add russian models results

results.py

@@ -33,7 +33,7 @@ TRAIN_SPLIT = ["DanishPoliticalCommentsClassification"]
 # Use "validation" split instead
 VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "LEMBSummScreenFDRetrieval", "MSMARCO", "MSMARCO-PL", "MultilingualSentiment", "Ocnli", "TNews"]
 # Use "dev" split instead
-DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
+DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval", "TERRa",]
 # Use "test.full" split
 TESTFULL_SPLIT = ["OpusparcusPC"]
 # Use "standard" split
@@ -235,6 +235,15 @@ MODELS = [
     "voyage-multilingual-2",
     "xlm-roberta-base",
     "xlm-roberta-large",
+    "deberta-v1-base",
+    "USER-bge-m3",
+    "USER-base",
+    "rubert-tiny-turbo",
+    "LaBSE-ru-turbo",
+    "distilrubert-small-cased-conversational",
+    "rubert-base-cased",
+    "rubert-base-cased-sentence",
+    "LaBSE-en-ru",
 ]
 
 

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BUCC.v2.json

@@ -0,0 +1,23 @@
+{
+  "dataset_revision": "1739dc11ffe9b7bfccd7f3d585aeb4c544fc6677",
+  "evaluation_time": 16.575636386871338,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.12.85",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.9797713889851056,
+        "f1": 0.9734441750375247,
+        "hf_subset": "ru-en",
+        "languages": [
+          "rus-Cyrl",
+          "eng-Latn"
+        ],
+        "main_score": 0.9734441750375247,
+        "precision": 0.9702921140745872,
+        "recall": 0.9797713889851056
+      }
+    ]
+  },
+  "task_name": "BUCC.v2"
+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BelebeleRetrieval.json

@@ -0,0 +1,455 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BibleNLPBitextMining.json

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+  "task_name": "BibleNLPBitextMining"
+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/CEDRClassification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/CyrillicTurkicLangClassification.json

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+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/GeoreviewClassification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/GeoreviewClusteringP2P.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/HeadlineClassification.json

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+  "task_name": "HeadlineClassification"
+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/InappropriatenessClassification.json

@@ -0,0 +1,95 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/KinopoiskClassification.json

@@ -0,0 +1,73 @@
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+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/LanguageClassification.json

@@ -0,0 +1,92 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MLSUMClusteringP2P.json

@@ -0,0 +1,55 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MLSUMClusteringP2P.v2.json

@@ -0,0 +1,34 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MLSUMClusteringS2S.json

@@ -0,0 +1,55 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MLSUMClusteringS2S.v2.json

@@ -0,0 +1,59 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MassiveIntentClassification.json

@@ -0,0 +1,137 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MassiveScenarioClassification.json

@@ -0,0 +1,137 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MultiLongDocRetrieval.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/MultilingualSentimentClassification.json

@@ -0,0 +1,95 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/NTREXBitextMining.json

@@ -0,0 +1,899 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/OpusparcusPC.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/PublicHealthQA.json

@@ -0,0 +1,158 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RUParaPhraserSTS.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RiaNewsRetrieval.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuBQReranking.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuBQRetrieval.json

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+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuReviewsClassification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuSTSBenchmarkSTS.json

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+}

results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuSciBenchGRNTIClassification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuSciBenchGRNTIClusteringP2P.json

@@ -0,0 +1,34 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuSciBenchOECDClassification.json

@@ -0,0 +1,73 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/RuSciBenchOECDClusteringP2P.json

@@ -0,0 +1,34 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/SIB200Classification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/SIB200ClusteringS2S.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/STS22.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/STS22.v2.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/STSBenchmarkMultilingualSTS.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/SensitiveTopicsClassification.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/TERRa.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/Tatoeba.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/XNLI.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/XNLIV2.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/XQuADRetrieval.json

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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/model_meta.json

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results/LaBSE/e34fab64a3011d2176c99545a93d5cbddc9a91b7/GPUSpeedTask.json

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results/LaBSE/e34fab64a3011d2176c99545a93d5cbddc9a91b7/LanguageClassification.json

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results/LaBSE/e34fab64a3011d2176c99545a93d5cbddc9a91b7/MLSUMClusteringP2P.json

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