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testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/CUADUnlimitedAllYouCanEatLicenseLegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "CUADUnlimitedAllYouCanEatLicenseLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.75,
+    "accuracy_stderr": 0.0,
+    "ap": 0.6691176470588236,
+    "ap_stderr": 0.0,
+    "evaluation_time": 26.37,
+    "f1": 0.7386569872958259,
+    "f1_stderr": 1.1102230246251565e-16,
+    "main_score": 0.75
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/CataloniaTweetClassification.json

@@ -0,0 +1,22 @@
+{
+  "dataset_revision": "cf24d44e517efa534f048e5fc5981f399ed25bee",
+  "mteb_dataset_name": "CataloniaTweetClassification",
+  "mteb_version": "1.6.37",
+  "test": {
+    "catalan": {
+      "accuracy": 0.43600000000000005,
+      "accuracy_stderr": 0.042004761634843256,
+      "f1": 0.4299942765198441,
+      "f1_stderr": 0.04020665730650639,
+      "main_score": 0.43600000000000005
+    },
+    "evaluation_time": 51.82,
+    "spanish": {
+      "accuracy": 0.4932,
+      "accuracy_stderr": 0.021022844717116667,
+      "f1": 0.5019986248830843,
+      "f1_stderr": 0.025770061238838564,
+      "main_score": 0.4932
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/ContractNLIPermissibleCopyLegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "ContractNLIPermissibleCopyLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.367816091954023,
+    "accuracy_stderr": 0.0,
+    "ap": 0.1894199099280769,
+    "ap_stderr": 0.0,
+    "evaluation_time": 23.69,
+    "f1": 0.3555555555555555,
+    "f1_stderr": 0.0,
+    "main_score": 0.367816091954023
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/CorporateLobbyingLegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "CorporateLobbyingLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.7040816326530612,
+    "accuracy_stderr": 0.0,
+    "ap": 0.2959183673469388,
+    "ap_stderr": 5.551115123125783e-17,
+    "evaluation_time": 288.63,
+    "f1": 0.4131736526946107,
+    "f1_stderr": 5.551115123125783e-17,
+    "main_score": 0.7040816326530612
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/CzechSubjectivityClassification.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "e387ddf167f3eba99936cff89909ed6264f17e1f",
+  "mteb_dataset_name": "CzechSubjectivityClassification",
+  "mteb_version": "1.6.12",
+  "test": {
+    "accuracy": 0.8063,
+    "accuracy_stderr": 0.02339358886532804,
+    "ap": 0.7613765553488444,
+    "ap_stderr": 0.022827704712709163,
+    "evaluation_time": 3.73,
+    "f1": 0.8045239373727544,
+    "f1_stderr": 0.02500037835573569,
+    "main_score": 0.8063
+  },
+  "validation": {
+    "accuracy": 0.7948000000000001,
+    "accuracy_stderr": 0.027102767386375865,
+    "ap": 0.7451340408916526,
+    "ap_stderr": 0.028182844219670145,
+    "evaluation_time": 5.35,
+    "f1": 0.7933426292085327,
+    "f1_stderr": 0.028073988576311885,
+    "main_score": 0.7948000000000001
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/DBpediaClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "9abd46cf7fc8b4c64290f26993c540b92aa145ac",
+  "mteb_dataset_name": "DBpediaClassification",
+  "mteb_version": "1.6.36",
+  "test": {
+    "accuracy": 0.871435546875,
+    "accuracy_stderr": 0.007089500734212557,
+    "evaluation_time": 38.69,
+    "f1": 0.863423609172077,
+    "f1_stderr": 0.008270870625325584,
+    "main_score": 0.871435546875
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/DefinitionClassificationLegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "DefinitionClassificationLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.8975317875841438,
+    "accuracy_stderr": 1.1102230246251565e-16,
+    "ap": 0.879685685104852,
+    "ap_stderr": 0.0,
+    "evaluation_time": 107.47,
+    "f1": 0.897513211674952,
+    "f1_stderr": 2.220446049250313e-16,
+    "main_score": 0.8975317875841438
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/Diversity2LegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "Diversity2LegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.7466666666666668,
+    "accuracy_stderr": 1.1102230246251565e-16,
+    "ap": 0.25333333333333335,
+    "ap_stderr": 0.0,
+    "evaluation_time": 17.93,
+    "f1": 0.42748091603053434,
+    "f1_stderr": 5.551115123125783e-17,
+    "main_score": 0.7466666666666668
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/Diversity3LegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "Diversity3LegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.5866666666666667,
+    "accuracy_stderr": 0.0,
+    "ap": 0.5866666666666667,
+    "ap_stderr": 0.0,
+    "evaluation_time": 16.37,
+    "f1": 0.3697478991596639,
+    "f1_stderr": 0.0,
+    "main_score": 0.5866666666666667
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/Diversity4LegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "Diversity4LegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.5333333333333333,
+    "accuracy_stderr": 0.0,
+    "ap": 0.5333333333333333,
+    "ap_stderr": 0.0,
+    "evaluation_time": 15.98,
+    "f1": 0.34782608695652184,
+    "f1_stderr": 5.551115123125783e-17,
+    "main_score": 0.5333333333333333
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/DutchBookReviewSentimentClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "3f756ab4572e071eb53e887ab629f19fa747d39e",
+  "mteb_dataset_name": "DutchBookReviewSentimentClassification",
+  "mteb_version": "1.6.10",
+  "test": {
+    "accuracy": 0.5346672661870503,
+    "accuracy_stderr": 0.027526984292996198,
+    "ap": 0.519386968929321,
+    "ap_stderr": 0.015122457961100472,
+    "evaluation_time": 332.36,
+    "f1": 0.5202855269442265,
+    "f1_stderr": 0.04158627123081672,
+    "main_score": 0.5346672661870503
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/StatcanDialogueDatasetRetrieval.json

@@ -0,0 +1,181 @@
+{
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+  "evaluation_time": 96.85298919677734,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.10.5",
+  "scores": {
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+        "languages": [
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+        "recall_at_5": 0.09724
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+      {
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+        "recall_at_3": 0.03241,
+        "recall_at_5": 0.0463
+      }
+    ]
+  },
+  "task_name": "StatcanDialogueDatasetRetrieval"
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/SwissJudgementClassification.json

@@ -0,0 +1,35 @@
+{
+  "dataset_revision": "29806f87bba4f23d0707d3b6d9ea5432afefbe2f",
+  "mteb_dataset_name": "SwissJudgementClassification",
+  "mteb_version": "1.7.39",
+  "test": {
+    "de": {
+      "accuracy": 0.49995112414467247,
+      "accuracy_stderr": 0.06719370750949763,
+      "ap": 0.19990054493232887,
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+      "f1": 0.447440010559523,
+      "f1_stderr": 0.03618725211676164,
+      "main_score": 0.49995112414467247
+    },
+    "evaluation_time": 2319.32,
+    "fr": {
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+      "accuracy_stderr": 0.1241697236907031,
+      "ap": 0.1890282211588124,
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+      "f1": 0.45573637698390057,
+      "f1_stderr": 0.0594604503289168,
+      "main_score": 0.5486803519061583
+    },
+    "it": {
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+      "f1": 0.46754276216091206,
+      "f1_stderr": 0.03667403598643644,
+      "main_score": 0.5674074074074074
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/SyntecReranking.json

@@ -0,0 +1,20 @@
+{
+  "dataset_revision": "daf0863838cd9e3ba50544cdce3ac2b338a1b0ad",
+  "evaluation_time": 1.1864006519317627,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.11.16",
+  "scores": {
+    "test": [
+      {
+        "hf_subset": "default",
+        "languages": [
+          "fra-Latn"
+        ],
+        "main_score": 0.8181666666666665,
+        "map": 0.8181666666666665,
+        "mrr": 0.8181666666666665
+      }
+    ]
+  },
+  "task_name": "SyntecReranking"
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/SyntecRetrieval.json

@@ -0,0 +1,43 @@
+{
+  "dataset_revision": "19661ccdca4dfc2d15122d776b61685f48c68ca9",
+  "mteb_dataset_name": "SyntecRetrieval",
+  "mteb_version": "1.6.16",
+  "test": {
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+    "map_at_1": 0.57,
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+    "map_at_5": 0.69167,
+    "mrr_at_1": 0.57,
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+    "mrr_at_100": 0.70202,
+    "mrr_at_1000": 0.70202,
+    "mrr_at_20": 0.70142,
+    "mrr_at_3": 0.67167,
+    "mrr_at_5": 0.69167,
+    "ndcg_at_1": 0.57,
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+    "ndcg_at_1000": 0.77172,
+    "ndcg_at_20": 0.76783,
+    "ndcg_at_3": 0.70464,
+    "ndcg_at_5": 0.74121,
+    "precision_at_1": 0.57,
+    "precision_at_10": 0.094,
+    "precision_at_100": 0.01,
+    "precision_at_1000": 0.001,
+    "precision_at_20": 0.049,
+    "precision_at_3": 0.26667,
+    "precision_at_5": 0.178,
+    "recall_at_1": 0.57,
+    "recall_at_10": 0.94,
+    "recall_at_100": 1.0,
+    "recall_at_1000": 1.0,
+    "recall_at_20": 0.98,
+    "recall_at_3": 0.8,
+    "recall_at_5": 0.89
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TV2Nordretrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": "80cdb115ec2ef46d4e926b252f2b59af62d6c070",
+  "mteb_dataset_name": "TV2Nordretrieval",
+  "mteb_version": "1.2.1.dev0",
+  "test": {
+    "evaluation_time": 104.11,
+    "map_at_1": 0.8418,
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+    "map_at_100": 0.8873,
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+    "mrr_at_1": 0.8418,
+    "mrr_at_10": 0.88611,
+    "mrr_at_100": 0.8873,
+    "mrr_at_1000": 0.88733,
+    "mrr_at_3": 0.87777,
+    "mrr_at_5": 0.88326,
+    "ndcg_at_1": 0.8418,
+    "ndcg_at_10": 0.90525,
+    "ndcg_at_100": 0.91124,
+    "ndcg_at_1000": 0.91208,
+    "ndcg_at_3": 0.88843,
+    "ndcg_at_5": 0.89841,
+    "precision_at_1": 0.8418,
+    "precision_at_10": 0.09644,
+    "precision_at_100": 0.00993,
+    "precision_at_1000": 0.001,
+    "precision_at_3": 0.30632,
+    "precision_at_5": 0.18867,
+    "recall_at_1": 0.8418,
+    "recall_at_10": 0.96436,
+    "recall_at_100": 0.99268,
+    "recall_at_1000": 0.99951,
+    "recall_at_3": 0.91895,
+    "recall_at_5": 0.94336
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TbilisiCityHallBitextMining.json

@@ -0,0 +1,22 @@
+{
+  "dataset_revision": "798bb599140565cca2dab8473035fa167e5ee602",
+  "mteb_dataset_name": "TbilisiCityHallBitextMining",
+  "mteb_version": "1.7.60",
+  "test": {
+    "eng_Latn-kat_Geor": {
+      "accuracy": 0.8675824175824176,
+      "f1": 0.837220041862899,
+      "main_score": 0.837220041862899,
+      "precision": 0.8243570847142275,
+      "recall": 0.8675824175824176
+    },
+    "evaluation_time": 3.79,
+    "kat_Geor-eng_Latn": {
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+      "f1": 0.7286098028955171,
+      "main_score": 0.7286098028955171,
+      "precision": 0.7090851410494268,
+      "recall": 0.7791208791208791
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TenKGnadClusteringS2S.v2.json

@@ -0,0 +1,21 @@
+{
+  "dataset_revision": "6cddbe003f12b9b140aec477b583ac4191f01786",
+  "mteb_dataset_name": "TenKGnadClusteringS2S.v2",
+  "mteb_version": "1.6.37",
+  "test": {
+    "evaluation_time": 38.72,
+    "v_measure": 0.3057386677423264,
+    "v_measures": [
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+      0.28114888325040616,
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+      0.2834807846667271,
+      0.32309434258072794,
+      0.2965499448792432,
+      0.2899388973577858,
+      0.33353863045915677
+    ]
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/ThuNewsClusteringP2P.v2.json

@@ -0,0 +1,23 @@
+{
+  "dataset_revision": "5798586b105c0434e4f0fe5e767abe619442cf93",
+  "mteb_dataset_name": "ThuNewsClusteringP2P.v2",
+  "mteb_version": "1.8.3",
+  "test": {
+    "evaluation_time": 3.6,
+    "v_measure": 0.5427115453259256,
+    "v_measures": {
+      "Level 0": [
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+        0.5517667836616685,
+        0.5023328122031243,
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+        0.5372645780041132,
+        0.5510179876335652,
+        0.5780651876980002,
+        0.5284934667926814,
+        0.5319390760219745,
+        0.5279977586457071
+      ]
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TopiOCQA.json

@@ -0,0 +1,43 @@
+{
+  "dataset_revision": "66cd1dbf5577c653ecb99b385200f08e15e12f30",
+  "mteb_dataset_name": "TopiOCQA",
+  "mteb_version": "1.10.10",
+  "validation": {
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+    "map_at_1": 0.07239,
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+    "map_at_100": 0.11759,
+    "map_at_1000": 0.11824,
+    "map_at_20": 0.11459,
+    "map_at_3": 0.09653,
+    "map_at_5": 0.10496,
+    "mrr_at_1": 0.07239,
+    "mrr_at_10": 0.11074,
+    "mrr_at_100": 0.11759,
+    "mrr_at_1000": 0.11824,
+    "mrr_at_20": 0.11459,
+    "mrr_at_3": 0.09653,
+    "mrr_at_5": 0.10496,
+    "ndcg_at_1": 0.07239,
+    "ndcg_at_10": 0.13367,
+    "ndcg_at_100": 0.17026,
+    "ndcg_at_1000": 0.18975,
+    "ndcg_at_20": 0.14761,
+    "ndcg_at_3": 0.10452,
+    "ndcg_at_5": 0.11965,
+    "precision_at_1": 0.07239,
+    "precision_at_10": 0.02076,
+    "precision_at_100": 0.00387,
+    "precision_at_1000": 0.00055,
+    "precision_at_20": 0.01313,
+    "precision_at_3": 0.04256,
+    "precision_at_5": 0.03286,
+    "recall_at_1": 0.07239,
+    "recall_at_10": 0.20764,
+    "recall_at_100": 0.38663,
+    "recall_at_1000": 0.54535,
+    "recall_at_20": 0.26253,
+    "recall_at_3": 0.12768,
+    "recall_at_5": 0.16428
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/ToxicChatClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "3e0319203c7162b9c9f8015b594441f979c199bc",
+  "mteb_dataset_name": "ToxicChatClassification",
+  "mteb_version": "1.7.14",
+  "test": {
+    "accuracy": 0.7553264604810996,
+    "accuracy_stderr": 0.07356059209259962,
+    "ap": 0.25308059339995304,
+    "ap_stderr": 0.04636785346328314,
+    "evaluation_time": 11.12,
+    "f1": 0.6326884501428076,
+    "f1_stderr": 0.058890919317560055,
+    "main_score": 0.7553264604810996
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/ToxicConversationsClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "edfaf9da55d3dd50d43143d90c1ac476895ae6de",
+  "mteb_dataset_name": "ToxicConversationsClassification",
+  "mteb_version": "1.7.14",
+  "test": {
+    "accuracy": 0.6205078125,
+    "accuracy_stderr": 0.07958588947232156,
+    "ap": 0.10916441277876192,
+    "ap_stderr": 0.008947708891571328,
+    "evaluation_time": 17.62,
+    "f1": 0.4786390062942355,
+    "f1_stderr": 0.043588795303253346,
+    "main_score": 0.6205078125
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TurHistQuadRetrieval.json

@@ -0,0 +1,43 @@
+{
+  "dataset_revision": "2a2b8ddecf1189f530676244d0751e1d0a569e03",
+  "mteb_dataset_name": "TurHistQuadRetrieval",
+  "mteb_version": "1.6.8",
+  "test": {
+    "evaluation_time": 47.25,
+    "map_at_1": 0.21924,
+    "map_at_10": 0.32851,
+    "map_at_100": 0.34157,
+    "map_at_1000": 0.34355,
+    "map_at_20": 0.33563,
+    "map_at_3": 0.29777,
+    "map_at_5": 0.31447,
+    "mrr_at_1": 0.44336,
+    "mrr_at_10": 0.57768,
+    "mrr_at_100": 0.58363,
+    "mrr_at_1000": 0.58379,
+    "mrr_at_20": 0.5814,
+    "mrr_at_3": 0.55078,
+    "mrr_at_5": 0.5667,
+    "ndcg_at_1": 0.43848,
+    "ndcg_at_10": 0.43286,
+    "ndcg_at_100": 0.48571,
+    "ndcg_at_1000": 0.52601,
+    "ndcg_at_20": 0.45296,
+    "ndcg_at_3": 0.37663,
+    "ndcg_at_5": 0.40394,
+    "precision_at_1": 0.43848,
+    "precision_at_10": 0.09902,
+    "precision_at_100": 0.01413,
+    "precision_at_1000": 0.00196,
+    "precision_at_20": 0.05601,
+    "precision_at_3": 0.24544,
+    "precision_at_5": 0.16895,
+    "recall_at_1": 0.21924,
+    "recall_at_10": 0.49512,
+    "recall_at_100": 0.70654,
+    "recall_at_1000": 0.97754,
+    "recall_at_20": 0.56006,
+    "recall_at_3": 0.36816,
+    "recall_at_5": 0.42236
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TurkicClassification.json

@@ -0,0 +1,29 @@
+{
+  "dataset_revision": "db1a67c1bdd54fbb8536af026dc8596f00f9c41d",
+  "mteb_dataset_name": "TurkicClassification",
+  "mteb_version": "1.7.27",
+  "train": {
+    "ba": {
+      "accuracy": 0.35791015625,
+      "accuracy_stderr": 0.09083343739168231,
+      "f1": 0.18205924060275097,
+      "f1_stderr": 0.007931270521984786,
+      "main_score": 0.35791015625
+    },
+    "evaluation_time": 205.0,
+    "kk": {
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+      "f1": 0.4845587461781438,
+      "f1_stderr": 0.020021461491740177,
+      "main_score": 0.51435546875
+    },
+    "ky": {
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+      "f1": 0.2931609913274359,
+      "f1_stderr": 0.009026072933400978,
+      "main_score": 0.43046875
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TurkishProductSentimentClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "ad861e463abda351ff65ca5ac0cc5985afe9eb99",
+  "mteb_dataset_name": "TurkishProductSentimentClassification",
+  "mteb_version": "1.7.14",
+  "test": {
+    "accuracy": 0.5802499999999999,
+    "accuracy_stderr": 0.04778794304005979,
+    "ap": 0.5486177539106916,
+    "ap_stderr": 0.03139192690394051,
+    "evaluation_time": 5.32,
+    "f1": 0.5781906511133872,
+    "f1_stderr": 0.04777623908949823,
+    "main_score": 0.5802499999999999
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TweetEmotionClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "0ded8ff72cc68cbb7bb5c01b0a9157982b73ddaf",
+  "mteb_dataset_name": "TweetEmotionClassification",
+  "mteb_version": "1.7.11",
+  "train": {
+    "accuracy": 0.511279296875,
+    "accuracy_stderr": 0.014952013825493344,
+    "evaluation_time": 9.7,
+    "f1": 0.4539676908675275,
+    "f1_stderr": 0.015325531013863846,
+    "main_score": 0.511279296875
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TweetSarcasmClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "557bf94ac6177cc442f42d0b09b6e4b76e8f47c9",
+  "mteb_dataset_name": "TweetSarcasmClassification",
+  "mteb_version": "1.6.3",
+  "test": {
+    "accuracy": 0.6092890995260664,
+    "accuracy_stderr": 0.05778889697626046,
+    "ap": 0.21062256522709083,
+    "ap_stderr": 0.023466145869731458,
+    "evaluation_time": 101.85,
+    "f1": 0.530366152651704,
+    "f1_stderr": 0.042122735616090375,
+    "main_score": 0.6092890995260664
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TweetSentimentClassification.json

@@ -0,0 +1,64 @@
+{
+  "dataset_revision": "14b13edfbc4046892f6011d114c29c0f83170589",
+  "mteb_dataset_name": "TweetSentimentClassification",
+  "mteb_version": "1.7.40",
+  "test": {
+    "arabic": {
+      "accuracy": 0.48359375,
+      "accuracy_stderr": 0.05119423414189336,
+      "f1": 0.4665069540755282,
+      "f1_stderr": 0.053537433628209126,
+      "main_score": 0.48359375
+    },
+    "english": {
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+      "accuracy_stderr": 0.020758328524353786,
+      "f1": 0.49122983557790834,
+      "f1_stderr": 0.027050415221438424,
+      "main_score": 0.50625
+    },
+    "evaluation_time": 9.21,
+    "french": {
+      "accuracy": 0.46796875,
+      "accuracy_stderr": 0.03952074959356793,
+      "f1": 0.4625026576869818,
+      "f1_stderr": 0.04174274171094167,
+      "main_score": 0.46796875
+    },
+    "german": {
+      "accuracy": 0.542578125,
+      "accuracy_stderr": 0.030879147146830738,
+      "f1": 0.5402160159852935,
+      "f1_stderr": 0.030994484379560573,
+      "main_score": 0.542578125
+    },
+    "hindi": {
+      "accuracy": 0.366015625,
+      "accuracy_stderr": 0.049009039842952705,
+      "f1": 0.3615475949350663,
+      "f1_stderr": 0.04770803261081365,
+      "main_score": 0.366015625
+    },
+    "italian": {
+      "accuracy": 0.48671875,
+      "accuracy_stderr": 0.0647589807357829,
+      "f1": 0.4622386564468567,
+      "f1_stderr": 0.0738871672919012,
+      "main_score": 0.48671875
+    },
+    "portuguese": {
+      "accuracy": 0.467578125,
+      "accuracy_stderr": 0.019456889695956672,
+      "f1": 0.46145513352481027,
+      "f1_stderr": 0.020486063439540143,
+      "main_score": 0.467578125
+    },
+    "spanish": {
+      "accuracy": 0.45703125,
+      "accuracy_stderr": 0.04141361962718304,
+      "f1": 0.44253494659642734,
+      "f1_stderr": 0.05122657838363042,
+      "main_score": 0.45703125
+    }
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TweetTopicSingleClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "87b7a0d1c402dbb481db649569c556d9aa27ac05",
+  "mteb_dataset_name": "TweetTopicSingleClassification",
+  "mteb_version": "1.6.37",
+  "test_2021": {
+    "accuracy": 0.6785587714116952,
+    "accuracy_stderr": 0.028139338006040127,
+    "evaluation_time": 19.81,
+    "f1": 0.5142011618238702,
+    "f1_stderr": 0.02529595980311306,
+    "main_score": 0.6785587714116952
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TwentyNewsgroupsClustering.v2.json

@@ -0,0 +1,33 @@
+{
+  "dataset_revision": "6125ec4e24fa026cec8a478383ee943acfbd5449",
+  "evaluation_time": 2.6293156147003174,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.8.3",
+  "scores": {
+    "test": [
+      {
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ],
+        "main_score": 0.32604650348043585,
+        "v_measure": 0.32604650348043585,
+        "v_measures": {
+          "Level 0": [
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+            0.3430583768296789,
+            0.3163791042482802,
+            0.3185594068455394,
+            0.34544466483355424,
+            0.35828443766136053,
+            0.3100160185674597,
+            0.28107584886776854,
+            0.3287535320929751,
+            0.334631471124915
+          ]
+        }
+      }
+    ]
+  },
+  "task_name": "TwentyNewsgroupsClustering.v2"
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/TwitterHjerneRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": "099ee143c7fdfa6bd7965be8c801cb161c313b29",
+  "mteb_dataset_name": "TwitterHjerneRetrieval",
+  "mteb_version": "1.2.1.dev0",
+  "train": {
+    "evaluation_time": 7.9,
+    "map_at_1": 0.22778,
+    "map_at_10": 0.45115,
+    "map_at_100": 0.48278,
+    "map_at_1000": 0.48502,
+    "map_at_3": 0.38038,
+    "map_at_5": 0.42546,
+    "mrr_at_1": 0.69231,
+    "mrr_at_10": 0.75516,
+    "mrr_at_100": 0.75927,
+    "mrr_at_1000": 0.75933,
+    "mrr_at_3": 0.73932,
+    "mrr_at_5": 0.75085,
+    "ndcg_at_1": 0.69231,
+    "ndcg_at_10": 0.55431,
+    "ndcg_at_100": 0.64901,
+    "ndcg_at_1000": 0.67244,
+    "ndcg_at_3": 0.53146,
+    "ndcg_at_5": 0.52188,
+    "precision_at_1": 0.69231,
+    "precision_at_10": 0.18718,
+    "precision_at_100": 0.02974,
+    "precision_at_1000": 0.00336,
+    "precision_at_3": 0.44017,
+    "precision_at_5": 0.32308,
+    "recall_at_1": 0.22778,
+    "recall_at_10": 0.55192,
+    "recall_at_100": 0.86432,
+    "recall_at_1000": 0.98718,
+    "recall_at_3": 0.40449,
+    "recall_at_5": 0.47692
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/UCCVCommonLawLegalBenchClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "UCCVCommonLawLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.4787234042553192,
+    "accuracy_stderr": 0.0,
+    "ap": 0.4183041301627034,
+    "ap_stderr": 0.0,
+    "evaluation_time": 11.57,
+    "f1": 0.478191911181602,
+    "f1_stderr": 0.0,
+    "main_score": 0.4787234042553192
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/UkrFormalityClassification.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "671d1e6bbf45a74ef21af351fd4ef7b32b7856f8",
+  "mteb_dataset_name": "UkrFormalityClassification",
+  "mteb_version": "1.6.37",
+  "test": {
+    "accuracy": 0.531884765625,
+    "accuracy_stderr": 0.042682624460272475,
+    "ap": 0.4519191811919496,
+    "ap_stderr": 0.023030098181090915,
+    "evaluation_time": 6.41,
+    "f1": 0.5232694350569594,
+    "f1_stderr": 0.04149209518186783,
+    "main_score": 0.531884765625
+  },
+  "train": {
+    "accuracy": 0.53310546875,
+    "accuracy_stderr": 0.03355227727082908,
+    "ap": 0.5188855107501925,
+    "ap_stderr": 0.018712669478063233,
+    "evaluation_time": 11.28,
+    "f1": 0.5264433232444724,
+    "f1_stderr": 0.03228714969033335,
+    "main_score": 0.53310546875
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/UnfairTOSLegalBenchClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "12ca3b695563788fead87a982ad1a068284413f4",
+  "mteb_dataset_name": "UnfairTOSLegalBenchClassification",
+  "mteb_version": "1.7.7",
+  "test": {
+    "accuracy": 0.21826171875,
+    "accuracy_stderr": 0.0,
+    "evaluation_time": 133.33,
+    "f1": 0.1602426715121114,
+    "f1_stderr": 0.0,
+    "main_score": 0.21826171875
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/UrduRomanSentimentClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "566be6449bb30b9b9f2b59173391647fe0ca3224",
+  "mteb_dataset_name": "UrduRomanSentimentClassification",
+  "mteb_version": "1.7.6",
+  "train": {
+    "accuracy": 0.41708984375,
+    "accuracy_stderr": 0.041740365018761084,
+    "evaluation_time": 16.99,
+    "f1": 0.4036945993529546,
+    "f1_stderr": 0.03620053354369278,
+    "main_score": 0.4036945993529546
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VGClustering.json

@@ -0,0 +1,11 @@
+{
+  "dataset_revision": "d4c5a8ba10ae71224752c727094ac4c46947fa29",
+  "mteb_dataset_name": "VGClustering",
+  "mteb_version": "1.2.1.dev0",
+  "test": {
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+    "main_score": 0.2969633589219411,
+    "v_measure": 0.2969633589219411,
+    "v_measure_std": 0.030999119100223394
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VGHierarchicalClusteringP2P.json

@@ -0,0 +1,45 @@
+{
+  "dataset_revision": "d4c5a8ba10ae71224752c727094ac4c46947fa29",
+  "evaluation_time": 135.50683665275574,
+  "kg_co2_emissions": null,
+  "mteb_version": "1.11.6",
+  "scores": {
+    "test": [
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+        "languages": [
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+    ]
+  },
+  "task_name": "VGHierarchicalClusteringP2P"
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VGHierarchicalClusteringS2S.json

@@ -0,0 +1,45 @@
+{
+  "dataset_revision": "d4c5a8ba10ae71224752c727094ac4c46947fa29",
+  "evaluation_time": 23.324329137802124,
+  "kg_co2_emissions": null,
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+  },
+  "task_name": "VGHierarchicalClusteringS2S"
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VieMedEVBitextMining.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "d03c69413bc53d1cea5a5375b3a953c4fee35ecd",
+  "mteb_dataset_name": "VieMedEVBitextMining",
+  "mteb_version": "1.6.2",
+  "test": {
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+    "evaluation_time": 13.31,
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+    "main_score": 0.7115196432599935,
+    "precision": 0.7056239054789202,
+    "recall": 0.7275390625
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VieQuADRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": "406f09a45cc106a8f7b7fd0c25078883fe58cb1f",
+  "mteb_dataset_name": "VieQuADRetrieval",
+  "mteb_version": "1.6.1",
+  "validation": {
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+    "mrr_at_3": 0.54468,
+    "mrr_at_5": 0.56357,
+    "ndcg_at_1": 0.43408,
+    "ndcg_at_10": 0.47334,
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+    "ndcg_at_1000": 0.56033,
+    "ndcg_at_3": 0.39704,
+    "ndcg_at_5": 0.43521,
+    "precision_at_1": 0.43408,
+    "precision_at_10": 0.1144,
+    "precision_at_100": 0.01671,
+    "precision_at_1000": 0.00194,
+    "precision_at_3": 0.26693,
+    "precision_at_5": 0.19043,
+    "recall_at_1": 0.21704,
+    "recall_at_10": 0.57202,
+    "recall_at_100": 0.83545,
+    "recall_at_1000": 0.96875,
+    "recall_at_3": 0.40039,
+    "recall_at_5": 0.47607
+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/VieStudentFeedbackClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "7b56c6cb1c9c8523249f407044c838660df3811a",
+  "mteb_dataset_name": "VieStudentFeedbackClassification",
+  "mteb_version": "1.7.14",
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+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WRIMEClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3fb7212c389d7818b8e6179e2cdac762f2e081d9",
+  "mteb_dataset_name": "WRIMEClassification",
+  "mteb_version": "1.7.14",
+  "test": {
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+    "f1_stderr": 0.016737742356196433,
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+  }
+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WikiClusteringFastP2P.json

@@ -0,0 +1,260 @@
+{
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+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WikiClusteringP2P.json

@@ -0,0 +1,78 @@
+{
+  "dataset_revision": "d4d92f8f28be71035be6a96bdfd4e200cf62faa8",
+  "mteb_dataset_name": "WikiClusteringP2P",
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+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WikipediaRerankingMultilingual.json

@@ -0,0 +1,155 @@
+{
+  "dataset_revision": "6268b37d6f975f2a134791ba2f250a91d0bdfb4f",
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+        "languages": [
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+        "mrr": 0.8924997354497355
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+      {
+        "hf_subset": "de",
+        "languages": [
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+        "languages": [
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+        "main_score": 0.9061264550264551,
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+        "mrr": 0.9061264550264551
+      },
+      {
+        "hf_subset": "fa",
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+        "map": 0.8803259259259258,
+        "mrr": 0.8803259259259258
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+      {
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+        "languages": [
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+}

testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WikipediaRetrievalMultilingual.json

@@ -0,0 +1,683 @@
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testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/WisesightSentimentClassification.json

@@ -0,0 +1,13 @@
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testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/XNLI.json

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testbed/embeddings-benchmark__mteb/results/intfloat__multilingual-e5-small/XNLIV2.json

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