Add results for voyage model (#151)

* add results for voyage

* renamed model folder

* remove

pyproject.toml

@@ -3,5 +3,11 @@ name = "results"
 version = "0.1.0"
 description = "The result repository for mteb"
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.9,<3.13"                # pytrec-eval-terrier does not compile for 3.13
 dependencies = ["mteb[dev]>=1.13.0"]
+
+[dependency-groups]
+dev = [
+    "ipykernel>=6.29.5",
+    "pip>=25.0.1",
+]

results/voyageai__voyage-2/1/AmazonCounterfactualClassification.json

@@ -0,0 +1,95 @@
+{
+  "dataset_revision": "e8379541af4e31359cca9fbcf4b00f2671dba205",
+  "task_name": "AmazonCounterfactualClassification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.695522,
+        "f1": 0.634324,
+        "f1_weighted": 0.724555,
+        "ap": 0.321044,
+        "ap_weighted": 0.321044,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.649254,
+            "f1": 0.583037,
+            "f1_weighted": 0.684222,
+            "ap": 0.268174,
+            "ap_weighted": 0.268174
+          },
+          {
+            "accuracy": 0.753731,
+            "f1": 0.688285,
+            "f1_weighted": 0.775263,
+            "ap": 0.370247,
+            "ap_weighted": 0.370247
+          },
+          {
+            "accuracy": 0.58806,
+            "f1": 0.552854,
+            "f1_weighted": 0.629258,
+            "ap": 0.272517,
+            "ap_weighted": 0.272517
+          },
+          {
+            "accuracy": 0.695522,
+            "f1": 0.633294,
+            "f1_weighted": 0.725284,
+            "ap": 0.315682,
+            "ap_weighted": 0.315682
+          },
+          {
+            "accuracy": 0.707463,
+            "f1": 0.651741,
+            "f1_weighted": 0.736571,
+            "ap": 0.340628,
+            "ap_weighted": 0.340628
+          },
+          {
+            "accuracy": 0.726866,
+            "f1": 0.670555,
+            "f1_weighted": 0.753497,
+            "ap": 0.360029,
+            "ap_weighted": 0.360029
+          },
+          {
+            "accuracy": 0.753731,
+            "f1": 0.671642,
+            "f1_weighted": 0.77162,
+            "ap": 0.339013,
+            "ap_weighted": 0.339013
+          },
+          {
+            "accuracy": 0.732836,
+            "f1": 0.66528,
+            "f1_weighted": 0.756851,
+            "ap": 0.343198,
+            "ap_weighted": 0.343198
+          },
+          {
+            "accuracy": 0.702985,
+            "f1": 0.645907,
+            "f1_weighted": 0.732479,
+            "ap": 0.333184,
+            "ap_weighted": 0.333184
+          },
+          {
+            "accuracy": 0.644776,
+            "f1": 0.580651,
+            "f1_weighted": 0.68051,
+            "ap": 0.267764,
+            "ap_weighted": 0.267764
+          }
+        ],
+        "main_score": 0.695522,
+        "hf_subset": "en",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 22.0602068901062,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/AmazonReviewsClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "1399c76144fd37290681b995c656ef9b2e06e26d",
+  "task_name": "AmazonReviewsClassification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.42068,
+        "f1": 0.406899,
+        "f1_weighted": 0.406899,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.444,
+            "f1": 0.424666,
+            "f1_weighted": 0.424666
+          },
+          {
+            "accuracy": 0.4292,
+            "f1": 0.407158,
+            "f1_weighted": 0.407158
+          },
+          {
+            "accuracy": 0.4102,
+            "f1": 0.402591,
+            "f1_weighted": 0.402591
+          },
+          {
+            "accuracy": 0.4322,
+            "f1": 0.418908,
+            "f1_weighted": 0.418908
+          },
+          {
+            "accuracy": 0.4268,
+            "f1": 0.40691,
+            "f1_weighted": 0.40691
+          },
+          {
+            "accuracy": 0.4072,
+            "f1": 0.398244,
+            "f1_weighted": 0.398244
+          },
+          {
+            "accuracy": 0.4012,
+            "f1": 0.391319,
+            "f1_weighted": 0.391319
+          },
+          {
+            "accuracy": 0.4362,
+            "f1": 0.439332,
+            "f1_weighted": 0.439332
+          },
+          {
+            "accuracy": 0.4164,
+            "f1": 0.396183,
+            "f1_weighted": 0.396183
+          },
+          {
+            "accuracy": 0.4034,
+            "f1": 0.383678,
+            "f1_weighted": 0.383678
+          }
+        ],
+        "main_score": 0.42068,
+        "hf_subset": "en",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 283.1336479187012,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/ArXivHierarchicalClusteringP2P.json

@@ -0,0 +1,46 @@
+{
+  "dataset_revision": "0bbdb47bcbe3a90093699aefeed338a0f28a7ee8",
+  "task_name": "ArXivHierarchicalClusteringP2P",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.562404,
+            0.599307,
+            0.600505,
+            0.604632,
+            0.542921,
+            0.552999,
+            0.533494,
+            0.590038,
+            0.610404,
+            0.552781
+          ],
+          "Level 1": [
+            0.562446,
+            0.574968,
+            0.571951,
+            0.576544,
+            0.563843,
+            0.55949,
+            0.597775,
+            0.576352,
+            0.536795,
+            0.626181
+          ]
+        },
+        "v_measure": 0.574792,
+        "v_measure_std": 0.02512,
+        "main_score": 0.574792,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 1000.5131340026855,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/ArXivHierarchicalClusteringS2S.json

@@ -0,0 +1,46 @@
+{
+  "dataset_revision": "b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3",
+  "task_name": "ArXivHierarchicalClusteringS2S",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.573292,
+            0.530668,
+            0.498832,
+            0.565711,
+            0.522439,
+            0.476578,
+            0.58589,
+            0.582446,
+            0.512015,
+            0.521227
+          ],
+          "Level 1": [
+            0.549254,
+            0.563597,
+            0.557765,
+            0.588363,
+            0.55805,
+            0.545452,
+            0.528399,
+            0.574015,
+            0.520908,
+            0.560871
+          ]
+        },
+        "v_measure": 0.545789,
+        "v_measure_std": 0.029999,
+        "main_score": 0.545789,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 4.2193968296051025,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/BIOSSES.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a",
+  "task_name": "BIOSSES",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.885357,
+        "spearman": 0.87346,
+        "cosine_pearson": 0.885357,
+        "cosine_spearman": 0.87346,
+        "manhattan_pearson": 0.876676,
+        "manhattan_spearman": 0.874797,
+        "euclidean_pearson": 0.878306,
+        "euclidean_spearman": 0.87346,
+        "main_score": 0.87346,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 2.4972140789031982,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/Banking77Classification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "0fd18e25b25c072e09e0d92ab615fda904d66300",
+  "task_name": "Banking77Classification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.776234,
+        "f1": 0.765069,
+        "f1_weighted": 0.765069,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.786688,
+            "f1": 0.775862,
+            "f1_weighted": 0.775862
+          },
+          {
+            "accuracy": 0.787662,
+            "f1": 0.776575,
+            "f1_weighted": 0.776575
+          },
+          {
+            "accuracy": 0.793831,
+            "f1": 0.782625,
+            "f1_weighted": 0.782625
+          },
+          {
+            "accuracy": 0.771429,
+            "f1": 0.764319,
+            "f1_weighted": 0.764319
+          },
+          {
+            "accuracy": 0.760065,
+            "f1": 0.744945,
+            "f1_weighted": 0.744945
+          },
+          {
+            "accuracy": 0.786039,
+            "f1": 0.779857,
+            "f1_weighted": 0.779857
+          },
+          {
+            "accuracy": 0.765909,
+            "f1": 0.75367,
+            "f1_weighted": 0.75367
+          },
+          {
+            "accuracy": 0.766558,
+            "f1": 0.754385,
+            "f1_weighted": 0.754385
+          },
+          {
+            "accuracy": 0.777273,
+            "f1": 0.762788,
+            "f1_weighted": 0.762788
+          },
+          {
+            "accuracy": 0.766883,
+            "f1": 0.755661,
+            "f1_weighted": 0.755661
+          }
+        ],
+        "main_score": 0.776234,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 95.84986591339111,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/BiorxivClusteringP2P.v2.json

@@ -0,0 +1,34 @@
+{
+  "dataset_revision": "f5dbc242e11dd8e24def4c4268607a49e02946dc",
+  "task_name": "BiorxivClusteringP2P.v2",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.407808,
+            0.426368,
+            0.404679,
+            0.429346,
+            0.405718,
+            0.444299,
+            0.401083,
+            0.423941,
+            0.405699,
+            0.41511
+          ]
+        },
+        "v_measure": 0.416405,
+        "v_measure_std": 0.013335,
+        "main_score": 0.416405,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 134.63581013679504,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/MTOPDomainClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf",
+  "task_name": "MTOPDomainClassification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.933744,
+        "f1": 0.932139,
+        "f1_weighted": 0.933551,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.932513,
+            "f1": 0.929492,
+            "f1_weighted": 0.932264
+          },
+          {
+            "accuracy": 0.938668,
+            "f1": 0.9373,
+            "f1_weighted": 0.93843
+          },
+          {
+            "accuracy": 0.930005,
+            "f1": 0.929601,
+            "f1_weighted": 0.929697
+          },
+          {
+            "accuracy": 0.933881,
+            "f1": 0.931776,
+            "f1_weighted": 0.933786
+          },
+          {
+            "accuracy": 0.938896,
+            "f1": 0.934557,
+            "f1_weighted": 0.939055
+          },
+          {
+            "accuracy": 0.927041,
+            "f1": 0.93017,
+            "f1_weighted": 0.926561
+          },
+          {
+            "accuracy": 0.917009,
+            "f1": 0.916665,
+            "f1_weighted": 0.916508
+          },
+          {
+            "accuracy": 0.944596,
+            "f1": 0.941677,
+            "f1_weighted": 0.944425
+          },
+          {
+            "accuracy": 0.926585,
+            "f1": 0.925577,
+            "f1_weighted": 0.926512
+          },
+          {
+            "accuracy": 0.948244,
+            "f1": 0.944576,
+            "f1_weighted": 0.948275
+          }
+        ],
+        "main_score": 0.933744,
+        "hf_subset": "en",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 45.53554368019104,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/MassiveIntentClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
+  "task_name": "MassiveIntentClassification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.668964,
+        "f1": 0.628387,
+        "f1_weighted": 0.660862,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.688635,
+            "f1": 0.638339,
+            "f1_weighted": 0.67929
+          },
+          {
+            "accuracy": 0.68729,
+            "f1": 0.646299,
+            "f1_weighted": 0.686165
+          },
+          {
+            "accuracy": 0.647949,
+            "f1": 0.61021,
+            "f1_weighted": 0.638677
+          },
+          {
+            "accuracy": 0.679892,
+            "f1": 0.636426,
+            "f1_weighted": 0.675901
+          },
+          {
+            "accuracy": 0.659045,
+            "f1": 0.615929,
+            "f1_weighted": 0.650105
+          },
+          {
+            "accuracy": 0.647276,
+            "f1": 0.623844,
+            "f1_weighted": 0.631997
+          },
+          {
+            "accuracy": 0.685272,
+            "f1": 0.644456,
+            "f1_weighted": 0.676451
+          },
+          {
+            "accuracy": 0.66577,
+            "f1": 0.625479,
+            "f1_weighted": 0.660331
+          },
+          {
+            "accuracy": 0.647613,
+            "f1": 0.598575,
+            "f1_weighted": 0.627649
+          },
+          {
+            "accuracy": 0.680901,
+            "f1": 0.644315,
+            "f1_weighted": 0.682058
+          }
+        ],
+        "main_score": 0.668964,
+        "hf_subset": "en",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 55.509772062301636,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/MassiveScenarioClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
+  "task_name": "MassiveScenarioClassification",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.740282,
+        "f1": 0.73159,
+        "f1_weighted": 0.737893,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.770679,
+            "f1": 0.763439,
+            "f1_weighted": 0.770041
+          },
+          {
+            "accuracy": 0.740753,
+            "f1": 0.733912,
+            "f1_weighted": 0.73807
+          },
+          {
+            "accuracy": 0.747142,
+            "f1": 0.732102,
+            "f1_weighted": 0.740348
+          },
+          {
+            "accuracy": 0.754876,
+            "f1": 0.74453,
+            "f1_weighted": 0.756729
+          },
+          {
+            "accuracy": 0.726295,
+            "f1": 0.719493,
+            "f1_weighted": 0.718786
+          },
+          {
+            "accuracy": 0.736046,
+            "f1": 0.725717,
+            "f1_weighted": 0.730874
+          },
+          {
+            "accuracy": 0.730666,
+            "f1": 0.722118,
+            "f1_weighted": 0.728823
+          },
+          {
+            "accuracy": 0.726967,
+            "f1": 0.718518,
+            "f1_weighted": 0.728441
+          },
+          {
+            "accuracy": 0.733356,
+            "f1": 0.72568,
+            "f1_weighted": 0.731405
+          },
+          {
+            "accuracy": 0.736046,
+            "f1": 0.730393,
+            "f1_weighted": 0.735409
+          }
+        ],
+        "main_score": 0.740282,
+        "hf_subset": "en",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 37.93454885482788,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/MedrxivClusteringP2P.v2.json

@@ -0,0 +1,34 @@
+{
+  "dataset_revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73",
+  "task_name": "MedrxivClusteringP2P.v2",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.375416,
+            0.351325,
+            0.36872,
+            0.360263,
+            0.356931,
+            0.364946,
+            0.366107,
+            0.36503,
+            0.360284,
+            0.362478
+          ]
+        },
+        "v_measure": 0.36315,
+        "v_measure_std": 0.006265,
+        "main_score": 0.36315,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 144.58351016044617,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/MedrxivClusteringS2S.v2.json

@@ -0,0 +1,34 @@
+{
+  "dataset_revision": "35191c8c0dca72d8ff3efcd72aa802307d469663",
+  "task_name": "MedrxivClusteringS2S.v2",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.353632,
+            0.349945,
+            0.356038,
+            0.346906,
+            0.353443,
+            0.339642,
+            0.344365,
+            0.340969,
+            0.361607,
+            0.342834
+          ]
+        },
+        "v_measure": 0.348938,
+        "v_measure_std": 0.00683,
+        "main_score": 0.348938,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 19.437555074691772,
+  "kg_co2_emissions": null
+}

results/voyageai__voyage-2/1/SICK-R.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "20a6d6f312dd54037fe07a32d58e5e168867909d",
+  "task_name": "SICK-R",
+  "mteb_version": "1.36.10",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.846713,
+        "spearman": 0.794471,
+        "cosine_pearson": 0.846713,
+        "cosine_spearman": 0.794471,
+        "manhattan_pearson": 0.828763,
+        "manhattan_spearman": 0.794455,
+        "euclidean_pearson": 0.828946,
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results/voyageai__voyage-2/1/STS12.json

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results/voyageai__voyage-2/1/STS13.json

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results/voyageai__voyage-2/1/STS14.json

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results/voyageai__voyage-2/1/STS15.json

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results/voyageai__voyage-2/1/STS17.json

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results/voyageai__voyage-2/1/STS22.v2.json

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results/voyageai__voyage-2/1/STSBenchmark.json

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results/voyageai__voyage-2/1/SprintDuplicateQuestions.json

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results/voyageai__voyage-2/1/StackExchangeClustering.v2.json

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results/voyageai__voyage-2/1/StackExchangeClusteringP2P.v2.json

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results/voyageai__voyage-2/1/SummEvalSummarization.v2.json

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results/voyageai__voyage-2/1/ToxicConversationsClassification.json

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results/voyageai__voyage-2/1/TweetSentimentExtractionClassification.json

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results/voyageai__voyage-2/1/TwentyNewsgroupsClustering.v2.json

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results/voyageai__voyage-2/1/TwitterSemEval2015.json

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results/voyageai__voyage-2/1/TwitterURLCorpus.json

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results/voyageai__voyage-2/1/model_meta.json

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results/voyageai__voyage-3-lite/1/STS22.json

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results/voyageai__voyage-3-lite/1/model_meta.json

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results/voyageai__voyage-3-m-exp/1/ArXivHierarchicalClusteringP2P.json

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results/voyageai__voyage-3-m-exp/1/ArXivHierarchicalClusteringS2S.json

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results/voyageai__voyage-3-m-exp/1/BiorxivClusteringP2P.v2.json

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results/voyageai__voyage-3-m-exp/1/MedrxivClusteringP2P.v2.json

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results/voyageai__voyage-3-m-exp/1/MedrxivClusteringS2S.v2.json

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results/voyageai__voyage-3-m-exp/1/STS22.v2.json

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results/voyageai__voyage-3-m-exp/1/StackExchangeClustering.v2.json

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results/voyageai__voyage-3-m-exp/1/StackExchangeClusteringP2P.v2.json

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results/voyageai__voyage-3-m-exp/1/SummEvalSummarization.v2.json

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results/voyageai__voyage-3-m-exp/1/TwentyNewsgroupsClustering.v2.json

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results/voyageai__voyage-3-m-exp/1/model_meta.json

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results/voyageai__voyage-3/1/STS22.json

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results/voyageai__voyage-3/1/model_meta.json

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results/voyageai__voyage-code-2/1/AmazonCounterfactualClassification.json

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results/voyageai__voyage-code-2/1/ArXivHierarchicalClusteringP2P.json

@@ -0,0 +1,46 @@
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results/voyageai__voyage-code-2/1/ArXivHierarchicalClusteringS2S.json

@@ -0,0 +1,46 @@
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results/voyageai__voyage-code-2/1/BIOSSES.json

@@ -0,0 +1,26 @@
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