Update README.md
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README.md
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@@ -1,3 +1,2428 @@
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|
| 1 |
---
|
| 2 |
base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
| 3 |
language:
|
|
|
|
| 1 |
+
---
|
| 2 |
+
model-index:
|
| 3 |
+
- name: karsar/paraphrase-multilingual-MiniLM-L12-hu_v1
|
| 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: 77.865
|
| 14 |
+
- type: map_at_1
|
| 15 |
+
value: 67.333
|
| 16 |
+
- type: map_at_10
|
| 17 |
+
value: 74.404
|
| 18 |
+
- type: map_at_100
|
| 19 |
+
value: 74.802
|
| 20 |
+
- type: map_at_1000
|
| 21 |
+
value: 74.809
|
| 22 |
+
- type: map_at_20
|
| 23 |
+
value: 74.63
|
| 24 |
+
- type: map_at_3
|
| 25 |
+
value: 72.796
|
| 26 |
+
- type: map_at_5
|
| 27 |
+
value: 73.67399999999999
|
| 28 |
+
- type: mrr_at_1
|
| 29 |
+
value: 67.33333333333333
|
| 30 |
+
- type: mrr_at_10
|
| 31 |
+
value: 74.40396825396829
|
| 32 |
+
- type: mrr_at_100
|
| 33 |
+
value: 74.80177264047548
|
| 34 |
+
- type: mrr_at_1000
|
| 35 |
+
value: 74.80937346439818
|
| 36 |
+
- type: mrr_at_20
|
| 37 |
+
value: 74.62979204843244
|
| 38 |
+
- type: mrr_at_3
|
| 39 |
+
value: 72.7962962962963
|
| 40 |
+
- type: mrr_at_5
|
| 41 |
+
value: 73.6740740740741
|
| 42 |
+
- type: nauc_map_at_1000_diff1
|
| 43 |
+
value: 76.08133094195743
|
| 44 |
+
- type: nauc_map_at_1000_max
|
| 45 |
+
value: 61.727834175182736
|
| 46 |
+
- type: nauc_map_at_1000_std
|
| 47 |
+
value: -2.3231732437794568
|
| 48 |
+
- type: nauc_map_at_100_diff1
|
| 49 |
+
value: 76.07916259051902
|
| 50 |
+
- type: nauc_map_at_100_max
|
| 51 |
+
value: 61.72703450852774
|
| 52 |
+
- type: nauc_map_at_100_std
|
| 53 |
+
value: -2.3175338063349575
|
| 54 |
+
- type: nauc_map_at_10_diff1
|
| 55 |
+
value: 75.97996147738112
|
| 56 |
+
- type: nauc_map_at_10_max
|
| 57 |
+
value: 61.860784493617224
|
| 58 |
+
- type: nauc_map_at_10_std
|
| 59 |
+
value: -2.4887315051072356
|
| 60 |
+
- type: nauc_map_at_1_diff1
|
| 61 |
+
value: 78.13561632940586
|
| 62 |
+
- type: nauc_map_at_1_max
|
| 63 |
+
value: 59.243520843511746
|
| 64 |
+
- type: nauc_map_at_1_std
|
| 65 |
+
value: -2.6689239089679515
|
| 66 |
+
- type: nauc_map_at_20_diff1
|
| 67 |
+
value: 76.06883452011327
|
| 68 |
+
- type: nauc_map_at_20_max
|
| 69 |
+
value: 61.775589074510826
|
| 70 |
+
- type: nauc_map_at_20_std
|
| 71 |
+
value: -2.3905575770447585
|
| 72 |
+
- type: nauc_map_at_3_diff1
|
| 73 |
+
value: 75.85937006372846
|
| 74 |
+
- type: nauc_map_at_3_max
|
| 75 |
+
value: 61.819093557650895
|
| 76 |
+
- type: nauc_map_at_3_std
|
| 77 |
+
value: -2.5207238945764647
|
| 78 |
+
- type: nauc_map_at_5_diff1
|
| 79 |
+
value: 76.06929563357589
|
| 80 |
+
- type: nauc_map_at_5_max
|
| 81 |
+
value: 61.93563829360039
|
| 82 |
+
- type: nauc_map_at_5_std
|
| 83 |
+
value: -1.9424637593671918
|
| 84 |
+
- type: nauc_mrr_at_1000_diff1
|
| 85 |
+
value: 76.08133094195743
|
| 86 |
+
- type: nauc_mrr_at_1000_max
|
| 87 |
+
value: 61.727834175182736
|
| 88 |
+
- type: nauc_mrr_at_1000_std
|
| 89 |
+
value: -2.3231732437794568
|
| 90 |
+
- type: nauc_mrr_at_100_diff1
|
| 91 |
+
value: 76.07916259051902
|
| 92 |
+
- type: nauc_mrr_at_100_max
|
| 93 |
+
value: 61.72703450852774
|
| 94 |
+
- type: nauc_mrr_at_100_std
|
| 95 |
+
value: -2.3175338063349575
|
| 96 |
+
- type: nauc_mrr_at_10_diff1
|
| 97 |
+
value: 75.97996147738112
|
| 98 |
+
- type: nauc_mrr_at_10_max
|
| 99 |
+
value: 61.860784493617224
|
| 100 |
+
- type: nauc_mrr_at_10_std
|
| 101 |
+
value: -2.4887315051072356
|
| 102 |
+
- type: nauc_mrr_at_1_diff1
|
| 103 |
+
value: 78.13561632940586
|
| 104 |
+
- type: nauc_mrr_at_1_max
|
| 105 |
+
value: 59.243520843511746
|
| 106 |
+
- type: nauc_mrr_at_1_std
|
| 107 |
+
value: -2.6689239089679515
|
| 108 |
+
- type: nauc_mrr_at_20_diff1
|
| 109 |
+
value: 76.06883452011327
|
| 110 |
+
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value: 99.8
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value: 74.024
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value: 78.378
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| 1206 |
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type: Retrieval
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| 1207 |
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|
| 1208 |
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config: hu
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| 1209 |
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name: MTEB MassiveIntentClassification (hu)
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| 1210 |
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| 1211 |
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split: test
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| 1212 |
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type: mteb/amazon_massive_intent
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metrics:
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| 1214 |
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- type: accuracy
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| 1215 |
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value: 60.08406186953599
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| 1223 |
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type: Classification
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| 1224 |
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- dataset:
|
| 1225 |
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config: hu
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| 1226 |
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name: MTEB MassiveIntentClassification (hu)
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| 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
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| 1230 |
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metrics:
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| 1231 |
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- type: accuracy
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| 1232 |
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value: 60.201672405312344
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value: 60.201672405312344
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| 1240 |
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type: Classification
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| 1241 |
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| 1242 |
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config: hu
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| 1243 |
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name: MTEB MassiveScenarioClassification (hu)
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| 1244 |
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| 1245 |
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split: test
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| 1246 |
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type: mteb/amazon_massive_scenario
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| 1247 |
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metrics:
|
| 1248 |
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| 1249 |
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value: 66.61398789509079
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| 1250 |
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value: 66.61398789509079
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| 1256 |
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| 1257 |
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type: Classification
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| 1258 |
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- dataset:
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| 1259 |
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config: hu
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| 1260 |
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name: MTEB MassiveScenarioClassification (hu)
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| 1261 |
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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| 1262 |
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split: validation
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| 1263 |
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type: mteb/amazon_massive_scenario
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| 1264 |
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metrics:
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| 1265 |
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| 1266 |
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value: 66.11411706837187
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| 1270 |
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| 1271 |
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| 1273 |
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| 1274 |
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type: Classification
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| 1275 |
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| 1276 |
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config: hu
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| 1277 |
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name: MTEB MultiEURLEXMultilabelClassification (hu)
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| 1278 |
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| 1279 |
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split: test
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| 1280 |
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type: mteb/eurlex-multilingual
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| 1281 |
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metrics:
|
| 1282 |
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| 1283 |
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value: 3.0839999999999996
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value: 27.860225486785566
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value: 3.0839999999999996
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| 1290 |
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task:
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| 1291 |
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type: MultilabelClassification
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| 1292 |
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| 1293 |
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config: arb_Arab-hun_Latn
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| 1294 |
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name: MTEB NTREXBitextMining (arb_Arab-hun_Latn)
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| 1295 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1296 |
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| 1297 |
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type: mteb/NTREX
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| 1298 |
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| 1299 |
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| 1300 |
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value: 85.678517776665
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value: 85.678517776665
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task:
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| 1310 |
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type: BitextMining
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| 1312 |
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config: ben_Beng-hun_Latn
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| 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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| 1318 |
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| 1319 |
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value: 44.566850275413124
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task:
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| 1329 |
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type: BitextMining
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| 1331 |
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config: deu_Latn-hun_Latn
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| 1332 |
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name: MTEB NTREXBitextMining (deu_Latn-hun_Latn)
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| 1333 |
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| 1338 |
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value: 93.44016024036054
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value: 93.44016024036054
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| 1347 |
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task:
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| 1348 |
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type: BitextMining
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| 1349 |
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| 1350 |
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config: ell_Grek-hun_Latn
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| 1351 |
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name: MTEB NTREXBitextMining (ell_Grek-hun_Latn)
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| 1352 |
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| 1353 |
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| 1354 |
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| 1357 |
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value: 91.4371557336004
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task:
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| 1367 |
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type: BitextMining
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| 1368 |
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| 1369 |
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config: eng_Latn-hun_Latn
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| 1370 |
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name: MTEB NTREXBitextMining (eng_Latn-hun_Latn)
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| 1371 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1372 |
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| 1373 |
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| 1374 |
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metrics:
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| 1375 |
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| 1376 |
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value: 94.44166249374061
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value: 94.44166249374061
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task:
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| 1386 |
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type: BitextMining
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| 1387 |
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| 1388 |
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config: fas_Arab-hun_Latn
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| 1389 |
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name: MTEB NTREXBitextMining (fas_Arab-hun_Latn)
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| 1390 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1391 |
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split: test
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type: mteb/NTREX
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| 1393 |
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| 1394 |
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| 1395 |
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value: 89.53430145217827
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| 1400 |
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| 1401 |
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value: 89.53430145217827
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| 1404 |
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task:
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| 1405 |
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type: BitextMining
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| 1406 |
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| 1407 |
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config: fin_Latn-hun_Latn
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| 1408 |
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name: MTEB NTREXBitextMining (fin_Latn-hun_Latn)
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| 1409 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1410 |
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split: test
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| 1411 |
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type: mteb/NTREX
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| 1412 |
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metrics:
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| 1413 |
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| 1414 |
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value: 90.98647971957938
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| 1422 |
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value: 90.98647971957938
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| 1423 |
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task:
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| 1424 |
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| 1425 |
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| 1426 |
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config: fra_Latn-hun_Latn
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| 1427 |
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name: MTEB NTREXBitextMining (fra_Latn-hun_Latn)
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| 1428 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1429 |
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split: test
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metrics:
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| 1433 |
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value: 92.28843264897347
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| 1442 |
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task:
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| 1443 |
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| 1445 |
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config: heb_Hebr-hun_Latn
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| 1446 |
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name: MTEB NTREXBitextMining (heb_Hebr-hun_Latn)
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| 1447 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1448 |
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| 1449 |
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| 1451 |
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| 1452 |
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value: 87.33099649474211
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task:
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| 1462 |
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| 1463 |
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| 1464 |
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config: hin_Deva-hun_Latn
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| 1465 |
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name: MTEB NTREXBitextMining (hin_Deva-hun_Latn)
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| 1466 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
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| 1467 |
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| 1469 |
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metrics:
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| 1470 |
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| 1471 |
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| 1479 |
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value: 86.52979469203805
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| 1480 |
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task:
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| 1481 |
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type: BitextMining
|
| 1482 |
+
- dataset:
|
| 1483 |
+
config: hun_Latn-arb_Arab
|
| 1484 |
+
name: MTEB NTREXBitextMining (hun_Latn-arb_Arab)
|
| 1485 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1486 |
+
split: test
|
| 1487 |
+
type: mteb/NTREX
|
| 1488 |
+
metrics:
|
| 1489 |
+
- type: accuracy
|
| 1490 |
+
value: 86.73009514271406
|
| 1491 |
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- type: f1
|
| 1492 |
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value: 83.12397167179341
|
| 1493 |
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- type: main_score
|
| 1494 |
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value: 83.12397167179341
|
| 1495 |
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- type: precision
|
| 1496 |
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value: 81.47805040894676
|
| 1497 |
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- type: recall
|
| 1498 |
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value: 86.73009514271406
|
| 1499 |
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task:
|
| 1500 |
+
type: BitextMining
|
| 1501 |
+
- dataset:
|
| 1502 |
+
config: hun_Latn-ben_Beng
|
| 1503 |
+
name: MTEB NTREXBitextMining (hun_Latn-ben_Beng)
|
| 1504 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1505 |
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split: test
|
| 1506 |
+
type: mteb/NTREX
|
| 1507 |
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metrics:
|
| 1508 |
+
- type: accuracy
|
| 1509 |
+
value: 41.16174261392088
|
| 1510 |
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- type: f1
|
| 1511 |
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value: 32.73025519520262
|
| 1512 |
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- type: main_score
|
| 1513 |
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value: 32.73025519520262
|
| 1514 |
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- type: precision
|
| 1515 |
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value: 29.859172986363774
|
| 1516 |
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- type: recall
|
| 1517 |
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value: 41.16174261392088
|
| 1518 |
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task:
|
| 1519 |
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type: BitextMining
|
| 1520 |
+
- dataset:
|
| 1521 |
+
config: hun_Latn-deu_Latn
|
| 1522 |
+
name: MTEB NTREXBitextMining (hun_Latn-deu_Latn)
|
| 1523 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1524 |
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split: test
|
| 1525 |
+
type: mteb/NTREX
|
| 1526 |
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metrics:
|
| 1527 |
+
- type: accuracy
|
| 1528 |
+
value: 93.39008512769153
|
| 1529 |
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- type: f1
|
| 1530 |
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value: 91.5456518110499
|
| 1531 |
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- type: main_score
|
| 1532 |
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value: 91.5456518110499
|
| 1533 |
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- type: precision
|
| 1534 |
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value: 90.66099148723085
|
| 1535 |
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- type: recall
|
| 1536 |
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value: 93.39008512769153
|
| 1537 |
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task:
|
| 1538 |
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type: BitextMining
|
| 1539 |
+
- dataset:
|
| 1540 |
+
config: hun_Latn-ell_Grek
|
| 1541 |
+
name: MTEB NTREXBitextMining (hun_Latn-ell_Grek)
|
| 1542 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1543 |
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split: test
|
| 1544 |
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type: mteb/NTREX
|
| 1545 |
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metrics:
|
| 1546 |
+
- type: accuracy
|
| 1547 |
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value: 92.03805708562844
|
| 1548 |
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- type: f1
|
| 1549 |
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value: 89.81305291270239
|
| 1550 |
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- type: main_score
|
| 1551 |
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value: 89.81305291270239
|
| 1552 |
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- type: precision
|
| 1553 |
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value: 88.78317476214322
|
| 1554 |
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- type: recall
|
| 1555 |
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value: 92.03805708562844
|
| 1556 |
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task:
|
| 1557 |
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type: BitextMining
|
| 1558 |
+
- dataset:
|
| 1559 |
+
config: hun_Latn-eng_Latn
|
| 1560 |
+
name: MTEB NTREXBitextMining (hun_Latn-eng_Latn)
|
| 1561 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1562 |
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split: test
|
| 1563 |
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type: mteb/NTREX
|
| 1564 |
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metrics:
|
| 1565 |
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- type: accuracy
|
| 1566 |
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value: 94.74211316975463
|
| 1567 |
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- type: f1
|
| 1568 |
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value: 93.23985978968453
|
| 1569 |
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- type: main_score
|
| 1570 |
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value: 93.23985978968453
|
| 1571 |
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- type: precision
|
| 1572 |
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value: 92.51377065598398
|
| 1573 |
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- type: recall
|
| 1574 |
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value: 94.74211316975463
|
| 1575 |
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task:
|
| 1576 |
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type: BitextMining
|
| 1577 |
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- dataset:
|
| 1578 |
+
config: hun_Latn-fas_Arab
|
| 1579 |
+
name: MTEB NTREXBitextMining (hun_Latn-fas_Arab)
|
| 1580 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1581 |
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split: test
|
| 1582 |
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type: mteb/NTREX
|
| 1583 |
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metrics:
|
| 1584 |
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- type: accuracy
|
| 1585 |
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value: 88.5327991987982
|
| 1586 |
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- type: f1
|
| 1587 |
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value: 85.49240527457853
|
| 1588 |
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- type: main_score
|
| 1589 |
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value: 85.49240527457853
|
| 1590 |
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- type: precision
|
| 1591 |
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value: 84.10413238905979
|
| 1592 |
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- type: recall
|
| 1593 |
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value: 88.5327991987982
|
| 1594 |
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task:
|
| 1595 |
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type: BitextMining
|
| 1596 |
+
- dataset:
|
| 1597 |
+
config: hun_Latn-fin_Latn
|
| 1598 |
+
name: MTEB NTREXBitextMining (hun_Latn-fin_Latn)
|
| 1599 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1600 |
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split: test
|
| 1601 |
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type: mteb/NTREX
|
| 1602 |
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metrics:
|
| 1603 |
+
- type: accuracy
|
| 1604 |
+
value: 90.23535302954431
|
| 1605 |
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- type: f1
|
| 1606 |
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value: 87.53296611584042
|
| 1607 |
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- type: main_score
|
| 1608 |
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value: 87.53296611584042
|
| 1609 |
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- type: precision
|
| 1610 |
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value: 86.26690035052579
|
| 1611 |
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- type: recall
|
| 1612 |
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value: 90.23535302954431
|
| 1613 |
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task:
|
| 1614 |
+
type: BitextMining
|
| 1615 |
+
- dataset:
|
| 1616 |
+
config: hun_Latn-fra_Latn
|
| 1617 |
+
name: MTEB NTREXBitextMining (hun_Latn-fra_Latn)
|
| 1618 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1619 |
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split: test
|
| 1620 |
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type: mteb/NTREX
|
| 1621 |
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metrics:
|
| 1622 |
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- type: accuracy
|
| 1623 |
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value: 92.63895843765648
|
| 1624 |
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- type: f1
|
| 1625 |
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value: 90.47070605908863
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| 1626 |
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- type: main_score
|
| 1627 |
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value: 90.47070605908863
|
| 1628 |
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- type: precision
|
| 1629 |
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value: 89.42163244867301
|
| 1630 |
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- type: recall
|
| 1631 |
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value: 92.63895843765648
|
| 1632 |
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task:
|
| 1633 |
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type: BitextMining
|
| 1634 |
+
- dataset:
|
| 1635 |
+
config: hun_Latn-heb_Hebr
|
| 1636 |
+
name: MTEB NTREXBitextMining (hun_Latn-heb_Hebr)
|
| 1637 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1638 |
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split: test
|
| 1639 |
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type: mteb/NTREX
|
| 1640 |
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metrics:
|
| 1641 |
+
- type: accuracy
|
| 1642 |
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value: 86.62994491737606
|
| 1643 |
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- type: f1
|
| 1644 |
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value: 83.19388173168845
|
| 1645 |
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- type: main_score
|
| 1646 |
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value: 83.19388173168845
|
| 1647 |
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- type: precision
|
| 1648 |
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value: 81.65832081455517
|
| 1649 |
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- type: recall
|
| 1650 |
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value: 86.62994491737606
|
| 1651 |
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task:
|
| 1652 |
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type: BitextMining
|
| 1653 |
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- dataset:
|
| 1654 |
+
config: hun_Latn-hin_Deva
|
| 1655 |
+
name: MTEB NTREXBitextMining (hun_Latn-hin_Deva)
|
| 1656 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1657 |
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split: test
|
| 1658 |
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type: mteb/NTREX
|
| 1659 |
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metrics:
|
| 1660 |
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- type: accuracy
|
| 1661 |
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value: 83.97596394591888
|
| 1662 |
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- type: f1
|
| 1663 |
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value: 79.85502062617736
|
| 1664 |
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- type: main_score
|
| 1665 |
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value: 79.85502062617736
|
| 1666 |
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- type: precision
|
| 1667 |
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value: 78.01758192844824
|
| 1668 |
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- type: recall
|
| 1669 |
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value: 83.97596394591888
|
| 1670 |
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task:
|
| 1671 |
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type: BitextMining
|
| 1672 |
+
- dataset:
|
| 1673 |
+
config: hun_Latn-ind_Latn
|
| 1674 |
+
name: MTEB NTREXBitextMining (hun_Latn-ind_Latn)
|
| 1675 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1676 |
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split: test
|
| 1677 |
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type: mteb/NTREX
|
| 1678 |
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metrics:
|
| 1679 |
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- type: accuracy
|
| 1680 |
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value: 92.68903355032549
|
| 1681 |
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- type: f1
|
| 1682 |
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value: 90.64596895343014
|
| 1683 |
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- type: main_score
|
| 1684 |
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value: 90.64596895343014
|
| 1685 |
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- type: precision
|
| 1686 |
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value: 89.68869971624103
|
| 1687 |
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- type: recall
|
| 1688 |
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value: 92.68903355032549
|
| 1689 |
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task:
|
| 1690 |
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type: BitextMining
|
| 1691 |
+
- dataset:
|
| 1692 |
+
config: hun_Latn-jpn_Jpan
|
| 1693 |
+
name: MTEB NTREXBitextMining (hun_Latn-jpn_Jpan)
|
| 1694 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1695 |
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split: test
|
| 1696 |
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type: mteb/NTREX
|
| 1697 |
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metrics:
|
| 1698 |
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- type: accuracy
|
| 1699 |
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value: 85.778668002003
|
| 1700 |
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- type: f1
|
| 1701 |
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value: 82.19829744616925
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| 1702 |
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- type: main_score
|
| 1703 |
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value: 82.19829744616925
|
| 1704 |
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- type: precision
|
| 1705 |
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value: 80.62426973794025
|
| 1706 |
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- type: recall
|
| 1707 |
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value: 85.778668002003
|
| 1708 |
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task:
|
| 1709 |
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type: BitextMining
|
| 1710 |
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- dataset:
|
| 1711 |
+
config: hun_Latn-kor_Hang
|
| 1712 |
+
name: MTEB NTREXBitextMining (hun_Latn-kor_Hang)
|
| 1713 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1714 |
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split: test
|
| 1715 |
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type: mteb/NTREX
|
| 1716 |
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metrics:
|
| 1717 |
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- type: accuracy
|
| 1718 |
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value: 84.17626439659489
|
| 1719 |
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- type: f1
|
| 1720 |
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value: 80.26746468909714
|
| 1721 |
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- type: main_score
|
| 1722 |
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value: 80.26746468909714
|
| 1723 |
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- type: precision
|
| 1724 |
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value: 78.5646097351155
|
| 1725 |
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- type: recall
|
| 1726 |
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value: 84.17626439659489
|
| 1727 |
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task:
|
| 1728 |
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type: BitextMining
|
| 1729 |
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- dataset:
|
| 1730 |
+
config: hun_Latn-lav_Latn
|
| 1731 |
+
name: MTEB NTREXBitextMining (hun_Latn-lav_Latn)
|
| 1732 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1733 |
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split: test
|
| 1734 |
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type: mteb/NTREX
|
| 1735 |
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metrics:
|
| 1736 |
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- type: accuracy
|
| 1737 |
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value: 90.1352028042063
|
| 1738 |
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- type: f1
|
| 1739 |
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value: 87.30262059756302
|
| 1740 |
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- type: main_score
|
| 1741 |
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value: 87.30262059756302
|
| 1742 |
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- type: precision
|
| 1743 |
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value: 85.98731430479052
|
| 1744 |
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- type: recall
|
| 1745 |
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value: 90.1352028042063
|
| 1746 |
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task:
|
| 1747 |
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type: BitextMining
|
| 1748 |
+
- dataset:
|
| 1749 |
+
config: hun_Latn-lit_Latn
|
| 1750 |
+
name: MTEB NTREXBitextMining (hun_Latn-lit_Latn)
|
| 1751 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1752 |
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split: test
|
| 1753 |
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type: mteb/NTREX
|
| 1754 |
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metrics:
|
| 1755 |
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- type: accuracy
|
| 1756 |
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value: 89.58437656484726
|
| 1757 |
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- type: f1
|
| 1758 |
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value: 86.8252378567852
|
| 1759 |
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- type: main_score
|
| 1760 |
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value: 86.8252378567852
|
| 1761 |
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- type: precision
|
| 1762 |
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value: 85.54581872809214
|
| 1763 |
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- type: recall
|
| 1764 |
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value: 89.58437656484726
|
| 1765 |
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task:
|
| 1766 |
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type: BitextMining
|
| 1767 |
+
- dataset:
|
| 1768 |
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config: hun_Latn-nld_Latn
|
| 1769 |
+
name: MTEB NTREXBitextMining (hun_Latn-nld_Latn)
|
| 1770 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1771 |
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split: test
|
| 1772 |
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type: mteb/NTREX
|
| 1773 |
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metrics:
|
| 1774 |
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- type: accuracy
|
| 1775 |
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value: 93.03955933900852
|
| 1776 |
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- type: f1
|
| 1777 |
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value: 91.03989317309296
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| 1778 |
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| 1779 |
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value: 91.03989317309296
|
| 1780 |
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| 1781 |
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value: 90.08930061759305
|
| 1782 |
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- type: recall
|
| 1783 |
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value: 93.03955933900852
|
| 1784 |
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task:
|
| 1785 |
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type: BitextMining
|
| 1786 |
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- dataset:
|
| 1787 |
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config: hun_Latn-pol_Latn
|
| 1788 |
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name: MTEB NTREXBitextMining (hun_Latn-pol_Latn)
|
| 1789 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1790 |
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split: test
|
| 1791 |
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type: mteb/NTREX
|
| 1792 |
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metrics:
|
| 1793 |
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- type: accuracy
|
| 1794 |
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value: 91.58738107160741
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| 1795 |
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|
| 1796 |
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value: 89.28225671841095
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| 1798 |
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value: 89.28225671841095
|
| 1799 |
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|
| 1800 |
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value: 88.18227341011517
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| 1801 |
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- type: recall
|
| 1802 |
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value: 91.58738107160741
|
| 1803 |
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task:
|
| 1804 |
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type: BitextMining
|
| 1805 |
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- dataset:
|
| 1806 |
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config: hun_Latn-por_Latn
|
| 1807 |
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name: MTEB NTREXBitextMining (hun_Latn-por_Latn)
|
| 1808 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1809 |
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split: test
|
| 1810 |
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type: mteb/NTREX
|
| 1811 |
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metrics:
|
| 1812 |
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- type: accuracy
|
| 1813 |
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value: 93.59038557836755
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| 1814 |
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- type: f1
|
| 1815 |
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value: 91.71256885327992
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value: 91.71256885327992
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| 1818 |
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|
| 1819 |
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value: 90.80287097312635
|
| 1820 |
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- type: recall
|
| 1821 |
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value: 93.59038557836755
|
| 1822 |
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task:
|
| 1823 |
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type: BitextMining
|
| 1824 |
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- dataset:
|
| 1825 |
+
config: hun_Latn-rus_Cyrl
|
| 1826 |
+
name: MTEB NTREXBitextMining (hun_Latn-rus_Cyrl)
|
| 1827 |
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revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1828 |
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split: test
|
| 1829 |
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type: mteb/NTREX
|
| 1830 |
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metrics:
|
| 1831 |
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- type: accuracy
|
| 1832 |
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value: 91.3370055082624
|
| 1833 |
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|
| 1834 |
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value: 88.88916708395926
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value: 88.88916708395926
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| 1837 |
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|
| 1838 |
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value: 87.75961561389704
|
| 1839 |
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- type: recall
|
| 1840 |
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value: 91.3370055082624
|
| 1841 |
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task:
|
| 1842 |
+
type: BitextMining
|
| 1843 |
+
- dataset:
|
| 1844 |
+
config: hun_Latn-spa_Latn
|
| 1845 |
+
name: MTEB NTREXBitextMining (hun_Latn-spa_Latn)
|
| 1846 |
+
revision: ed9a4403ed4adbfaf4aab56d5b2709e9f6c3ba33
|
| 1847 |
+
split: test
|
| 1848 |
+
type: mteb/NTREX
|
| 1849 |
+
metrics:
|
| 1850 |
+
- type: accuracy
|
| 1851 |
+
value: 93.69053580370556
|
| 1852 |
+
- type: f1
|
| 1853 |
+
value: 91.94959105324652
|
| 1854 |
+
- type: main_score
|
| 1855 |
+
value: 91.94959105324652
|
| 1856 |
+
- type: precision
|
| 1857 |
+
value: 91.12418627941913
|
| 1858 |
+
- type: recall
|
| 1859 |
+
value: 93.69053580370556
|
| 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: 35.803705558337505
|
| 1871 |
+
- type: f1
|
| 1872 |
+
value: 27.79832969518814
|
| 1873 |
+
- type: main_score
|
| 1874 |
+
value: 27.79832969518814
|
| 1875 |
+
- type: precision
|
| 1876 |
+
value: 25.370895920971037
|
| 1877 |
+
- type: recall
|
| 1878 |
+
value: 35.803705558337505
|
| 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: 93.59038557836755
|
| 1890 |
+
- type: f1
|
| 1891 |
+
value: 91.66249374061091
|
| 1892 |
+
- type: main_score
|
| 1893 |
+
value: 91.66249374061091
|
| 1894 |
+
- type: precision
|
| 1895 |
+
value: 90.74445000834585
|
| 1896 |
+
- type: recall
|
| 1897 |
+
value: 93.59038557836755
|
| 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: 27.391086629944915
|
| 1909 |
+
- type: f1
|
| 1910 |
+
value: 19.094552675413095
|
| 1911 |
+
- type: main_score
|
| 1912 |
+
value: 19.094552675413095
|
| 1913 |
+
- type: precision
|
| 1914 |
+
value: 16.88288208814635
|
| 1915 |
+
- type: recall
|
| 1916 |
+
value: 27.391086629944915
|
| 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: 91.48723084626941
|
| 1928 |
+
- type: f1
|
| 1929 |
+
value: 89.11700884660323
|
| 1930 |
+
- type: main_score
|
| 1931 |
+
value: 89.11700884660323
|
| 1932 |
+
- type: precision
|
| 1933 |
+
value: 87.99031881155067
|
| 1934 |
+
- type: recall
|
| 1935 |
+
value: 91.48723084626941
|
| 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: 91.13670505758637
|
| 1947 |
+
- type: f1
|
| 1948 |
+
value: 88.6696711734268
|
| 1949 |
+
- type: main_score
|
| 1950 |
+
value: 88.6696711734268
|
| 1951 |
+
- type: precision
|
| 1952 |
+
value: 87.49374061091638
|
| 1953 |
+
- type: recall
|
| 1954 |
+
value: 91.13670505758637
|
| 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: 89.33400100150224
|
| 1966 |
+
- type: f1
|
| 1967 |
+
value: 86.55745523046474
|
| 1968 |
+
- type: main_score
|
| 1969 |
+
value: 86.55745523046474
|
| 1970 |
+
- type: precision
|
| 1971 |
+
value: 85.29794692038057
|
| 1972 |
+
- type: recall
|
| 1973 |
+
value: 89.33400100150224
|
| 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: 16.675012518778168
|
| 1985 |
+
- type: f1
|
| 1986 |
+
value: 11.21636405139599
|
| 1987 |
+
- type: main_score
|
| 1988 |
+
value: 11.21636405139599
|
| 1989 |
+
- type: precision
|
| 1990 |
+
value: 9.903070059112947
|
| 1991 |
+
- type: recall
|
| 1992 |
+
value: 16.675012518778168
|
| 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: 92.93940911367051
|
| 2004 |
+
- type: f1
|
| 2005 |
+
value: 90.96478050408946
|
| 2006 |
+
- type: main_score
|
| 2007 |
+
value: 90.96478050408946
|
| 2008 |
+
- type: precision
|
| 2009 |
+
value: 90.03922550492406
|
| 2010 |
+
- type: recall
|
| 2011 |
+
value: 92.93940911367051
|
| 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: 88.28242363545317
|
| 2023 |
+
- type: f1
|
| 2024 |
+
value: 85.11433817392756
|
| 2025 |
+
- type: main_score
|
| 2026 |
+
value: 85.11433817392756
|
| 2027 |
+
- type: precision
|
| 2028 |
+
value: 83.67551326990485
|
| 2029 |
+
- type: recall
|
| 2030 |
+
value: 88.28242363545317
|
| 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: 85.778668002003
|
| 2042 |
+
- type: f1
|
| 2043 |
+
value: 81.83608746453012
|
| 2044 |
+
- type: main_score
|
| 2045 |
+
value: 81.83608746453012
|
| 2046 |
+
- type: precision
|
| 2047 |
+
value: 80.0233683859122
|
| 2048 |
+
- type: recall
|
| 2049 |
+
value: 85.778668002003
|
| 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: 91.73760640961443
|
| 2061 |
+
- type: f1
|
| 2062 |
+
value: 89.42914371557336
|
| 2063 |
+
- type: main_score
|
| 2064 |
+
value: 89.42914371557336
|
| 2065 |
+
- type: precision
|
| 2066 |
+
value: 88.32832582206642
|
| 2067 |
+
- type: recall
|
| 2068 |
+
value: 91.73760640961443
|
| 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: 91.78768152228342
|
| 2080 |
+
- type: f1
|
| 2081 |
+
value: 89.50926389584376
|
| 2082 |
+
- type: main_score
|
| 2083 |
+
value: 89.50926389584376
|
| 2084 |
+
- type: precision
|
| 2085 |
+
value: 88.39926556501419
|
| 2086 |
+
- type: recall
|
| 2087 |
+
value: 91.78768152228342
|
| 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: 93.49023535302955
|
| 2099 |
+
- type: f1
|
| 2100 |
+
value: 91.6190953096311
|
| 2101 |
+
- type: main_score
|
| 2102 |
+
value: 91.6190953096311
|
| 2103 |
+
- type: precision
|
| 2104 |
+
value: 90.72775830412286
|
| 2105 |
+
- type: recall
|
| 2106 |
+
value: 93.49023535302955
|
| 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: 91.28693039559339
|
| 2118 |
+
- type: f1
|
| 2119 |
+
value: 88.99515940577533
|
| 2120 |
+
- type: main_score
|
| 2121 |
+
value: 88.99515940577533
|
| 2122 |
+
- type: precision
|
| 2123 |
+
value: 87.9293940911367
|
| 2124 |
+
- type: recall
|
| 2125 |
+
value: 91.28693039559339
|
| 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: 93.03955933900852
|
| 2137 |
+
- type: f1
|
| 2138 |
+
value: 91.08496077449509
|
| 2139 |
+
- type: main_score
|
| 2140 |
+
value: 91.08496077449509
|
| 2141 |
+
- type: precision
|
| 2142 |
+
value: 90.17860123518612
|
| 2143 |
+
- type: recall
|
| 2144 |
+
value: 93.03955933900852
|
| 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: 90.98647971957938
|
| 2156 |
+
- type: f1
|
| 2157 |
+
value: 88.43932565514937
|
| 2158 |
+
- type: main_score
|
| 2159 |
+
value: 88.43932565514937
|
| 2160 |
+
- type: precision
|
| 2161 |
+
value: 87.2475379736271
|
| 2162 |
+
- type: recall
|
| 2163 |
+
value: 90.98647971957938
|
| 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: 93.23985978968453
|
| 2175 |
+
- type: f1
|
| 2176 |
+
value: 91.3386746786847
|
| 2177 |
+
- type: main_score
|
| 2178 |
+
value: 91.3386746786847
|
| 2179 |
+
- type: precision
|
| 2180 |
+
value: 90.43148055416457
|
| 2181 |
+
- type: recall
|
| 2182 |
+
value: 93.23985978968453
|
| 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: 35.95393089634452
|
| 2194 |
+
- type: f1
|
| 2195 |
+
value: 30.612257939034187
|
| 2196 |
+
- type: main_score
|
| 2197 |
+
value: 30.612257939034187
|
| 2198 |
+
- type: precision
|
| 2199 |
+
value: 28.995078568906944
|
| 2200 |
+
- type: recall
|
| 2201 |
+
value: 35.95393089634452
|
| 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: 93.64046069103655
|
| 2213 |
+
- type: f1
|
| 2214 |
+
value: 91.86613253213153
|
| 2215 |
+
- type: main_score
|
| 2216 |
+
value: 91.86613253213153
|
| 2217 |
+
- type: precision
|
| 2218 |
+
value: 91.04072775830413
|
| 2219 |
+
- type: recall
|
| 2220 |
+
value: 93.64046069103655
|
| 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: 29.04356534802203
|
| 2232 |
+
- type: f1
|
| 2233 |
+
value: 25.164093122029808
|
| 2234 |
+
- type: main_score
|
| 2235 |
+
value: 25.164093122029808
|
| 2236 |
+
- type: precision
|
| 2237 |
+
value: 23.849573878565543
|
| 2238 |
+
- type: recall
|
| 2239 |
+
value: 29.04356534802203
|
| 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: 90.83625438157236
|
| 2251 |
+
- type: f1
|
| 2252 |
+
value: 88.36087464530128
|
| 2253 |
+
- type: main_score
|
| 2254 |
+
value: 88.36087464530128
|
| 2255 |
+
- type: precision
|
| 2256 |
+
value: 87.19829744616925
|
| 2257 |
+
- type: recall
|
| 2258 |
+
value: 90.83625438157236
|
| 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: 90.68602904356536
|
| 2270 |
+
- type: f1
|
| 2271 |
+
value: 88.10882991153397
|
| 2272 |
+
- type: main_score
|
| 2273 |
+
value: 88.10882991153397
|
| 2274 |
+
- type: precision
|
| 2275 |
+
value: 86.90118511099983
|
| 2276 |
+
- type: recall
|
| 2277 |
+
value: 90.68602904356536
|
| 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: 90.1352028042063
|
| 2289 |
+
- type: f1
|
| 2290 |
+
value: 87.46035720247039
|
| 2291 |
+
- type: main_score
|
| 2292 |
+
value: 87.46035720247039
|
| 2293 |
+
- type: precision
|
| 2294 |
+
value: 86.19810668383528
|
| 2295 |
+
- type: recall
|
| 2296 |
+
value: 90.1352028042063
|
| 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: 17.1256885327992
|
| 2308 |
+
- type: f1
|
| 2309 |
+
value: 13.692538409811572
|
| 2310 |
+
- type: main_score
|
| 2311 |
+
value: 13.692538409811572
|
| 2312 |
+
- type: precision
|
| 2313 |
+
value: 12.811084017018844
|
| 2314 |
+
- type: recall
|
| 2315 |
+
value: 17.1256885327992
|
| 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: 6.046511627906977
|
| 2327 |
+
- type: f1
|
| 2328 |
+
value: 2.950830564784053
|
| 2329 |
+
- type: main_score
|
| 2330 |
+
value: 2.950830564784053
|
| 2331 |
+
- type: precision
|
| 2332 |
+
value: 2.295127353266888
|
| 2333 |
+
- type: recall
|
| 2334 |
+
value: 6.046511627906977
|
| 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: 72.74509803921569
|
| 2346 |
+
- type: f1
|
| 2347 |
+
value: 71.6748881571977
|
| 2348 |
+
- type: f1_weighted
|
| 2349 |
+
value: 72.7699432186266
|
| 2350 |
+
- type: main_score
|
| 2351 |
+
value: 72.74509803921569
|
| 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: 71.92582025677605
|
| 2363 |
+
- type: f1
|
| 2364 |
+
value: 70.9175403606058
|
| 2365 |
+
- type: f1_weighted
|
| 2366 |
+
value: 71.9988920000764
|
| 2367 |
+
- type: main_score
|
| 2368 |
+
value: 71.92582025677605
|
| 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: 66.76767676767676
|
| 2380 |
+
- type: f1
|
| 2381 |
+
value: 66.07599012119566
|
| 2382 |
+
- type: f1_weighted
|
| 2383 |
+
value: 67.15823510190054
|
| 2384 |
+
- type: main_score
|
| 2385 |
+
value: 66.76767676767676
|
| 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: 39.24288169703154
|
| 2397 |
+
- type: v_measure
|
| 2398 |
+
value: 39.24288169703154
|
| 2399 |
+
- type: v_measure_std
|
| 2400 |
+
value: 2.214708184335194
|
| 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: 91.0
|
| 2412 |
+
- type: f1
|
| 2413 |
+
value: 88.47999999999999
|
| 2414 |
+
- type: main_score
|
| 2415 |
+
value: 88.47999999999999
|
| 2416 |
+
- type: precision
|
| 2417 |
+
value: 87.3
|
| 2418 |
+
- type: recall
|
| 2419 |
+
value: 91.0
|
| 2420 |
+
task:
|
| 2421 |
+
type: BitextMining
|
| 2422 |
+
tags:
|
| 2423 |
+
- mteb
|
| 2424 |
+
---
|
| 2425 |
+
|
| 2426 |
---
|
| 2427 |
base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
| 2428 |
language:
|