Automated Leaderboard Update

EXTERNAL_MODEL_RESULTS.json

@@ -24156,6 +24156,130 @@
             "p-MRR": []
         }
     },
+    "voyageai__voyage-3": {
+        "BitextMining": {
+            "f1": []
+        },
+        "Classification": {
+            "accuracy": []
+        },
+        "Clustering": {
+            "v_measure": []
+        },
+        "PairClassification": {
+            "max_ap": []
+        },
+        "Reranking": {
+            "map": []
+        },
+        "Retrieval": {
+            "ndcg_at_10": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://docs.voyageai.com/embeddings/\">voyage-3</a>",
+                    "AILACasedocs": 40.59,
+                    "AILAStatutes": 42.49,
+                    "AlloprofRetrieval": 73.76,
+                    "AppsRetrieval": 73.03,
+                    "BSARDRetrieval": 44.87,
+                    "CodeFeedbackMT": 66.69,
+                    "CodeFeedbackST": 83.02,
+                    "CodeSearchNetCCRetrieval (python)": 79.8,
+                    "CodeSearchNetCCRetrieval (javascript)": 81.06,
+                    "CodeSearchNetCCRetrieval (go)": 75.78,
+                    "CodeSearchNetCCRetrieval (ruby)": 79.51,
+                    "CodeSearchNetCCRetrieval (java)": 79.75,
+                    "CodeSearchNetCCRetrieval (php)": 71.3,
+                    "CodeSearchNetRetrieval (python)": 93.04,
+                    "CodeSearchNetRetrieval (javascript)": 87.26,
+                    "CodeSearchNetRetrieval (go)": 97.36,
+                    "CodeSearchNetRetrieval (ruby)": 90.89,
+                    "CodeSearchNetRetrieval (java)": 93.56,
+                    "CodeSearchNetRetrieval (php)": 91.69,
+                    "CodeTransOceanContest": 89.92,
+                    "CodeTransOceanDL": 33.92,
+                    "CosQA": 28.7,
+                    "GerDaLIRSmall": 44.72,
+                    "LEMBNarrativeQARetrieval": 54.12,
+                    "LEMBQMSumRetrieval": 51.05,
+                    "LEMBSummScreenFDRetrieval": 97.82,
+                    "LEMBWikimQARetrieval": 88.9,
+                    "LeCaRDv2": 69.66,
+                    "LegalBenchConsumerContractsQA": 86.75,
+                    "LegalBenchCorporateLobbying": 94.54,
+                    "LegalQuAD": 65.03,
+                    "LegalSummarization": 69.23,
+                    "MIRACLRetrieval (ru)": 68.43,
+                    "MintakaRetrieval (fr)": 44.56,
+                    "RiaNewsRetrieval": 88.02,
+                    "RuBQRetrieval": 71.54,
+                    "StackOverflowQA": 94.33,
+                    "SyntecRetrieval": 87.54,
+                    "SyntheticText2SQL": 57.56,
+                    "XPQARetrieval (fra-fra)": 76.08
+                }
+            ]
+        },
+        "STS": {
+            "cosine_spearman": []
+        },
+        "Summarization": {
+            "cosine_spearman": []
+        },
+        "MultilabelClassification": {
+            "accuracy": []
+        },
+        "InstructionRetrieval": {
+            "p-MRR": []
+        }
+    },
+    "voyageai__voyage-3-lite": {
+        "BitextMining": {
+            "f1": []
+        },
+        "Classification": {
+            "accuracy": []
+        },
+        "Clustering": {
+            "v_measure": []
+        },
+        "PairClassification": {
+            "max_ap": []
+        },
+        "Reranking": {
+            "map": []
+        },
+        "Retrieval": {
+            "ndcg_at_10": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://docs.voyageai.com/embeddings/\">voyage-3-lite</a>",
+                    "AILACasedocs": 38.15,
+                    "AILAStatutes": 35.03,
+                    "GerDaLIRSmall": 43.73,
+                    "LEMBNarrativeQARetrieval": 51.67,
+                    "LEMBQMSumRetrieval": 53.01,
+                    "LEMBSummScreenFDRetrieval": 96.71,
+                    "LEMBWikimQARetrieval": 88.34,
+                    "LeCaRDv2": 67.96,
+                    "LegalBenchConsumerContractsQA": 83.22,
+                    "LegalBenchCorporateLobbying": 94.53,
+                    "LegalQuAD": 61.96,
+                    "LegalSummarization": 61.42
+                }
+            ]
+        },
+        "STS": {
+            "cosine_spearman": []
+        },
+        "Summarization": {
+            "cosine_spearman": []
+        },
+        "MultilabelClassification": {
+            "accuracy": []
+        },
+        "InstructionRetrieval": {
+            "p-MRR": []
+        }
+    },
     "voyageai__voyage-code-2": {
         "BitextMining": {
             "f1": []

all_data_tasks/17/default.jsonl

@@ -1,87 +1,88 @@
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 {"index":0,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":44.74,"AlloProfClusteringP2P":62.01,"AlloProfClusteringS2S":49.2,"HALClusteringS2S":26.17,"MLSUMClusteringP2P (fr)":45.28,"MLSUMClusteringS2S (fr)":42.74,"MasakhaNEWSClusteringP2P (fra)":48.13,"MasakhaNEWSClusteringS2S (fra)":39.62}
-{"index":3,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":44.23,"AlloProfClusteringP2P":62.5,"AlloProfClusteringS2S":44.28,"HALClusteringS2S":26.36,"MLSUMClusteringP2P (fr)":44.03,"MLSUMClusteringS2S (fr)":42.95,"MasakhaNEWSClusteringP2P (fra)":50.68,"MasakhaNEWSClusteringS2S (fra)":38.79}
-{"index":84,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.25,"AlloProfClusteringP2P":60.98,"AlloProfClusteringS2S":43.5,"HALClusteringS2S":21.4,"MLSUMClusteringP2P (fr)":42.24,"MLSUMClusteringS2S (fr)":35.25,"MasakhaNEWSClusteringP2P (fra)":61.15,"MasakhaNEWSClusteringS2S (fra)":38.24}
-{"index":45,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":43.17,"AlloProfClusteringP2P":62.69,"AlloProfClusteringS2S":42.06,"HALClusteringS2S":23.9,"MLSUMClusteringP2P (fr)":42.04,"MLSUMClusteringS2S (fr)":32.29,"MasakhaNEWSClusteringP2P (fra)":54.51,"MasakhaNEWSClusteringS2S (fra)":44.73}
-{"index":55,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":42.66,"AlloProfClusteringP2P":62.09,"AlloProfClusteringS2S":32.98,"HALClusteringS2S":22.48,"MLSUMClusteringP2P (fr)":43.48,"MLSUMClusteringS2S (fr)":38.53,"MasakhaNEWSClusteringP2P (fra)":47.91,"MasakhaNEWSClusteringS2S (fra)":51.16}
-{"index":88,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":42.0,"AlloProfClusteringP2P":56.9,"AlloProfClusteringS2S":37.84,"HALClusteringS2S":18.95,"MLSUMClusteringP2P (fr)":43.9,"MLSUMClusteringS2S (fr)":35.5,"MasakhaNEWSClusteringP2P (fra)":60.57,"MasakhaNEWSClusteringS2S (fra)":40.31}
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all_data_tasks/18/default.jsonl

@@ -1,88 +1,89 @@
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 {"index":0,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":77.34,"OpusparcusPC (fr)":92.64,"PawsXPairClassification (fr)":62.05}
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all_data_tasks/19/default.jsonl

@@ -1,87 +1,88 @@
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all_data_tasks/20/default.jsonl

@@ -1,87 +1,88 @@
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all_data_tasks/21/default.jsonl

@@ -1,90 +1,91 @@
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all_data_tasks/22/default.jsonl

@@ -1,87 +1,88 @@
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all_data_tasks/31/default.jsonl

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all_data_tasks/32/default.jsonl

@@ -1,51 +1,52 @@
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all_data_tasks/33/default.jsonl

@@ -1,51 +1,52 @@
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all_data_tasks/34/default.jsonl

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all_data_tasks/35/default.jsonl

@@ -1,51 +1,52 @@
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all_data_tasks/36/default.jsonl

@@ -1,54 +1,55 @@
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all_data_tasks/37/default.jsonl

@@ -1,51 +1,52 @@
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all_data_tasks/41/default.jsonl

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all_data_tasks/42/default.jsonl

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all_data_tasks/46/default.jsonl

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boards_data/fr/data_tasks/Clustering/default.jsonl

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boards_data/fr/data_tasks/PairClassification/default.jsonl

@@ -1,88 +1,89 @@
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 {"index":0,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":77.34,"OpusparcusPC (fr)":92.64,"PawsXPairClassification (fr)":62.05}
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 {"index":1,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":74.4,"OpusparcusPC (fr)":89.83,"PawsXPairClassification (fr)":58.97}
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boards_data/fr/data_tasks/Reranking/default.jsonl

@@ -1,87 +1,88 @@
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boards_data/fr/data_tasks/Retrieval/default.jsonl

@@ -1,87 +1,88 @@
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boards_data/fr/data_tasks/STS/default.jsonl

@@ -1,90 +1,91 @@
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-{"index":11,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
-{"index":57,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":82.46,"STS22 (fr)":82.25,"STSBenchmarkMultilingualSTS (fr)":84.94,"SICKFr":80.2}
-{"index":9,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
-{"index":45,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.74,"STS22 (fr)":81.73,"STSBenchmarkMultilingualSTS (fr)":85.79,"SICKFr":77.7}
-{"index":10,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.36,"STS22 (fr)":81.03,"STSBenchmarkMultilingualSTS (fr)":84.43,"SICKFr":78.63}
-{"index":16,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":81.28,"STS22 (fr)":82.76,"STSBenchmarkMultilingualSTS (fr)":81.84,"SICKFr":79.23}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":81.26,"STS22 (fr)":81.84,"STSBenchmarkMultilingualSTS (fr)":82.25,"SICKFr":79.68}
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-{"index":3,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":80.29,"STS22 (fr)":83.75,"STSBenchmarkMultilingualSTS (fr)":83.02,"SICKFr":74.09}
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+{"index":5,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":80.13,"STS22 (fr)":82.76,"STSBenchmarkMultilingualSTS (fr)":82.72,"SICKFr":74.9}
+{"index":28,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.12,"STS22 (fr)":81.14,"STSBenchmarkMultilingualSTS (fr)":83.75,"SICKFr":75.48}
+{"index":38,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":80.01,"STS22 (fr)":83.31,"STSBenchmarkMultilingualSTS (fr)":79.99,"SICKFr":76.74}
 {"index":0,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":79.56,"STS22 (fr)":82.74,"STSBenchmarkMultilingualSTS (fr)":79.72,"SICKFr":76.21}
-{"index":62,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":79.5,"STS22 (fr)":81.7,"STSBenchmarkMultilingualSTS (fr)":81.3,"SICKFr":75.51}
-{"index":56,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.36,"STS22 (fr)":76.77,"STSBenchmarkMultilingualSTS (fr)":82.53,"SICKFr":78.78}
-{"index":30,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":79.32,"STS22 (fr)":82.57,"STSBenchmarkMultilingualSTS (fr)":82.51,"SICKFr":72.88}
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boards_data/fr/data_tasks/Summarization/default.jsonl

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boards_data/law/data_tasks/Retrieval/default.jsonl

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+{"index":2,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":10,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average (23 datasets)":"","Classification Average (9 datasets)":67.48,"Clustering Average (3 datasets)":61.91,"PairClassification Average (1 datasets)":58.93,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":35.6}
+{"index":12,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":14,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":56.45,"Clustering Average (3 datasets)":51.35,"PairClassification Average (1 datasets)":55.14,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":69.48,"MultilabelClassification Average (2 datasets)":31.44}
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+{"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":17,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":22,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":23,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/brahmairesearch\/slx-v0.1\">slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":25,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Embedding Dimensions":512,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":44.55,"Clustering Average (3 datasets)":30.76,"PairClassification Average (1 datasets)":52.85,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":53.15,"MultilabelClassification Average (2 datasets)":27.96}
+{"index":29,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":56.18,"Clustering Average (3 datasets)":42.92,"PairClassification Average (1 datasets)":56.49,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":53.39,"MultilabelClassification Average (2 datasets)":28.9}
+{"index":36,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":37,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":38,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (23 datasets)":"","Classification Average (9 datasets)":64.41,"Clustering Average (3 datasets)":60.8,"PairClassification Average (1 datasets)":58.73,"Reranking Average (2 datasets)":53.82,"Retrieval Average (3 datasets)":"","STS Average (3 datasets)":76.03,"MultilabelClassification Average (2 datasets)":38.97}
+{"index":39,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FAE-v1\">FAE-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FUE-v1\">FUE-v1<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":41,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":54.71,"Clustering Average (3 datasets)":47.74,"PairClassification Average (1 datasets)":55.71,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":65.52,"MultilabelClassification Average (2 datasets)":31.42}
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+{"index":43,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":28.75,"Clustering Average (3 datasets)":13.3,"PairClassification Average (1 datasets)":45.03,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":1.23,"STS Average (3 datasets)":38.07,"MultilabelClassification Average (2 datasets)":25.27}
+{"index":44,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":28.82,"Clustering Average (3 datasets)":15.83,"PairClassification Average (1 datasets)":44.52,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":37.89,"MultilabelClassification Average (2 datasets)":26.9}
+{"index":45,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":46,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":47,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":48,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":49,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":50,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":53.77,"Clustering Average (3 datasets)":47.76,"PairClassification Average (1 datasets)":58.56,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":66.17,"MultilabelClassification Average (2 datasets)":31.3}
+{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":56.88,"Clustering Average (3 datasets)":49.18,"PairClassification Average (1 datasets)":64.57,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":68.98,"MultilabelClassification Average (2 datasets)":32.9}
+{"index":52,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":53,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":54,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":57,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}

boards_data/ru/data_tasks/Classification/default.jsonl

@@ -1,56 +1,57 @@
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-{"index":9,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":67.48,"GeoreviewClassification":53.47,"HeadlineClassification":85.66,"InappropriatenessClassification":65.29,"KinopoiskClassification":64.25,"RuReviewsClassification":68.58,"RuSciBenchGRNTIClassification":64.56,"RuSciBenchOECDClassification":51.2,"MassiveIntentClassification (ru)":76.01,"MassiveScenarioClassification (ru)":78.28}
-{"index":33,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":66.31,"GeoreviewClassification":55.9,"HeadlineClassification":86.18,"InappropriatenessClassification":65.53,"KinopoiskClassification":66.12,"RuReviewsClassification":68.56,"RuSciBenchGRNTIClassification":65.07,"RuSciBenchOECDClassification":50.21,"MassiveIntentClassification (ru)":67.6,"MassiveScenarioClassification (ru)":71.59}
-{"index":37,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":64.41,"GeoreviewClassification":48.01,"HeadlineClassification":75.08,"InappropriatenessClassification":61.05,"KinopoiskClassification":62.39,"RuReviewsClassification":67.58,"RuSciBenchGRNTIClassification":59.19,"RuSciBenchOECDClassification":45.56,"MassiveIntentClassification (ru)":76.8,"MassiveScenarioClassification (ru)":84.06}
-{"index":17,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average":62.74,"GeoreviewClassification":49.7,"HeadlineClassification":78.0,"InappropriatenessClassification":61.32,"KinopoiskClassification":63.27,"RuReviewsClassification":67.96,"RuSciBenchGRNTIClassification":59.33,"RuSciBenchOECDClassification":46.33,"MassiveIntentClassification (ru)":66.97,"MassiveScenarioClassification (ru)":71.8}
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+{"index":5,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":11.27,"MassiveScenarioClassification (ru)":16.71}
+{"index":6,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":10.4,"MassiveScenarioClassification (ru)":18.96}
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+{"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FAE-v1\">FAE-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":"","MassiveScenarioClassification (ru)":""}
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boards_data/ru/data_tasks/Clustering/default.jsonl

@@ -1,51 +1,52 @@
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-{"index":37,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":60.8,"GeoreviewClusteringP2P":73.62,"RuSciBenchGRNTIClusteringP2P":57.99,"RuSciBenchOECDClusteringP2P":50.79}
-{"index":17,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.06,"GeoreviewClusteringP2P":65.42,"RuSciBenchGRNTIClusteringP2P":55.47,"RuSciBenchOECDClusteringP2P":47.29}
-{"index":10,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.67,"GeoreviewClusteringP2P":63.4,"RuSciBenchGRNTIClusteringP2P":55.66,"RuSciBenchOECDClusteringP2P":47.96}
-{"index":27,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":53.61,"GeoreviewClusteringP2P":62.79,"RuSciBenchGRNTIClusteringP2P":53.11,"RuSciBenchOECDClusteringP2P":44.93}
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boards_data/ru/data_tasks/MultilabelClassification/default.jsonl

@@ -1,51 +1,52 @@
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boards_data/ru/data_tasks/PairClassification/default.jsonl

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boards_data/ru/data_tasks/Reranking/default.jsonl

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boards_data/ru/data_tasks/Retrieval/default.jsonl

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boards_data/ru/data_tasks/STS/default.jsonl

@@ -1,54 +1,55 @@
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