:
|
| 1331 |
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config: deu_Latn-hun_Latn
|
| 1332 |
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name: MTEB NTREXBitextMining (deu_Latn-hun_Latn)
|
| 1333 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1334 |
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split: test
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| 1335 |
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type: mteb/NTREX
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| 1336 |
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metrics:
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| 1337 |
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- type: accuracy
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| 1338 |
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value: 90.78617926890335
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| 1339 |
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- type: f1
|
| 1340 |
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value: 88.27073944249707
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| 1341 |
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| 1342 |
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value: 88.27073944249707
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| 1343 |
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| 1344 |
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value: 87.1056584877316
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| 1345 |
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| 1346 |
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value: 90.78617926890335
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| 1347 |
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task:
|
| 1348 |
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type: BitextMining
|
| 1349 |
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- dataset:
|
| 1350 |
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config: ell_Grek-hun_Latn
|
| 1351 |
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name: MTEB NTREXBitextMining (ell_Grek-hun_Latn)
|
| 1352 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1353 |
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split: test
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| 1354 |
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type: mteb/NTREX
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| 1355 |
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metrics:
|
| 1356 |
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- type: accuracy
|
| 1357 |
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value: 89.08362543815723
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| 1358 |
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| 1359 |
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value: 86.19429143715574
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| 1360 |
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| 1361 |
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value: 86.19429143715574
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| 1362 |
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| 1363 |
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value: 84.85728592889333
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| 1364 |
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| 1365 |
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value: 89.08362543815723
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| 1366 |
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task:
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| 1367 |
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type: BitextMining
|
| 1368 |
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- dataset:
|
| 1369 |
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config: eng_Latn-hun_Latn
|
| 1370 |
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name: MTEB NTREXBitextMining (eng_Latn-hun_Latn)
|
| 1371 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1372 |
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split: test
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| 1373 |
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type: mteb/NTREX
|
| 1374 |
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metrics:
|
| 1375 |
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- type: accuracy
|
| 1376 |
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value: 93.23985978968453
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| 1377 |
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- type: f1
|
| 1378 |
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value: 91.4087798364213
|
| 1379 |
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|
| 1380 |
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value: 91.4087798364213
|
| 1381 |
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- type: precision
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| 1382 |
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value: 90.57753296611585
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| 1383 |
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- type: recall
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| 1384 |
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value: 93.23985978968453
|
| 1385 |
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task:
|
| 1386 |
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type: BitextMining
|
| 1387 |
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- dataset:
|
| 1388 |
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config: fas_Arab-hun_Latn
|
| 1389 |
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name: MTEB NTREXBitextMining (fas_Arab-hun_Latn)
|
| 1390 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1391 |
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split: test
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| 1392 |
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type: mteb/NTREX
|
| 1393 |
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metrics:
|
| 1394 |
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- type: accuracy
|
| 1395 |
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value: 86.37956935403105
|
| 1396 |
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- type: f1
|
| 1397 |
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value: 82.8442663995994
|
| 1398 |
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- type: main_score
|
| 1399 |
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value: 82.8442663995994
|
| 1400 |
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- type: precision
|
| 1401 |
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value: 81.2635620096812
|
| 1402 |
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- type: recall
|
| 1403 |
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value: 86.37956935403105
|
| 1404 |
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task:
|
| 1405 |
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type: BitextMining
|
| 1406 |
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- dataset:
|
| 1407 |
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config: fin_Latn-hun_Latn
|
| 1408 |
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name: MTEB NTREXBitextMining (fin_Latn-hun_Latn)
|
| 1409 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1410 |
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split: test
|
| 1411 |
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type: mteb/NTREX
|
| 1412 |
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metrics:
|
| 1413 |
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- type: accuracy
|
| 1414 |
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value: 85.42814221331997
|
| 1415 |
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- type: f1
|
| 1416 |
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value: 81.80031952690942
|
| 1417 |
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- type: main_score
|
| 1418 |
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value: 81.80031952690942
|
| 1419 |
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| 1420 |
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value: 80.1235186112502
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| 1421 |
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- type: recall
|
| 1422 |
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value: 85.42814221331997
|
| 1423 |
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task:
|
| 1424 |
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type: BitextMining
|
| 1425 |
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- dataset:
|
| 1426 |
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config: fra_Latn-hun_Latn
|
| 1427 |
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name: MTEB NTREXBitextMining (fra_Latn-hun_Latn)
|
| 1428 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1429 |
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split: test
|
| 1430 |
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type: mteb/NTREX
|
| 1431 |
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metrics:
|
| 1432 |
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- type: accuracy
|
| 1433 |
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value: 90.83625438157236
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| 1434 |
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|
| 1435 |
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value: 88.31079953263227
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| 1436 |
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| 1437 |
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value: 88.31079953263227
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| 1438 |
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| 1439 |
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value: 87.11817726589885
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| 1440 |
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|
| 1441 |
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value: 90.83625438157236
|
| 1442 |
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task:
|
| 1443 |
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type: BitextMining
|
| 1444 |
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- dataset:
|
| 1445 |
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config: heb_Hebr-hun_Latn
|
| 1446 |
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name: MTEB NTREXBitextMining (heb_Hebr-hun_Latn)
|
| 1447 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1448 |
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split: test
|
| 1449 |
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type: mteb/NTREX
|
| 1450 |
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metrics:
|
| 1451 |
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- type: accuracy
|
| 1452 |
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value: 81.32198297446169
|
| 1453 |
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- type: f1
|
| 1454 |
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value: 76.4972458688032
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| 1455 |
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|
| 1456 |
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value: 76.4972458688032
|
| 1457 |
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- type: precision
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| 1458 |
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value: 74.3578462932494
|
| 1459 |
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- type: recall
|
| 1460 |
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value: 81.32198297446169
|
| 1461 |
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task:
|
| 1462 |
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type: BitextMining
|
| 1463 |
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- dataset:
|
| 1464 |
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config: hin_Deva-hun_Latn
|
| 1465 |
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name: MTEB NTREXBitextMining (hin_Deva-hun_Latn)
|
| 1466 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1467 |
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split: test
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| 1468 |
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type: mteb/NTREX
|
| 1469 |
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metrics:
|
| 1470 |
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|
| 1471 |
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value: 86.37956935403105
|
| 1472 |
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- type: f1
|
| 1473 |
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value: 82.83341679185445
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| 1474 |
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| 1475 |
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value: 82.83341679185445
|
| 1476 |
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| 1477 |
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value: 81.21563297326942
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| 1478 |
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- type: recall
|
| 1479 |
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value: 86.37956935403105
|
| 1480 |
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task:
|
| 1481 |
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type: BitextMining
|
| 1482 |
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- dataset:
|
| 1483 |
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config: hun_Latn-arb_Arab
|
| 1484 |
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name: MTEB NTREXBitextMining (hun_Latn-arb_Arab)
|
| 1485 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1486 |
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split: test
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| 1487 |
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type: mteb/NTREX
|
| 1488 |
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metrics:
|
| 1489 |
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|
| 1490 |
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value: 82.22333500250375
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| 1491 |
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value: 77.76760378663232
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value: 77.76760378663232
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value: 75.81634356296348
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value: 82.22333500250375
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| 1499 |
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task:
|
| 1500 |
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type: BitextMining
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| 1501 |
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- dataset:
|
| 1502 |
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config: hun_Latn-ben_Beng
|
| 1503 |
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name: MTEB NTREXBitextMining (hun_Latn-ben_Beng)
|
| 1504 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1505 |
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split: test
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| 1506 |
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type: mteb/NTREX
|
| 1507 |
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metrics:
|
| 1508 |
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- type: accuracy
|
| 1509 |
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value: 77.56634952428642
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| 1511 |
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value: 72.28537250319926
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value: 72.28537250319926
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| 1515 |
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value: 70.02032811121445
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| 1517 |
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value: 77.56634952428642
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| 1518 |
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task:
|
| 1519 |
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type: BitextMining
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| 1520 |
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- dataset:
|
| 1521 |
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config: hun_Latn-deu_Latn
|
| 1522 |
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name: MTEB NTREXBitextMining (hun_Latn-deu_Latn)
|
| 1523 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1524 |
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split: test
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| 1525 |
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type: mteb/NTREX
|
| 1526 |
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metrics:
|
| 1527 |
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| 1528 |
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value: 91.4371557336004
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value: 89.27391086629945
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value: 89.27391086629945
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value: 88.24904022700719
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value: 91.4371557336004
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task:
|
| 1538 |
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type: BitextMining
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| 1539 |
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- dataset:
|
| 1540 |
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config: hun_Latn-ell_Grek
|
| 1541 |
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name: MTEB NTREXBitextMining (hun_Latn-ell_Grek)
|
| 1542 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1543 |
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split: test
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type: mteb/NTREX
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| 1545 |
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metrics:
|
| 1546 |
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| 1547 |
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value: 88.3825738607912
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value: 85.36900588978705
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value: 83.98848272408614
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value: 88.3825738607912
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task:
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| 1557 |
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type: BitextMining
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- dataset:
|
| 1559 |
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config: hun_Latn-eng_Latn
|
| 1560 |
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name: MTEB NTREXBitextMining (hun_Latn-eng_Latn)
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| 1561 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1562 |
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split: test
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| 1563 |
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type: mteb/NTREX
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| 1564 |
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metrics:
|
| 1565 |
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- type: accuracy
|
| 1566 |
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value: 94.2914371557336
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value: 92.68903355032549
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value: 92.68903355032549
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value: 91.92121515606743
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value: 94.2914371557336
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| 1575 |
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task:
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| 1576 |
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type: BitextMining
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- dataset:
|
| 1578 |
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config: hun_Latn-fas_Arab
|
| 1579 |
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name: MTEB NTREXBitextMining (hun_Latn-fas_Arab)
|
| 1580 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1581 |
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split: test
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| 1582 |
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type: mteb/NTREX
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| 1583 |
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metrics:
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| 1584 |
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- type: accuracy
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| 1585 |
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value: 84.72709063595393
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value: 80.81622433650475
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| 1591 |
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value: 79.05524954097814
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| 1593 |
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value: 84.72709063595393
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task:
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| 1595 |
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type: BitextMining
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| 1596 |
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- dataset:
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| 1597 |
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config: hun_Latn-fin_Latn
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| 1598 |
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name: MTEB NTREXBitextMining (hun_Latn-fin_Latn)
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| 1599 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1600 |
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split: test
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| 1601 |
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type: mteb/NTREX
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| 1602 |
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metrics:
|
| 1603 |
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- type: accuracy
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| 1604 |
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value: 83.57536304456686
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value: 79.32338984667477
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value: 79.32338984667477
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value: 77.45833035267187
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| 1611 |
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| 1612 |
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value: 83.57536304456686
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| 1613 |
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task:
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| 1614 |
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type: BitextMining
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| 1615 |
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- dataset:
|
| 1616 |
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config: hun_Latn-fra_Latn
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| 1617 |
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name: MTEB NTREXBitextMining (hun_Latn-fra_Latn)
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| 1618 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1619 |
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split: test
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| 1620 |
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type: mteb/NTREX
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| 1621 |
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metrics:
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| 1622 |
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| 1623 |
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value: 90.48572859288933
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value: 87.94954336266304
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value: 87.94954336266304
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value: 86.75429811383744
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| 1631 |
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value: 90.48572859288933
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| 1632 |
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task:
|
| 1633 |
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type: BitextMining
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| 1634 |
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- dataset:
|
| 1635 |
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config: hun_Latn-heb_Hebr
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| 1636 |
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name: MTEB NTREXBitextMining (hun_Latn-heb_Hebr)
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| 1637 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1638 |
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split: test
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| 1639 |
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type: mteb/NTREX
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| 1640 |
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metrics:
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| 1641 |
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- type: accuracy
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| 1642 |
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value: 77.21582373560341
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value: 71.82277384330463
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value: 71.82277384330463
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value: 69.55856403653098
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| 1650 |
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value: 77.21582373560341
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| 1651 |
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task:
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| 1652 |
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type: BitextMining
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| 1653 |
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- dataset:
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| 1654 |
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config: hun_Latn-hin_Deva
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| 1655 |
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name: MTEB NTREXBitextMining (hun_Latn-hin_Deva)
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| 1656 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1657 |
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split: test
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| 1658 |
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type: mteb/NTREX
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| 1659 |
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metrics:
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| 1660 |
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| 1661 |
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value: 84.77716574862293
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value: 80.97423913648251
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value: 80.97423913648251
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value: 79.27265898848273
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| 1669 |
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value: 84.77716574862293
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| 1670 |
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task:
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| 1671 |
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type: BitextMining
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| 1672 |
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- dataset:
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| 1673 |
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config: hun_Latn-ind_Latn
|
| 1674 |
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name: MTEB NTREXBitextMining (hun_Latn-ind_Latn)
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| 1675 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1676 |
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split: test
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| 1677 |
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type: mteb/NTREX
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| 1678 |
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metrics:
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| 1679 |
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| 1680 |
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value: 90.0350525788683
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value: 87.28592889334
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value: 87.28592889334
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value: 85.99732932732432
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| 1688 |
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value: 90.0350525788683
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| 1689 |
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task:
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| 1690 |
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type: BitextMining
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| 1691 |
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- dataset:
|
| 1692 |
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config: hun_Latn-jpn_Jpan
|
| 1693 |
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name: MTEB NTREXBitextMining (hun_Latn-jpn_Jpan)
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| 1694 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1695 |
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split: test
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| 1696 |
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type: mteb/NTREX
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metrics:
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| 1698 |
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| 1699 |
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value: 84.37656484727091
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value: 80.59017097074182
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value: 78.94508429310633
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value: 84.37656484727091
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task:
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| 1709 |
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type: BitextMining
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| 1710 |
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- dataset:
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| 1711 |
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config: hun_Latn-kor_Hang
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| 1712 |
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name: MTEB NTREXBitextMining (hun_Latn-kor_Hang)
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| 1713 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1714 |
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split: test
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| 1715 |
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type: mteb/NTREX
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| 1716 |
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metrics:
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| 1717 |
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| 1718 |
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value: 80.77115673510265
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value: 76.35683684256543
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value: 76.35683684256543
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value: 74.47361699114327
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value: 80.77115673510265
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task:
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| 1728 |
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type: BitextMining
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| 1729 |
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- dataset:
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| 1730 |
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config: hun_Latn-lav_Latn
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| 1731 |
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name: MTEB NTREXBitextMining (hun_Latn-lav_Latn)
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| 1732 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1733 |
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split: test
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| 1734 |
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type: mteb/NTREX
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| 1735 |
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metrics:
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| 1736 |
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| 1737 |
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value: 76.81522283425137
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value: 71.24067052960392
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value: 71.24067052960392
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value: 68.94003703968652
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| 1745 |
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value: 76.81522283425137
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| 1746 |
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task:
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| 1747 |
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type: BitextMining
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| 1748 |
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- dataset:
|
| 1749 |
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config: hun_Latn-lit_Latn
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| 1750 |
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name: MTEB NTREXBitextMining (hun_Latn-lit_Latn)
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| 1751 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1752 |
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split: test
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| 1753 |
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type: mteb/NTREX
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metrics:
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| 1755 |
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value: 77.3159739609414
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value: 77.3159739609414
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task:
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| 1766 |
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type: BitextMining
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| 1767 |
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- dataset:
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| 1768 |
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config: hun_Latn-nld_Latn
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| 1769 |
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name: MTEB NTREXBitextMining (hun_Latn-nld_Latn)
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| 1770 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1771 |
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split: test
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type: mteb/NTREX
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metrics:
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value: 90.98647971957938
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value: 90.98647971957938
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task:
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| 1785 |
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- dataset:
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config: hun_Latn-pol_Latn
|
| 1788 |
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name: MTEB NTREXBitextMining (hun_Latn-pol_Latn)
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| 1789 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1790 |
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split: test
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type: mteb/NTREX
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metrics:
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value: 88.43264897346019
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value: 88.43264897346019
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task:
|
| 1804 |
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type: BitextMining
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- dataset:
|
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config: hun_Latn-por_Latn
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| 1807 |
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name: MTEB NTREXBitextMining (hun_Latn-por_Latn)
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| 1808 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1809 |
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split: test
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type: mteb/NTREX
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metrics:
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value: 90.68602904356536
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value: 90.68602904356536
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task:
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| 1823 |
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type: BitextMining
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- dataset:
|
| 1825 |
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config: hun_Latn-rus_Cyrl
|
| 1826 |
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name: MTEB NTREXBitextMining (hun_Latn-rus_Cyrl)
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| 1827 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1828 |
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split: test
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type: mteb/NTREX
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| 1830 |
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metrics:
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value: 90.0350525788683
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value: 90.0350525788683
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task:
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type: BitextMining
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| 1843 |
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- dataset:
|
| 1844 |
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config: hun_Latn-spa_Latn
|
| 1845 |
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name: MTEB NTREXBitextMining (hun_Latn-spa_Latn)
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| 1846 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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+
split: test
|
| 1848 |
+
type: mteb/NTREX
|
| 1849 |
+
metrics:
|
| 1850 |
+
- type: accuracy
|
| 1851 |
+
value: 92.58888332498748
|
| 1852 |
+
- type: f1
|
| 1853 |
+
value: 90.64763812385245
|
| 1854 |
+
- type: main_score
|
| 1855 |
+
value: 90.64763812385245
|
| 1856 |
+
- type: precision
|
| 1857 |
+
value: 89.75880487397765
|
| 1858 |
+
- type: recall
|
| 1859 |
+
value: 92.58888332498748
|
| 1860 |
+
task:
|
| 1861 |
+
type: BitextMining
|
| 1862 |
+
- dataset:
|
| 1863 |
+
config: hun_Latn-swa_Latn
|
| 1864 |
+
name: MTEB NTREXBitextMining (hun_Latn-swa_Latn)
|
| 1865 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1866 |
+
split: test
|
| 1867 |
+
type: mteb/NTREX
|
| 1868 |
+
metrics:
|
| 1869 |
+
- type: accuracy
|
| 1870 |
+
value: 72.60891337005508
|
| 1871 |
+
- type: f1
|
| 1872 |
+
value: 66.62728580605396
|
| 1873 |
+
- type: main_score
|
| 1874 |
+
value: 66.62728580605396
|
| 1875 |
+
- type: precision
|
| 1876 |
+
value: 64.22842597229177
|
| 1877 |
+
- type: recall
|
| 1878 |
+
value: 72.60891337005508
|
| 1879 |
+
task:
|
| 1880 |
+
type: BitextMining
|
| 1881 |
+
- dataset:
|
| 1882 |
+
config: hun_Latn-swe_Latn
|
| 1883 |
+
name: MTEB NTREXBitextMining (hun_Latn-swe_Latn)
|
| 1884 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1885 |
+
split: test
|
| 1886 |
+
type: mteb/NTREX
|
| 1887 |
+
metrics:
|
| 1888 |
+
- type: accuracy
|
| 1889 |
+
value: 89.03355032548824
|
| 1890 |
+
- type: f1
|
| 1891 |
+
value: 86.01569020196962
|
| 1892 |
+
- type: main_score
|
| 1893 |
+
value: 86.01569020196962
|
| 1894 |
+
- type: precision
|
| 1895 |
+
value: 84.59105324653648
|
| 1896 |
+
- type: recall
|
| 1897 |
+
value: 89.03355032548824
|
| 1898 |
+
task:
|
| 1899 |
+
type: BitextMining
|
| 1900 |
+
- dataset:
|
| 1901 |
+
config: hun_Latn-tam_Taml
|
| 1902 |
+
name: MTEB NTREXBitextMining (hun_Latn-tam_Taml)
|
| 1903 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1904 |
+
split: test
|
| 1905 |
+
type: mteb/NTREX
|
| 1906 |
+
metrics:
|
| 1907 |
+
- type: accuracy
|
| 1908 |
+
value: 74.66199298948423
|
| 1909 |
+
- type: f1
|
| 1910 |
+
value: 68.7971639999682
|
| 1911 |
+
- type: main_score
|
| 1912 |
+
value: 68.7971639999682
|
| 1913 |
+
- type: precision
|
| 1914 |
+
value: 66.36091041323891
|
| 1915 |
+
- type: recall
|
| 1916 |
+
value: 74.66199298948423
|
| 1917 |
+
task:
|
| 1918 |
+
type: BitextMining
|
| 1919 |
+
- dataset:
|
| 1920 |
+
config: hun_Latn-tur_Latn
|
| 1921 |
+
name: MTEB NTREXBitextMining (hun_Latn-tur_Latn)
|
| 1922 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1923 |
+
split: test
|
| 1924 |
+
type: mteb/NTREX
|
| 1925 |
+
metrics:
|
| 1926 |
+
- type: accuracy
|
| 1927 |
+
value: 87.08062093139709
|
| 1928 |
+
- type: f1
|
| 1929 |
+
value: 83.79736271073277
|
| 1930 |
+
- type: main_score
|
| 1931 |
+
value: 83.79736271073277
|
| 1932 |
+
- type: precision
|
| 1933 |
+
value: 82.33278489162315
|
| 1934 |
+
- type: recall
|
| 1935 |
+
value: 87.08062093139709
|
| 1936 |
+
task:
|
| 1937 |
+
type: BitextMining
|
| 1938 |
+
- dataset:
|
| 1939 |
+
config: hun_Latn-vie_Latn
|
| 1940 |
+
name: MTEB NTREXBitextMining (hun_Latn-vie_Latn)
|
| 1941 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1942 |
+
split: test
|
| 1943 |
+
type: mteb/NTREX
|
| 1944 |
+
metrics:
|
| 1945 |
+
- type: accuracy
|
| 1946 |
+
value: 89.78467701552329
|
| 1947 |
+
- type: f1
|
| 1948 |
+
value: 87.0288766483058
|
| 1949 |
+
- type: main_score
|
| 1950 |
+
value: 87.0288766483058
|
| 1951 |
+
- type: precision
|
| 1952 |
+
value: 85.76781839425806
|
| 1953 |
+
- type: recall
|
| 1954 |
+
value: 89.78467701552329
|
| 1955 |
+
task:
|
| 1956 |
+
type: BitextMining
|
| 1957 |
+
- dataset:
|
| 1958 |
+
config: hun_Latn-zho_Hant
|
| 1959 |
+
name: MTEB NTREXBitextMining (hun_Latn-zho_Hant)
|
| 1960 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1961 |
+
split: test
|
| 1962 |
+
type: mteb/NTREX
|
| 1963 |
+
metrics:
|
| 1964 |
+
- type: accuracy
|
| 1965 |
+
value: 87.33099649474211
|
| 1966 |
+
- type: f1
|
| 1967 |
+
value: 84.02103154732097
|
| 1968 |
+
- type: main_score
|
| 1969 |
+
value: 84.02103154732097
|
| 1970 |
+
- type: precision
|
| 1971 |
+
value: 82.51877816725089
|
| 1972 |
+
- type: recall
|
| 1973 |
+
value: 87.33099649474211
|
| 1974 |
+
task:
|
| 1975 |
+
type: BitextMining
|
| 1976 |
+
- dataset:
|
| 1977 |
+
config: hun_Latn-zul_Latn
|
| 1978 |
+
name: MTEB NTREXBitextMining (hun_Latn-zul_Latn)
|
| 1979 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1980 |
+
split: test
|
| 1981 |
+
type: mteb/NTREX
|
| 1982 |
+
metrics:
|
| 1983 |
+
- type: accuracy
|
| 1984 |
+
value: 51.92789183775663
|
| 1985 |
+
- type: f1
|
| 1986 |
+
value: 43.912175926815536
|
| 1987 |
+
- type: main_score
|
| 1988 |
+
value: 43.912175926815536
|
| 1989 |
+
- type: precision
|
| 1990 |
+
value: 41.09881091478487
|
| 1991 |
+
- type: recall
|
| 1992 |
+
value: 51.92789183775663
|
| 1993 |
+
task:
|
| 1994 |
+
type: BitextMining
|
| 1995 |
+
- dataset:
|
| 1996 |
+
config: ind_Latn-hun_Latn
|
| 1997 |
+
name: MTEB NTREXBitextMining (ind_Latn-hun_Latn)
|
| 1998 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1999 |
+
split: test
|
| 2000 |
+
type: mteb/NTREX
|
| 2001 |
+
metrics:
|
| 2002 |
+
- type: accuracy
|
| 2003 |
+
value: 90.1352028042063
|
| 2004 |
+
- type: f1
|
| 2005 |
+
value: 87.51722822328732
|
| 2006 |
+
- type: main_score
|
| 2007 |
+
value: 87.51722822328732
|
| 2008 |
+
- type: precision
|
| 2009 |
+
value: 86.31280253713905
|
| 2010 |
+
- type: recall
|
| 2011 |
+
value: 90.1352028042063
|
| 2012 |
+
task:
|
| 2013 |
+
type: BitextMining
|
| 2014 |
+
- dataset:
|
| 2015 |
+
config: jpn_Jpan-hun_Latn
|
| 2016 |
+
name: MTEB NTREXBitextMining (jpn_Jpan-hun_Latn)
|
| 2017 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2018 |
+
split: test
|
| 2019 |
+
type: mteb/NTREX
|
| 2020 |
+
metrics:
|
| 2021 |
+
- type: accuracy
|
| 2022 |
+
value: 84.37656484727091
|
| 2023 |
+
- type: f1
|
| 2024 |
+
value: 80.56084126189283
|
| 2025 |
+
- type: main_score
|
| 2026 |
+
value: 80.56084126189283
|
| 2027 |
+
- type: precision
|
| 2028 |
+
value: 78.84743782340176
|
| 2029 |
+
- type: recall
|
| 2030 |
+
value: 84.37656484727091
|
| 2031 |
+
task:
|
| 2032 |
+
type: BitextMining
|
| 2033 |
+
- dataset:
|
| 2034 |
+
config: kor_Hang-hun_Latn
|
| 2035 |
+
name: MTEB NTREXBitextMining (kor_Hang-hun_Latn)
|
| 2036 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2037 |
+
split: test
|
| 2038 |
+
type: mteb/NTREX
|
| 2039 |
+
metrics:
|
| 2040 |
+
- type: accuracy
|
| 2041 |
+
value: 83.47521281922884
|
| 2042 |
+
- type: f1
|
| 2043 |
+
value: 79.41519421990128
|
| 2044 |
+
- type: main_score
|
| 2045 |
+
value: 79.41519421990128
|
| 2046 |
+
- type: precision
|
| 2047 |
+
value: 77.57350311181057
|
| 2048 |
+
- type: recall
|
| 2049 |
+
value: 83.47521281922884
|
| 2050 |
+
task:
|
| 2051 |
+
type: BitextMining
|
| 2052 |
+
- dataset:
|
| 2053 |
+
config: lav_Latn-hun_Latn
|
| 2054 |
+
name: MTEB NTREXBitextMining (lav_Latn-hun_Latn)
|
| 2055 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2056 |
+
split: test
|
| 2057 |
+
type: mteb/NTREX
|
| 2058 |
+
metrics:
|
| 2059 |
+
- type: accuracy
|
| 2060 |
+
value: 82.12318477716575
|
| 2061 |
+
- type: f1
|
| 2062 |
+
value: 78.18656556262967
|
| 2063 |
+
- type: main_score
|
| 2064 |
+
value: 78.18656556262967
|
| 2065 |
+
- type: precision
|
| 2066 |
+
value: 76.41879485895511
|
| 2067 |
+
- type: recall
|
| 2068 |
+
value: 82.12318477716575
|
| 2069 |
+
task:
|
| 2070 |
+
type: BitextMining
|
| 2071 |
+
- dataset:
|
| 2072 |
+
config: lit_Latn-hun_Latn
|
| 2073 |
+
name: MTEB NTREXBitextMining (lit_Latn-hun_Latn)
|
| 2074 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2075 |
+
split: test
|
| 2076 |
+
type: mteb/NTREX
|
| 2077 |
+
metrics:
|
| 2078 |
+
- type: accuracy
|
| 2079 |
+
value: 81.67250876314472
|
| 2080 |
+
- type: f1
|
| 2081 |
+
value: 77.52628943415122
|
| 2082 |
+
- type: main_score
|
| 2083 |
+
value: 77.52628943415122
|
| 2084 |
+
- type: precision
|
| 2085 |
+
value: 75.62426973794024
|
| 2086 |
+
- type: recall
|
| 2087 |
+
value: 81.67250876314472
|
| 2088 |
+
task:
|
| 2089 |
+
type: BitextMining
|
| 2090 |
+
- dataset:
|
| 2091 |
+
config: nld_Latn-hun_Latn
|
| 2092 |
+
name: MTEB NTREXBitextMining (nld_Latn-hun_Latn)
|
| 2093 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2094 |
+
split: test
|
| 2095 |
+
type: mteb/NTREX
|
| 2096 |
+
metrics:
|
| 2097 |
+
- type: accuracy
|
| 2098 |
+
value: 91.03655483224837
|
| 2099 |
+
- type: f1
|
| 2100 |
+
value: 88.62404718188392
|
| 2101 |
+
- type: main_score
|
| 2102 |
+
value: 88.62404718188392
|
| 2103 |
+
- type: precision
|
| 2104 |
+
value: 87.50584209647806
|
| 2105 |
+
- type: recall
|
| 2106 |
+
value: 91.03655483224837
|
| 2107 |
+
task:
|
| 2108 |
+
type: BitextMining
|
| 2109 |
+
- dataset:
|
| 2110 |
+
config: pol_Latn-hun_Latn
|
| 2111 |
+
name: MTEB NTREXBitextMining (pol_Latn-hun_Latn)
|
| 2112 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2113 |
+
split: test
|
| 2114 |
+
type: mteb/NTREX
|
| 2115 |
+
metrics:
|
| 2116 |
+
- type: accuracy
|
| 2117 |
+
value: 88.73309964947421
|
| 2118 |
+
- type: f1
|
| 2119 |
+
value: 85.63869613944726
|
| 2120 |
+
- type: main_score
|
| 2121 |
+
value: 85.63869613944726
|
| 2122 |
+
- type: precision
|
| 2123 |
+
value: 84.21799365715239
|
| 2124 |
+
- type: recall
|
| 2125 |
+
value: 88.73309964947421
|
| 2126 |
+
task:
|
| 2127 |
+
type: BitextMining
|
| 2128 |
+
- dataset:
|
| 2129 |
+
config: por_Latn-hun_Latn
|
| 2130 |
+
name: MTEB NTREXBitextMining (por_Latn-hun_Latn)
|
| 2131 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2132 |
+
split: test
|
| 2133 |
+
type: mteb/NTREX
|
| 2134 |
+
metrics:
|
| 2135 |
+
- type: accuracy
|
| 2136 |
+
value: 91.03655483224837
|
| 2137 |
+
- type: f1
|
| 2138 |
+
value: 88.54782173259889
|
| 2139 |
+
- type: main_score
|
| 2140 |
+
value: 88.54782173259889
|
| 2141 |
+
- type: precision
|
| 2142 |
+
value: 87.39108662994491
|
| 2143 |
+
- type: recall
|
| 2144 |
+
value: 91.03655483224837
|
| 2145 |
+
task:
|
| 2146 |
+
type: BitextMining
|
| 2147 |
+
- dataset:
|
| 2148 |
+
config: rus_Cyrl-hun_Latn
|
| 2149 |
+
name: MTEB NTREXBitextMining (rus_Cyrl-hun_Latn)
|
| 2150 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2151 |
+
split: test
|
| 2152 |
+
type: mteb/NTREX
|
| 2153 |
+
metrics:
|
| 2154 |
+
- type: accuracy
|
| 2155 |
+
value: 88.88332498748123
|
| 2156 |
+
- type: f1
|
| 2157 |
+
value: 85.8447194601426
|
| 2158 |
+
- type: main_score
|
| 2159 |
+
value: 85.8447194601426
|
| 2160 |
+
- type: precision
|
| 2161 |
+
value: 84.45751961275246
|
| 2162 |
+
- type: recall
|
| 2163 |
+
value: 88.88332498748123
|
| 2164 |
+
task:
|
| 2165 |
+
type: BitextMining
|
| 2166 |
+
- dataset:
|
| 2167 |
+
config: spa_Latn-hun_Latn
|
| 2168 |
+
name: MTEB NTREXBitextMining (spa_Latn-hun_Latn)
|
| 2169 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2170 |
+
split: test
|
| 2171 |
+
type: mteb/NTREX
|
| 2172 |
+
metrics:
|
| 2173 |
+
- type: accuracy
|
| 2174 |
+
value: 92.13820731096645
|
| 2175 |
+
- type: f1
|
| 2176 |
+
value: 89.933233183108
|
| 2177 |
+
- type: main_score
|
| 2178 |
+
value: 89.933233183108
|
| 2179 |
+
- type: precision
|
| 2180 |
+
value: 88.92004673677182
|
| 2181 |
+
- type: recall
|
| 2182 |
+
value: 92.13820731096645
|
| 2183 |
+
task:
|
| 2184 |
+
type: BitextMining
|
| 2185 |
+
- dataset:
|
| 2186 |
+
config: swa_Latn-hun_Latn
|
| 2187 |
+
name: MTEB NTREXBitextMining (swa_Latn-hun_Latn)
|
| 2188 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2189 |
+
split: test
|
| 2190 |
+
type: mteb/NTREX
|
| 2191 |
+
metrics:
|
| 2192 |
+
- type: accuracy
|
| 2193 |
+
value: 75.7636454682023
|
| 2194 |
+
- type: f1
|
| 2195 |
+
value: 71.19297994610965
|
| 2196 |
+
- type: main_score
|
| 2197 |
+
value: 71.19297994610965
|
| 2198 |
+
- type: precision
|
| 2199 |
+
value: 69.29461652796655
|
| 2200 |
+
- type: recall
|
| 2201 |
+
value: 75.7636454682023
|
| 2202 |
+
task:
|
| 2203 |
+
type: BitextMining
|
| 2204 |
+
- dataset:
|
| 2205 |
+
config: swe_Latn-hun_Latn
|
| 2206 |
+
name: MTEB NTREXBitextMining (swe_Latn-hun_Latn)
|
| 2207 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2208 |
+
split: test
|
| 2209 |
+
type: mteb/NTREX
|
| 2210 |
+
metrics:
|
| 2211 |
+
- type: accuracy
|
| 2212 |
+
value: 89.83475212819229
|
| 2213 |
+
- type: f1
|
| 2214 |
+
value: 87.25779144907837
|
| 2215 |
+
- type: main_score
|
| 2216 |
+
value: 87.25779144907837
|
| 2217 |
+
- type: precision
|
| 2218 |
+
value: 86.05408112168253
|
| 2219 |
+
- type: recall
|
| 2220 |
+
value: 89.83475212819229
|
| 2221 |
+
task:
|
| 2222 |
+
type: BitextMining
|
| 2223 |
+
- dataset:
|
| 2224 |
+
config: tam_Taml-hun_Latn
|
| 2225 |
+
name: MTEB NTREXBitextMining (tam_Taml-hun_Latn)
|
| 2226 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2227 |
+
split: test
|
| 2228 |
+
type: mteb/NTREX
|
| 2229 |
+
metrics:
|
| 2230 |
+
- type: accuracy
|
| 2231 |
+
value: 78.01702553830746
|
| 2232 |
+
- type: f1
|
| 2233 |
+
value: 72.70886488462853
|
| 2234 |
+
- type: main_score
|
| 2235 |
+
value: 72.70886488462853
|
| 2236 |
+
- type: precision
|
| 2237 |
+
value: 70.39064549204758
|
| 2238 |
+
- type: recall
|
| 2239 |
+
value: 78.01702553830746
|
| 2240 |
+
task:
|
| 2241 |
+
type: BitextMining
|
| 2242 |
+
- dataset:
|
| 2243 |
+
config: tur_Latn-hun_Latn
|
| 2244 |
+
name: MTEB NTREXBitextMining (tur_Latn-hun_Latn)
|
| 2245 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2246 |
+
split: test
|
| 2247 |
+
type: mteb/NTREX
|
| 2248 |
+
metrics:
|
| 2249 |
+
- type: accuracy
|
| 2250 |
+
value: 87.33099649474211
|
| 2251 |
+
- type: f1
|
| 2252 |
+
value: 84.28094522736485
|
| 2253 |
+
- type: main_score
|
| 2254 |
+
value: 84.28094522736485
|
| 2255 |
+
- type: precision
|
| 2256 |
+
value: 82.89100317142379
|
| 2257 |
+
- type: recall
|
| 2258 |
+
value: 87.33099649474211
|
| 2259 |
+
task:
|
| 2260 |
+
type: BitextMining
|
| 2261 |
+
- dataset:
|
| 2262 |
+
config: vie_Latn-hun_Latn
|
| 2263 |
+
name: MTEB NTREXBitextMining (vie_Latn-hun_Latn)
|
| 2264 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2265 |
+
split: test
|
| 2266 |
+
type: mteb/NTREX
|
| 2267 |
+
metrics:
|
| 2268 |
+
- type: accuracy
|
| 2269 |
+
value: 89.23385077616425
|
| 2270 |
+
- type: f1
|
| 2271 |
+
value: 86.38290769487564
|
| 2272 |
+
- type: main_score
|
| 2273 |
+
value: 86.38290769487564
|
| 2274 |
+
- type: precision
|
| 2275 |
+
value: 85.08763144717074
|
| 2276 |
+
- type: recall
|
| 2277 |
+
value: 89.23385077616425
|
| 2278 |
+
task:
|
| 2279 |
+
type: BitextMining
|
| 2280 |
+
- dataset:
|
| 2281 |
+
config: zho_Hant-hun_Latn
|
| 2282 |
+
name: MTEB NTREXBitextMining (zho_Hant-hun_Latn)
|
| 2283 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2284 |
+
split: test
|
| 2285 |
+
type: mteb/NTREX
|
| 2286 |
+
metrics:
|
| 2287 |
+
- type: accuracy
|
| 2288 |
+
value: 86.52979469203805
|
| 2289 |
+
- type: f1
|
| 2290 |
+
value: 82.964446670005
|
| 2291 |
+
- type: main_score
|
| 2292 |
+
value: 82.964446670005
|
| 2293 |
+
- type: precision
|
| 2294 |
+
value: 81.4104490068436
|
| 2295 |
+
- type: recall
|
| 2296 |
+
value: 86.52979469203805
|
| 2297 |
+
task:
|
| 2298 |
+
type: BitextMining
|
| 2299 |
+
- dataset:
|
| 2300 |
+
config: zul_Latn-hun_Latn
|
| 2301 |
+
name: MTEB NTREXBitextMining (zul_Latn-hun_Latn)
|
| 2302 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 2303 |
+
split: test
|
| 2304 |
+
type: mteb/NTREX
|
| 2305 |
+
metrics:
|
| 2306 |
+
- type: accuracy
|
| 2307 |
+
value: 54.98247371056585
|
| 2308 |
+
- type: f1
|
| 2309 |
+
value: 48.79136275731169
|
| 2310 |
+
- type: main_score
|
| 2311 |
+
value: 48.79136275731169
|
| 2312 |
+
- type: precision
|
| 2313 |
+
value: 46.53637850035387
|
| 2314 |
+
- type: recall
|
| 2315 |
+
value: 54.98247371056585
|
| 2316 |
+
task:
|
| 2317 |
+
type: BitextMining
|
| 2318 |
+
- dataset:
|
| 2319 |
+
config: rom-hun
|
| 2320 |
+
name: MTEB RomaTalesBitextMining (rom-hun)
|
| 2321 |
+
revision: f4394dbca6845743cd33eba77431767b232ef489
|
| 2322 |
+
split: test
|
| 2323 |
+
type: kardosdrur/roma-tales
|
| 2324 |
+
metrics:
|
| 2325 |
+
- type: accuracy
|
| 2326 |
+
value: 10.69767441860465
|
| 2327 |
+
- type: f1
|
| 2328 |
+
value: 6.300343882963222
|
| 2329 |
+
- type: main_score
|
| 2330 |
+
value: 6.300343882963222
|
| 2331 |
+
- type: precision
|
| 2332 |
+
value: 5.2912513842746405
|
| 2333 |
+
- type: recall
|
| 2334 |
+
value: 10.69767441860465
|
| 2335 |
+
task:
|
| 2336 |
+
type: BitextMining
|
| 2337 |
+
- dataset:
|
| 2338 |
+
config: hun_Latn
|
| 2339 |
+
name: MTEB SIB200Classification (hun_Latn)
|
| 2340 |
+
revision: a74d7350ea12af010cfb1c21e34f1f81fd2e615b
|
| 2341 |
+
split: test
|
| 2342 |
+
type: mteb/sib200
|
| 2343 |
+
metrics:
|
| 2344 |
+
- type: accuracy
|
| 2345 |
+
value: 70.7843137254902
|
| 2346 |
+
- type: f1
|
| 2347 |
+
value: 69.54715341688494
|
| 2348 |
+
- type: f1_weighted
|
| 2349 |
+
value: 70.80982490835149
|
| 2350 |
+
- type: main_score
|
| 2351 |
+
value: 70.7843137254902
|
| 2352 |
+
task:
|
| 2353 |
+
type: Classification
|
| 2354 |
+
- dataset:
|
| 2355 |
+
config: hun_Latn
|
| 2356 |
+
name: MTEB SIB200Classification (hun_Latn)
|
| 2357 |
+
revision: a74d7350ea12af010cfb1c21e34f1f81fd2e615b
|
| 2358 |
+
split: train
|
| 2359 |
+
type: mteb/sib200
|
| 2360 |
+
metrics:
|
| 2361 |
+
- type: accuracy
|
| 2362 |
+
value: 71.04136947218261
|
| 2363 |
+
- type: f1
|
| 2364 |
+
value: 69.53067958950989
|
| 2365 |
+
- type: f1_weighted
|
| 2366 |
+
value: 71.08855534234819
|
| 2367 |
+
- type: main_score
|
| 2368 |
+
value: 71.04136947218261
|
| 2369 |
+
task:
|
| 2370 |
+
type: Classification
|
| 2371 |
+
- dataset:
|
| 2372 |
+
config: hun_Latn
|
| 2373 |
+
name: MTEB SIB200Classification (hun_Latn)
|
| 2374 |
+
revision: a74d7350ea12af010cfb1c21e34f1f81fd2e615b
|
| 2375 |
+
split: validation
|
| 2376 |
+
type: mteb/sib200
|
| 2377 |
+
metrics:
|
| 2378 |
+
- type: accuracy
|
| 2379 |
+
value: 67.77777777777779
|
| 2380 |
+
- type: f1
|
| 2381 |
+
value: 65.81682696212664
|
| 2382 |
+
- type: f1_weighted
|
| 2383 |
+
value: 68.15630936254685
|
| 2384 |
+
- type: main_score
|
| 2385 |
+
value: 67.77777777777779
|
| 2386 |
+
task:
|
| 2387 |
+
type: Classification
|
| 2388 |
+
- dataset:
|
| 2389 |
+
config: hun_Latn
|
| 2390 |
+
name: MTEB SIB200ClusteringS2S (hun_Latn)
|
| 2391 |
+
revision: a74d7350ea12af010cfb1c21e34f1f81fd2e615b
|
| 2392 |
+
split: test
|
| 2393 |
+
type: mteb/sib200
|
| 2394 |
+
metrics:
|
| 2395 |
+
- type: main_score
|
| 2396 |
+
value: 37.555486757695725
|
| 2397 |
+
- type: v_measure
|
| 2398 |
+
value: 37.555486757695725
|
| 2399 |
+
- type: v_measure_std
|
| 2400 |
+
value: 5.704486435014278
|
| 2401 |
+
task:
|
| 2402 |
+
type: Clustering
|
| 2403 |
+
- dataset:
|
| 2404 |
+
config: hun-eng
|
| 2405 |
+
name: MTEB Tatoeba (hun-eng)
|
| 2406 |
+
revision: 69e8f12da6e31d59addadda9a9c8a2e601a0e282
|
| 2407 |
+
split: test
|
| 2408 |
+
type: mteb/tatoeba-bitext-mining
|
| 2409 |
+
metrics:
|
| 2410 |
+
- type: accuracy
|
| 2411 |
+
value: 80.9
|
| 2412 |
+
- type: f1
|
| 2413 |
+
value: 76.77888888888889
|
| 2414 |
+
- type: main_score
|
| 2415 |
+
value: 76.77888888888889
|
| 2416 |
+
- type: precision
|
| 2417 |
+
value: 74.9825
|
| 2418 |
+
- type: recall
|
| 2419 |
+
value: 80.9
|
| 2420 |
+
task:
|
| 2421 |
+
type: BitextMining
|
| 2422 |
+
tags:
|
| 2423 |
+
- mteb
|
| 2424 |
+
---
|
| 2425 |
+
|
| 2426 |
base_model: Alibaba-NLP/gte-multilingual-base
|
| 2427 |
language:
|
| 2428 |
- hu
|