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Muennighoff commited on Feb 28

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9ad3a72

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1 Parent(s): 8ffdeb7

Fix paths; add models

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paths.json +0 -0
results.py +46 -15
results/{deepfile/embedder-100p → embedder-100p}/AmazonCounterfactualClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/AmazonPolarityClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/AmazonReviewsClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/ArguAna.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/ArxivClusteringP2P.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/ArxivClusteringS2S.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/AskUbuntuDupQuestions.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/BIOSSES.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/Banking77Classification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/BiorxivClusteringP2P.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/BiorxivClusteringS2S.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackAndroidRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackEnglishRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackGamingRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackGisRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackMathematicaRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackPhysicsRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackProgrammersRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackStatsRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackTexRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackUnixRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackWebmastersRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/CQADupstackWordpressRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/ClimateFEVER.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/DBPedia.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/EmotionClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/FEVER.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/FiQA2018.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/HotpotQA.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/ImdbClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MSMARCO.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MTOPDomainClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MTOPIntentClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MassiveIntentClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MassiveScenarioClassification.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MedrxivClusteringP2P.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MedrxivClusteringS2S.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/MindSmallReranking.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/NFCorpus.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/NQ.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/QuoraRetrieval.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/RedditClustering.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/RedditClusteringP2P.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/SCIDOCS.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/SICK-R.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/STS12.json +0 -0
results/{deepfile/embedder-100p → embedder-100p}/STS13.json +0 -0

paths.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

results.py CHANGED Viewed

@@ -35,10 +35,22 @@ VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "TNews", "MSMARCO", "MSMARCO-PL
 DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
 MODELS = [
     "all-MiniLM-L12-v2",
     "all-MiniLM-L6-v2",
     "all-mpnet-base-v2",
     "allenai-specter",
     "bert-base-swedish-cased",
     "bert-base-uncased",
     "bge-base-zh",
@@ -48,24 +60,34 @@ MODELS = [
     "bge-large-zh-v1.5",
     "bge-small-zh",
     "bge-small-zh-v1.5",
     "contriever-base-msmarco",
     "cross-en-de-roberta-sentence-transformer",
     "dfm-encoder-large-v1",
     "dfm-sentence-encoder-large-1",
     "distiluse-base-multilingual-cased-v2",
-    "DanskBERT",
     "e5-base",
     "e5-large",
     "e5-small",
     "electra-small-nordic",
     "electra-small-swedish-cased-discriminator",
     "embedder-100p",
     "gbert-base",
     "gbert-large",
     "gelectra-base",
     "gelectra-large",
-    "gottbert-base",
     "glove.6B.300d",
     "gtr-t5-base",
     "gtr-t5-large",
     "gtr-t5-xl",
@@ -73,11 +95,11 @@ MODELS = [
     "herbert-base-retrieval-v2",
     "komninos",
     "luotuo-bert-medium",
-    "LaBSE",
-    "LASER2",
-    "msmarco-bert-co-condensor",
     "m3e-base",
     "m3e-large",
     "multilingual-e5-base",
     "multilingual-e5-large",
     "multilingual-e5-small",
@@ -92,39 +114,48 @@ MODELS = [
     "paraphrase-multilingual-MiniLM-L12-v2",
     "paraphrase-multilingual-mpnet-base-v2",
     "sentence-bert-swedish-cased",
     "sentence-t5-base",
     "sentence-t5-large",
     "sentence-t5-xl",
     "sentence-t5-xxl",
     "sgpt-bloom-1b7-nli",
     "sgpt-bloom-7b1-msmarco",
-    "sup-simcse-bert-base-uncased",
     "st-polish-paraphrase-from-distilroberta",
     "st-polish-paraphrase-from-mpnet",
-    "text2vec-base-chinese",
-    "text2vec-large-chinese",
     "text-embedding-3-large",
     "text-embedding-3-large-256",
     "text-embedding-3-small",
     "text-embedding-ada-002",
-    "text-similarity-ada-001",
-    "text-similarity-babbage-001",
-    "text-similarity-curie-001",
-    "text-similarity-davinci-001",
-    "text-search-ada-doc-001",
     "text-search-ada-001",
     "text-search-babbage-001",
     "text-search-curie-001",
     "text-search-davinci-001",
     "titan-embed-text-v1",
     "unsup-simcse-bert-base-uncased",
     "use-cmlm-multilingual",
     "voyage-lite-01-instruct",
     "voyage-lite-02-instruct",
     "xlm-roberta-base",
     "xlm-roberta-large",
-    "Baichuan-text-embedding",
-    "OpenSearch-text-hybrid",
 ]

 DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
 MODELS = [
+    "Baichuan-text-embedding",
+    "Cohere-embed-multilingual-v3.0"
+    "Cohere-embed-multilingual-light-v3.0",
+    "DanskBERT",
+    "LaBSE",
+    "LASER2",
+    "OpenSearch-text-hybrid",
     "all-MiniLM-L12-v2",
     "all-MiniLM-L6-v2",
     "all-mpnet-base-v2",
     "allenai-specter",
+    "bert-base-10lang-cased",
+    "bert-base-15lang-cased",
+    "bert-base-25lang-cased",
+    "bert-base-multilingual-cased",
+    "bert-base-multilingual-uncased",
     "bert-base-swedish-cased",
     "bert-base-uncased",
     "bge-base-zh",
     "bge-large-zh-v1.5",
     "bge-small-zh",
     "bge-small-zh-v1.5",
+    "camembert-base",
+    "camembert-large",
     "contriever-base-msmarco",
     "cross-en-de-roberta-sentence-transformer",
     "dfm-encoder-large-v1",
     "dfm-sentence-encoder-large-1",
+    "distilbert-base-25lang-cased",
+    "distilbert-base-en-fr-cased",
+    "distilbert-base-en-fr-es-pt-it-cased",
+    "distilbert-base-fr-cased",
+    "distilbert-base-uncased",
     "distiluse-base-multilingual-cased-v2",
     "e5-base",
     "e5-large",
+    "e5-mistral-7b-instruct",
     "e5-small",
     "electra-small-nordic",
     "electra-small-swedish-cased-discriminator",
     "embedder-100p",
+    "flaubert_base_cased",
+    "flaubert_base_uncased",
+    "flaubert_large_cased",
     "gbert-base",
     "gbert-large",
     "gelectra-base",
     "gelectra-large",
     "glove.6B.300d",
+    "gottbert-base",
     "gtr-t5-base",
     "gtr-t5-large",
     "gtr-t5-xl",
     "herbert-base-retrieval-v2",
     "komninos",
     "luotuo-bert-medium",
     "m3e-base",
     "m3e-large",
+    "mistral-embed",
+    "msmarco-bert-co-condensor",
+    "multi-qa-MiniLM-L6-cos-v1",
     "multilingual-e5-base",
     "multilingual-e5-large",
     "multilingual-e5-small",
     "paraphrase-multilingual-MiniLM-L12-v2",
     "paraphrase-multilingual-mpnet-base-v2",
     "sentence-bert-swedish-cased",
+    "sentence-camembert-base",
+    "sentence-camembert-large",
+    "sentence-croissant-llm-base",
     "sentence-t5-base",
     "sentence-t5-large",
     "sentence-t5-xl",
     "sentence-t5-xxl",
     "sgpt-bloom-1b7-nli",
     "sgpt-bloom-7b1-msmarco",
+    "silver-retriever-base-v1",
     "st-polish-paraphrase-from-distilroberta",
     "st-polish-paraphrase-from-mpnet",
+    "sup-simcse-bert-base-uncased",
     "text-embedding-3-large",
     "text-embedding-3-large-256",
     "text-embedding-3-small",
     "text-embedding-ada-002",
     "text-search-ada-001",
+    "text-search-ada-doc-001",
     "text-search-babbage-001",
     "text-search-curie-001",
     "text-search-davinci-001",
+    "text-similarity-ada-001",
+    "text-similarity-babbage-001",
+    "text-similarity-curie-001",
+    "text-similarity-davinci-001",
+    "text2vec-base-chinese",
+    "text2vec-base-multilingual",
+    "text2vec-large-chinese",
     "titan-embed-text-v1",
+    "udever-bloom-1b1",
+    "udever-bloom-560m",
+    "universal-sentence-encoder-multilingual-3",
+    "universal-sentence-encoder-multilingual-large-3",
     "unsup-simcse-bert-base-uncased",
     "use-cmlm-multilingual",
+    "voyage-2",
+    "voyage-code-2",
     "voyage-lite-01-instruct",
     "voyage-lite-02-instruct",
     "xlm-roberta-base",
     "xlm-roberta-large",
 ]

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