Add text-embedding-3-large-256

results.py

@@ -100,6 +100,7 @@ MODELS = [
     "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",

results/text-embedding-3-large-256/AmazonCounterfactualClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"accuracy": 0.7395522388}}, "mteb_dataset_name": "AmazonCounterfactualClassification"}

results/text-embedding-3-large-256/AmazonPolarityClassification.json

@@ -0,0 +1 @@
+{"test": {"accuracy": 0.91322625}, "mteb_dataset_name": "AmazonPolarityClassification"}

results/text-embedding-3-large-256/AmazonReviewsClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"accuracy": 0.46032}}, "mteb_dataset_name": "AmazonReviewsClassification"}

results/text-embedding-3-large-256/ArguAna.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.55599}, "mteb_dataset_name": "ArguAna"}

results/text-embedding-3-large-256/ArxivClusteringP2P.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.4704554149}, "mteb_dataset_name": "ArxivClusteringP2P"}

results/text-embedding-3-large-256/ArxivClusteringS2S.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.425944981}, "mteb_dataset_name": "ArxivClusteringS2S"}

results/text-embedding-3-large-256/AskUbuntuDupQuestions.json

@@ -0,0 +1 @@
+{"test": {"map": 0.6461007921}, "mteb_dataset_name": "AskUbuntuDupQuestions"}

results/text-embedding-3-large-256/BIOSSES.json

@@ -0,0 +1 @@
+{"test": {"cos_sim": {"spearman": 0.8487301823}}, "mteb_dataset_name": "BIOSSES"}

results/text-embedding-3-large-256/Banking77Classification.json

@@ -0,0 +1 @@
+{"test": {"accuracy": 0.8319155844}, "mteb_dataset_name": "Banking77Classification"}

results/text-embedding-3-large-256/BiorxivClusteringP2P.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.3542599734}, "mteb_dataset_name": "BiorxivClusteringP2P"}

results/text-embedding-3-large-256/BiorxivClusteringS2S.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.3386436394}, "mteb_dataset_name": "BiorxivClusteringS2S"}

results/text-embedding-3-large-256/CQADupstackAndroidRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.5224}, "mteb_dataset_name": "CQADupstackAndroidRetrieval"}

results/text-embedding-3-large-256/CQADupstackEnglishRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.5012}, "mteb_dataset_name": "CQADupstackEnglishRetrieval"}

results/text-embedding-3-large-256/CQADupstackGamingRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.60399}, "mteb_dataset_name": "CQADupstackGamingRetrieval"}

results/text-embedding-3-large-256/CQADupstackGisRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.39908}, "mteb_dataset_name": "CQADupstackGisRetrieval"}

results/text-embedding-3-large-256/CQADupstackMathematicaRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.31815}, "mteb_dataset_name": "CQADupstackMathematicaRetrieval"}

results/text-embedding-3-large-256/CQADupstackPhysicsRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.46102}, "mteb_dataset_name": "CQADupstackPhysicsRetrieval"}

results/text-embedding-3-large-256/CQADupstackProgrammersRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.43661}, "mteb_dataset_name": "CQADupstackProgrammersRetrieval"}

results/text-embedding-3-large-256/CQADupstackRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.4227891667}, "mteb_dataset_name": "CQADupstackRetrieval"}

results/text-embedding-3-large-256/CQADupstackStatsRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.35454}, "mteb_dataset_name": "CQADupstackStatsRetrieval"}

results/text-embedding-3-large-256/CQADupstackTexRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.28972}, "mteb_dataset_name": "CQADupstackTexRetrieval"}

results/text-embedding-3-large-256/CQADupstackUnixRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.45284}, "mteb_dataset_name": "CQADupstackUnixRetrieval"}

results/text-embedding-3-large-256/CQADupstackWebmastersRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.39958}, "mteb_dataset_name": "CQADupstackWebmastersRetrieval"}

results/text-embedding-3-large-256/CQADupstackWordpressRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.33434}, "mteb_dataset_name": "CQADupstackWordpressRetrieval"}

results/text-embedding-3-large-256/ClimateFEVER.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.25804}, "mteb_dataset_name": "ClimateFEVER"}

results/text-embedding-3-large-256/DBPedia.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.40801}, "mteb_dataset_name": "DBPedia"}

results/text-embedding-3-large-256/EmotionClassification.json

@@ -0,0 +1 @@
+{"test": {"accuracy": 0.458}, "mteb_dataset_name": "EmotionClassification"}

results/text-embedding-3-large-256/FEVER.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.84566}, "mteb_dataset_name": "FEVER"}

results/text-embedding-3-large-256/FiQA2018.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.50325}, "mteb_dataset_name": "FiQA2018"}

results/text-embedding-3-large-256/HotpotQA.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.62688}, "mteb_dataset_name": "HotpotQA"}

results/text-embedding-3-large-256/ImdbClassification.json

@@ -0,0 +1 @@
+{"test": {"accuracy": 0.859284}, "mteb_dataset_name": "ImdbClassification"}

results/text-embedding-3-large-256/MSMARCO.json

@@ -0,0 +1 @@
+{"dev": {"ndcg_at_10": 0.3793}, "mteb_dataset_name": "MSMARCO"}

results/text-embedding-3-large-256/MTOPDomainClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"accuracy": 0.9276105791}}, "mteb_dataset_name": "MTOPDomainClassification"}

results/text-embedding-3-large-256/MTOPIntentClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"v_measure": 0.7045143639}}, "mteb_dataset_name": "MTOPIntentClassification"}

results/text-embedding-3-large-256/MassiveIntentClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"accuracy": 0.711197041}}, "mteb_dataset_name": "MassiveIntentClassification"}

results/text-embedding-3-large-256/MassiveScenarioClassification.json

@@ -0,0 +1 @@
+{"test": {"en": {"accuracy": 0.7556489576}}, "mteb_dataset_name": "MassiveScenarioClassification"}

results/text-embedding-3-large-256/MedrxivClusteringP2P.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.3209871439}, "mteb_dataset_name": "MedrxivClusteringP2P"}

results/text-embedding-3-large-256/MedrxivClusteringS2S.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.3114862555}, "mteb_dataset_name": "MedrxivClusteringS2S"}

results/text-embedding-3-large-256/MindSmallReranking.json

@@ -0,0 +1 @@
+{"test": {"map": 0.2963099554}, "mteb_dataset_name": "MindSmallReranking"}

results/text-embedding-3-large-256/NFCorpus.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.3794}, "mteb_dataset_name": "NFCorpus"}

results/text-embedding-3-large-256/NQ.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.56643}, "mteb_dataset_name": "NQ"}

results/text-embedding-3-large-256/QuoraRetrieval.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.88225}, "mteb_dataset_name": "QuoraRetrieval"}

results/text-embedding-3-large-256/RedditClustering.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.6018068844}, "mteb_dataset_name": "RedditClustering"}

results/text-embedding-3-large-256/RedditClusteringP2P.json

@@ -0,0 +1 @@
+{"test": {"v_measure": 0.6471209265}, "mteb_dataset_name": "RedditClusteringP2P"}

results/text-embedding-3-large-256/SCIDOCS.json

@@ -0,0 +1 @@
+{"test": {"ndcg_at_10": 0.20442}, "mteb_dataset_name": "SCIDOCS"}

results/text-embedding-3-large-256/SICK-R.json

@@ -0,0 +1 @@
+{"test": {"cos_sim": {"spearman": 0.7918188443}}, "mteb_dataset_name": "SICK-R"}

results/text-embedding-3-large-256/STS12.json

@@ -0,0 +1 @@
+{"test": {"cos_sim": {"spearman": 0.7198172784}}, "mteb_dataset_name": "STS12"}

results/text-embedding-3-large-256/STS13.json

@@ -0,0 +1 @@
+{"test": {"cos_sim": {"spearman": 0.8552006861}}, "mteb_dataset_name": "STS13"}