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mteb_results/no_model_name_available/no_revision_available/PawsXPairClassification.json

@@ -0,0 +1,8 @@
+{
+  "dataset_revision": "8a04d940a42cd40658986fdd8e3da561533a3646",
+  "task_name": "PawsXPairClassification",
+  "mteb_version": "1.39.7",
+  "scores": {},
+  "evaluation_time": 3.0994415283203125e-06,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/STS17.json

@@ -0,0 +1,27 @@
+{
+  "dataset_revision": "faeb762787bd10488a50c8b5be4a3b82e411949c",
+  "task_name": "STS17",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.066642,
+        "spearman": 0.056762,
+        "cosine_pearson": 0.066642,
+        "cosine_spearman": 0.056762,
+        "manhattan_pearson": 0.056788,
+        "manhattan_spearman": 0.049628,
+        "euclidean_pearson": 0.064266,
+        "euclidean_spearman": 0.056762,
+        "main_score": 0.056762,
+        "hf_subset": "en-tr",
+        "languages": [
+          "eng-Latn",
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 2.751024007797241,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/STS22.v2.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "d31f33a128469b20e357535c39b82fb3c3f6f2bd",
+  "task_name": "STS22.v2",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.194686,
+        "spearman": 0.305049,
+        "cosine_pearson": 0.194686,
+        "cosine_spearman": 0.305049,
+        "manhattan_pearson": 0.256526,
+        "manhattan_spearman": 0.308185,
+        "euclidean_pearson": 0.247504,
+        "euclidean_spearman": 0.305049,
+        "main_score": 0.305049,
+        "hf_subset": "tr",
+        "languages": [
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 2.6055281162261963,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/STSBenchmarkMultilingualSTS.json

@@ -0,0 +1,8 @@
+{
+  "dataset_revision": "29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c",
+  "task_name": "STSBenchmarkMultilingualSTS",
+  "mteb_version": "1.39.7",
+  "scores": {},
+  "evaluation_time": 7.867813110351562e-06,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/XNLI.json

@@ -0,0 +1,58 @@
+{
+  "dataset_revision": "09698e0180d87dc247ca447d3a1248b931ac0cdb",
+  "task_name": "XNLI",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "similarity_accuracy": 0.572894,
+        "similarity_accuracy_threshold": 0.561704,
+        "similarity_f1": 0.671642,
+        "similarity_f1_threshold": 0.086651,
+        "similarity_precision": 0.508283,
+        "similarity_recall": 0.989736,
+        "similarity_ap": 0.590296,
+        "cosine_accuracy": 0.572894,
+        "cosine_accuracy_threshold": 0.561704,
+        "cosine_f1": 0.671642,
+        "cosine_f1_threshold": 0.086651,
+        "cosine_precision": 0.508283,
+        "cosine_recall": 0.989736,
+        "cosine_ap": 0.590296,
+        "manhattan_accuracy": 0.578022,
+        "manhattan_accuracy_threshold": 17.490845,
+        "manhattan_f1": 0.672718,
+        "manhattan_f1_threshold": 22.893854,
+        "manhattan_precision": 0.512683,
+        "manhattan_recall": 0.978006,
+        "manhattan_ap": 0.593895,
+        "euclidean_accuracy": 0.572894,
+        "euclidean_accuracy_threshold": 0.936265,
+        "euclidean_f1": 0.671642,
+        "euclidean_f1_threshold": 1.351554,
+        "euclidean_precision": 0.508283,
+        "euclidean_recall": 0.989736,
+        "euclidean_ap": 0.590296,
+        "dot_accuracy": 0.572894,
+        "dot_accuracy_threshold": 0.561704,
+        "dot_f1": 0.671642,
+        "dot_f1_threshold": 0.086651,
+        "dot_precision": 0.508283,
+        "dot_recall": 0.989736,
+        "dot_ap": 0.590296,
+        "max_accuracy": 0.578022,
+        "max_f1": 0.672718,
+        "max_precision": 0.512683,
+        "max_recall": 0.989736,
+        "max_ap": 0.593895,
+        "main_score": 0.593895,
+        "hf_subset": "tr",
+        "languages": [
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 14.776447296142578,
+  "kg_co2_emissions": null
+}

mteb_results/results_summary.json

@@ -1,9 +1,9 @@
 {
   "repo_name": "Basar2004/turkish-sentence-encoder",
-  "timestamp": "2026-01-19T20:40:47.668090",
+  "timestamp": "2026-01-19T21:28:18.000117",
   "tasks": [
-    "MassiveIntentClassification",
-    "MassiveScenarioClassification",
-    "STS22"
+    "STS17",
+    "STS22.v2",
+    "XNLI"
   ]
 }