Muennighoff
commited on
Merge pull request #11 from Samoed/add_rusian_models
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- paths.json +0 -0
- results.py +16 -3
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BUCC.v2.json +23 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BelebeleRetrieval.json +455 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BibleNLPBitextMining.json +35 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CEDRClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CyrillicTurkicLangClassification.json +81 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/FloresBitextMining.json +0 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClusteringP2P.json +34 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/HeadlineClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/InappropriatenessClassification.json +95 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/KinopoiskClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/LanguageClassification.json +92 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.json +55 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.v2.json +34 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.json +55 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.v2.json +59 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveIntentClassification.json +0 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveScenarioClassification.json +0 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultiLongDocRetrieval.json +307 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultilingualSentimentClassification.json +95 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/NTREXBitextMining.json +899 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/OpusparcusPC.json +105 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/PublicHealthQA.json +158 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RUParaPhraserSTS.json +32 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RiaNewsRetrieval.json +158 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQReranking.json +26 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQRetrieval.json +158 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuReviewsClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSTSBenchmarkSTS.json +32 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClusteringP2P.json +34 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClusteringP2P.json +34 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200Classification.json +201 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200ClusteringS2S.json +34 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.json +397 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.v2.json +32 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STSBenchmarkMultilingualSTS.json +55 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SensitiveTopicsClassification.json +73 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/TERRa.json +57 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/Tatoeba.json +23 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLI.json +105 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLIV2.json +57 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XQuADRetrieval.json +158 -0
- results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/model_meta.json +1 -0
- results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BUCC.v2.json +23 -0
- results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BelebeleRetrieval.json +455 -0
- results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BibleNLPBitextMining.json +35 -0
paths.json
CHANGED
The diff for this file is too large to render.
See raw diff
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results.py
CHANGED
@@ -33,11 +33,13 @@ TRAIN_SPLIT = ["DanishPoliticalCommentsClassification"]
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# Use "validation" split instead
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VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "LEMBSummScreenFDRetrieval", "MSMARCO", "MSMARCO-PL", "MultilingualSentiment", "Ocnli", "TNews"]
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# Use "dev" split instead
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-
DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
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# Use "test.full" split
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TESTFULL_SPLIT = ["OpusparcusPC"]
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# Use "standard" split
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STANDARD_SPLIT = ["BrightRetrieval"]
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TEST_AVG_SPLIT = {
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"LEMBNeedleRetrieval": ["test_256", "test_512", "test_1024", "test_2048", "test_4096", "test_8192", "test_16384", "test_32768"],
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@@ -235,6 +237,15 @@ MODELS = [
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"voyage-multilingual-2",
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"xlm-roberta-base",
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"xlm-roberta-large",
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]
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@@ -324,6 +335,8 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
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split = "test.full"
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elif (ds_name in STANDARD_SPLIT) and ("standard" in res_dict):
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split = "standard"
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elif (ds_name in TEST_AVG_SPLIT):
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# Average splits
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res_dict["test_avg"] = {}
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@@ -381,7 +394,7 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
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})
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else:
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if not isinstance(score, float):
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-
print(f'WARNING: Expected float, got {score} for {ds_name} {lang} {metric}
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continue
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out.append({
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"mteb_dataset_name": ds_name,
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# NOTE: for generating the new paths
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if __name__ == "__main__":
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-
get_paths()
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# Use "validation" split instead
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VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "LEMBSummScreenFDRetrieval", "MSMARCO", "MSMARCO-PL", "MultilingualSentiment", "Ocnli", "TNews"]
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# Use "dev" split instead
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+
DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval", "TERRa",]
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# Use "test.full" split
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TESTFULL_SPLIT = ["OpusparcusPC"]
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# Use "standard" split
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STANDARD_SPLIT = ["BrightRetrieval"]
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# Use "devtest" split
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DEVTEST_SPLIT = ["FloresBitextMining"]
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TEST_AVG_SPLIT = {
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"LEMBNeedleRetrieval": ["test_256", "test_512", "test_1024", "test_2048", "test_4096", "test_8192", "test_16384", "test_32768"],
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"voyage-multilingual-2",
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"xlm-roberta-base",
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"xlm-roberta-large",
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+
"deberta-v1-base",
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"USER-bge-m3",
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"USER-base",
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"rubert-tiny-turbo",
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"LaBSE-ru-turbo",
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"distilrubert-small-cased-conversational",
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"rubert-base-cased",
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"rubert-base-cased-sentence",
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"LaBSE-en-ru",
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]
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split = "test.full"
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elif (ds_name in STANDARD_SPLIT) and ("standard" in res_dict):
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split = "standard"
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+
elif (ds_name in DEVTEST_SPLIT) and ("devtest" in res_dict):
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split = "devtest"
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elif (ds_name in TEST_AVG_SPLIT):
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# Average splits
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res_dict["test_avg"] = {}
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})
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else:
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if not isinstance(score, float):
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print(f'WARNING: Expected float, got {score} for {ds_name} {lang} {metric}')
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continue
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out.append({
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"mteb_dataset_name": ds_name,
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# NOTE: for generating the new paths
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if __name__ == "__main__":
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+
get_paths()
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BUCC.v2.json
ADDED
@@ -0,0 +1,23 @@
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{
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"dataset_revision": "1739dc11ffe9b7bfccd7f3d585aeb4c544fc6677",
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"evaluation_time": 17.75709819793701,
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"kg_co2_emissions": null,
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"mteb_version": "1.12.85",
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"scores": {
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"test": [
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{
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"accuracy": 0.9801177693107032,
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"f1": 0.9738298118000231,
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"hf_subset": "ru-en",
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"languages": [
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"rus-Cyrl",
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"eng-Latn"
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],
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"main_score": 0.9738298118000231,
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"precision": 0.9707250894815842,
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"recall": 0.9801177693107032
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}
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]
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},
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"task_name": "BUCC.v2"
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}
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BelebeleRetrieval.json
ADDED
@@ -0,0 +1,455 @@
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{
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+
"dataset_revision": "75b399394a9803252cfec289d103de462763db7c",
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+
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/BibleNLPBitextMining.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/CyrillicTurkicLangClassification.json
ADDED
@@ -0,0 +1,81 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/FloresBitextMining.json
ADDED
The diff for this file is too large to render.
See raw diff
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClassification.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/GeoreviewClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/HeadlineClassification.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/InappropriatenessClassification.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/KinopoiskClassification.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/LanguageClassification.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringP2P.v2.json
ADDED
@@ -0,0 +1,34 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.json
ADDED
@@ -0,0 +1,55 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MLSUMClusteringS2S.v2.json
ADDED
@@ -0,0 +1,59 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveIntentClassification.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MassiveScenarioClassification.json
ADDED
The diff for this file is too large to render.
See raw diff
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultiLongDocRetrieval.json
ADDED
@@ -0,0 +1,307 @@
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|
results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/MultilingualSentimentClassification.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/NTREXBitextMining.json
ADDED
@@ -0,0 +1,899 @@
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|
results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/PublicHealthQA.json
ADDED
@@ -0,0 +1,158 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RUParaPhraserSTS.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RiaNewsRetrieval.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQReranking.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuBQRetrieval.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuReviewsClassification.json
ADDED
@@ -0,0 +1,73 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSTSBenchmarkSTS.json
ADDED
@@ -0,0 +1,32 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClassification.json
ADDED
@@ -0,0 +1,73 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchGRNTIClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClassification.json
ADDED
@@ -0,0 +1,73 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/RuSciBenchOECDClusteringP2P.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200Classification.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SIB200ClusteringS2S.json
ADDED
@@ -0,0 +1,34 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STS22.v2.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/STSBenchmarkMultilingualSTS.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/SensitiveTopicsClassification.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/TERRa.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/Tatoeba.json
ADDED
@@ -0,0 +1,23 @@
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLI.json
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XNLIV2.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/XQuADRetrieval.json
ADDED
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results/LaBSE-en-ru/cf0714e606d4af551e14ad69a7929cd6b0da7f7e/model_meta.json
ADDED
@@ -0,0 +1 @@
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BUCC.v2.json
ADDED
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BelebeleRetrieval.json
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results/LaBSE-ru-turbo/1940b046c6b5e125df11722b899130329d0a46da/BibleNLPBitextMining.json
ADDED
@@ -0,0 +1,35 @@
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|
35 |
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