Add NbAiLab__nb-sbert-base (#150)

Benchmarks for NbAiLab/nb-sbert-base for Scandinavian

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/AngryTweetsClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "task_name": "AngryTweetsClassification",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.512703,
+        "f1": 0.507685,
+        "f1_weighted": 0.511964,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.520535,
+            "f1": 0.521448,
+            "f1_weighted": 0.522877
+          },
+          {
+            "accuracy": 0.532951,
+            "f1": 0.531288,
+            "f1_weighted": 0.535665
+          },
+          {
+            "accuracy": 0.529131,
+            "f1": 0.519494,
+            "f1_weighted": 0.527887
+          },
+          {
+            "accuracy": 0.47851,
+            "f1": 0.477758,
+            "f1_weighted": 0.474239
+          },
+          {
+            "accuracy": 0.51958,
+            "f1": 0.510311,
+            "f1_weighted": 0.517563
+          },
+          {
+            "accuracy": 0.529131,
+            "f1": 0.518656,
+            "f1_weighted": 0.528234
+          },
+          {
+            "accuracy": 0.459408,
+            "f1": 0.45849,
+            "f1_weighted": 0.463066
+          },
+          {
+            "accuracy": 0.5234,
+            "f1": 0.516473,
+            "f1_weighted": 0.518867
+          },
+          {
+            "accuracy": 0.492837,
+            "f1": 0.492842,
+            "f1_weighted": 0.496288
+          },
+          {
+            "accuracy": 0.541547,
+            "f1": 0.530089,
+            "f1_weighted": 0.53495
+          }
+        ],
+        "main_score": 0.512703,
+        "hf_subset": "default",
+        "languages": [
+          "dan-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 12.634291887283325,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/BornholmBitextMining.json

@@ -0,0 +1,22 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "task_name": "BornholmBitextMining",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "test": [
+      {
+        "precision": 0.488786,
+        "recall": 0.584,
+        "f1": 0.517433,
+        "accuracy": 0.584,
+        "main_score": 0.517433,
+        "hf_subset": "default",
+        "languages": [
+          "dan-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 0.6183414459228516,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/DKHateClassification.json

@@ -0,0 +1,95 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "task_name": "DKHateClassification",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.603951,
+        "f1": 0.497382,
+        "f1_weighted": 0.668523,
+        "ap": 0.89642,
+        "ap_weighted": 0.89642,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.677812,
+            "f1": 0.550685,
+            "f1_weighted": 0.730115,
+            "ap": 0.907107,
+            "ap_weighted": 0.907107
+          },
+          {
+            "accuracy": 0.601824,
+            "f1": 0.51378,
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+            "ap": 0.909603,
+            "ap_weighted": 0.909603
+          },
+          {
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+            "f1": 0.512415,
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+            "ap": 0.898068,
+            "ap_weighted": 0.898068
+          },
+          {
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+            "f1": 0.399087,
+            "f1_weighted": 0.548553,
+            "ap": 0.874449,
+            "ap_weighted": 0.874449
+          },
+          {
+            "accuracy": 0.568389,
+            "f1": 0.487066,
+            "f1_weighted": 0.6404,
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+            "ap_weighted": 0.902453
+          },
+          {
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+            "f1": 0.419494,
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+            "ap": 0.878254,
+            "ap_weighted": 0.878254
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+          {
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+            "ap_weighted": 0.886018
+          },
+          {
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+            "f1": 0.533534,
+            "f1_weighted": 0.742166,
+            "ap": 0.892652,
+            "ap_weighted": 0.892652
+          },
+          {
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+            "f1": 0.548014,
+            "f1_weighted": 0.723353,
+            "ap": 0.908415,
+            "ap_weighted": 0.908415
+          },
+          {
+            "accuracy": 0.659574,
+            "f1": 0.541418,
+            "f1_weighted": 0.716176,
+            "ap": 0.907178,
+            "ap_weighted": 0.907178
+          }
+        ],
+        "main_score": 0.603951,
+        "hf_subset": "default",
+        "languages": [
+          "dan-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 9.368924856185913,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/DalajClassification.json

@@ -0,0 +1,95 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "task_name": "DalajClassification",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.50045,
+        "f1": 0.496725,
+        "f1_weighted": 0.496725,
+        "ap": 0.500234,
+        "ap_weighted": 0.500234,
+        "scores_per_experiment": [
+          {
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+            "f1": 0.49687,
+            "f1_weighted": 0.49687,
+            "ap": 0.501698,
+            "ap_weighted": 0.501698
+          },
+          {
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+            "ap": 0.501132,
+            "ap_weighted": 0.501132
+          },
+          {
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+            "f1": 0.497198,
+            "f1_weighted": 0.497198,
+            "ap": 0.50284,
+            "ap_weighted": 0.50284
+          },
+          {
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+            "f1": 0.498002,
+            "f1_weighted": 0.498002,
+            "ap": 0.499438,
+            "ap_weighted": 0.499438
+          },
+          {
+            "accuracy": 0.501126,
+            "f1": 0.499725,
+            "f1_weighted": 0.499725,
+            "ap": 0.500564,
+            "ap_weighted": 0.500564
+          },
+          {
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+            "f1": 0.499062,
+            "f1_weighted": 0.499062,
+            "ap": 0.500565,
+            "ap_weighted": 0.500565
+          },
+          {
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+            "f1": 0.489484,
+            "f1_weighted": 0.489484,
+            "ap": 0.49832,
+            "ap_weighted": 0.49832
+          },
+          {
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+            "f1": 0.497916,
+            "f1_weighted": 0.497916,
+            "ap": 0.500565,
+            "ap_weighted": 0.500565
+          },
+          {
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+            "f1": 0.495266,
+            "f1_weighted": 0.495266,
+            "ap": 0.5,
+            "ap_weighted": 0.5
+          },
+          {
+            "accuracy": 0.494369,
+            "f1": 0.491972,
+            "f1_weighted": 0.491972,
+            "ap": 0.497221,
+            "ap_weighted": 0.497221
+          }
+        ],
+        "main_score": 0.50045,
+        "hf_subset": "default",
+        "languages": [
+          "swe-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 10.453991174697876,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/DanFeverRetrieval.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "3b17b754ed5bf356582b93ec11d1c72469f7bb9c",
+  "task_name": "DanFeverRetrieval",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "train": [
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+        "ndcg_at_3": 0.33214,
+        "ndcg_at_5": 0.34185,
+        "ndcg_at_10": 0.34853,
+        "ndcg_at_20": 0.35352,
+        "ndcg_at_100": 0.35889,
+        "ndcg_at_1000": 0.3605,
+        "map_at_1": 0.25804,
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+        "map_at_10": 0.32317,
+        "map_at_20": 0.32452,
+        "map_at_100": 0.3253,
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+        "nauc_mrr_at_1000_diff1": 0.356854,
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+        "hf_subset": "default",
+        "languages": [
+          "dan-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 18.761038780212402,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/DanishPoliticalCommentsClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "task_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "train": [
+      {
+        "accuracy": 0.37985,
+        "f1": 0.355989,
+        "f1_weighted": 0.394686,
+        "scores_per_experiment": [
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+          },
+          {
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+            "f1": 0.346503,
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+          {
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+            "f1": 0.360246,
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+          {
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+          {
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+          {
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+          {
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+          {
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+          {
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+          {
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+        ],
+        "main_score": 0.37985,
+        "hf_subset": "default",
+        "languages": [
+          "dan-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 16.616677284240723,
+  "kg_co2_emissions": null
+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/LccSentimentClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "task_name": "LccSentimentClassification",
+  "mteb_version": "1.36.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.556,
+        "f1": 0.552719,
+        "f1_weighted": 0.557126,
+        "scores_per_experiment": [
+          {
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+          {
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+            "f1": 0.535449,
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+          {
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+          {
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+          {
+            "accuracy": 0.546667,
+            "f1": 0.537492,
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+          {
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+            "f1": 0.532834,
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+          },
+          {
+            "accuracy": 0.613333,
+            "f1": 0.602383,
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+          {
+            "accuracy": 0.6,
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+          {
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+          },
+          {
+            "accuracy": 0.6,
+            "f1": 0.59113,
+            "f1_weighted": 0.611922
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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/MassiveIntentClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/MassiveScenarioClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/NoRecClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/NorQuadRetrieval.json

@@ -0,0 +1,158 @@
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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/NordicLangClassification.json

@@ -0,0 +1,78 @@
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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/NorwegianCourtsBitextMining.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/NorwegianParliamentClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SNLHierarchicalClusteringP2P.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SNLHierarchicalClusteringS2S.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SNLRetrieval.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/ScalaClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SweFaqRetrieval.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SweRecClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SwedishSentimentClassification.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SwednClusteringP2P.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SwednClusteringS2S.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/SwednRetrieval.json

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+}

results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/TV2Nordretrieval.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/TwitterHjerneRetrieval.json

@@ -0,0 +1,158 @@
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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/VGHierarchicalClusteringP2P.json

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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/VGHierarchicalClusteringS2S.json

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+{
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results/NbAiLab__nb-sbert-base/b95656350a076aeafd2d23763660f80655408cc6/model_meta.json

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