Add results

results/text-similarity-babbage-001/AskUbuntuDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.5468
+    },
+    "mteb_dataset_name": "AskUbuntuDupQuestions",
+    "dataset_revision": "4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c"
+}

results/text-similarity-babbage-001/BIOSSES.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.7812
+        }
+    },
+    "mteb_dataset_name": "BIOSSES",
+    "dataset_revision": "9ee918f184421b6bd48b78f6c714d86546106103"
+}

results/text-similarity-babbage-001/RedditClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.4564
+    },
+    "mteb_dataset_name": "RedditClustering",
+    "dataset_revision": "b2805658ae38990172679479369a78b86de8c390"
+}

results/text-similarity-babbage-001/SICK-R.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.7702
+        }
+    },
+    "mteb_dataset_name": "SICK-R",
+    "dataset_revision": "20a6d6f312dd54037fe07a32d58e5e168867909d"
+}

results/text-similarity-babbage-001/STSBenchmark.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.8432
+        }
+    },
+    "mteb_dataset_name": "STSBenchmark",
+    "dataset_revision": "8913289635987208e6e7c72789e4be2fe94b6abd"
+}

results/text-similarity-babbage-001/SciDocsRR.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.7278
+    },
+    "mteb_dataset_name": "SciDocsRR",
+    "dataset_revision": "56a6d0140cf6356659e2a7c1413286a774468d44"
+}

results/text-similarity-babbage-001/SprintDuplicateQuestions.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.7646
+        }
+    },
+    "mteb_dataset_name": "SprintDuplicateQuestions",
+    "dataset_revision": "5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea"
+}

results/text-similarity-babbage-001/StackExchangeClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.5301
+    },
+    "mteb_dataset_name": "StackExchangeClustering",
+    "dataset_revision": "70a89468f6dccacc6aa2b12a6eac54e74328f235"
+}

results/text-similarity-babbage-001/StackOverflowDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.4065
+    },
+    "mteb_dataset_name": "StackOverflowDupQuestions",
+    "dataset_revision": "ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9"
+}

results/text-similarity-babbage-001/TwentyNewsgroupsClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.4201
+    },
+    "mteb_dataset_name": "TwentyNewsgroupsClustering",
+    "dataset_revision": "091a54f9a36281ce7d6590ec8c75dd485e7e01d4"
+}

results/text-similarity-babbage-001/TwitterSemEval2015.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.7085
+        }
+    },
+    "mteb_dataset_name": "TwitterSemEval2015",
+    "dataset_revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"
+}

results/text-similarity-babbage-001/TwitterURLCorpus.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.8508
+        }
+    },
+    "mteb_dataset_name": "TwitterURLCorpus",
+    "dataset_revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"
+}

results/text-similarity-curie-001/AskUbuntuDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.5509
+    },
+    "mteb_dataset_name": "AskUbuntuDupQuestions",
+    "dataset_revision": "4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c"
+}

results/text-similarity-curie-001/BIOSSES.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.7746
+        }
+    },
+    "mteb_dataset_name": "BIOSSES",
+    "dataset_revision": "9ee918f184421b6bd48b78f6c714d86546106103"
+}

results/text-similarity-curie-001/RedditClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.4079
+    },
+    "mteb_dataset_name": "RedditClustering",
+    "dataset_revision": "b2805658ae38990172679479369a78b86de8c390"
+}

results/text-similarity-curie-001/SICK-R.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.7726
+        }
+    },
+    "mteb_dataset_name": "SICK-R",
+    "dataset_revision": "20a6d6f312dd54037fe07a32d58e5e168867909d"
+}

results/text-similarity-curie-001/STSBenchmark.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.8302
+        }
+    },
+    "mteb_dataset_name": "STSBenchmark",
+    "dataset_revision": "8913289635987208e6e7c72789e4be2fe94b6abd"
+}

results/text-similarity-curie-001/SciDocsRR.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.7093
+    },
+    "mteb_dataset_name": "SciDocsRR",
+    "dataset_revision": "56a6d0140cf6356659e2a7c1413286a774468d44"
+}

results/text-similarity-curie-001/SprintDuplicateQuestions.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.7985
+        }
+    },
+    "mteb_dataset_name": "SprintDuplicateQuestions",
+    "dataset_revision": "5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea"
+}

results/text-similarity-curie-001/StackExchangeClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.5514
+    },
+    "mteb_dataset_name": "StackExchangeClustering",
+    "dataset_revision": "70a89468f6dccacc6aa2b12a6eac54e74328f235"
+}

results/text-similarity-curie-001/StackOverflowDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.4242
+    },
+    "mteb_dataset_name": "StackOverflowDupQuestions",
+    "dataset_revision": "ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9"
+}

results/text-similarity-curie-001/TwentyNewsgroupsClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.3764
+    },
+    "mteb_dataset_name": "TwentyNewsgroupsClustering",
+    "dataset_revision": "091a54f9a36281ce7d6590ec8c75dd485e7e01d4"
+}

results/text-similarity-curie-001/TwitterSemEval2015.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.6945
+        }
+    },
+    "mteb_dataset_name": "TwitterSemEval2015",
+    "dataset_revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"
+}

results/text-similarity-curie-001/TwitterURLCorpus.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.8406
+        }
+    },
+    "mteb_dataset_name": "TwitterURLCorpus",
+    "dataset_revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"
+}

results/text-similarity-davinci-001/AskUbuntuDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.5356
+    },
+    "mteb_dataset_name": "AskUbuntuDupQuestions",
+    "dataset_revision": "4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c"
+}

results/text-similarity-davinci-001/BIOSSES.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.6895
+        }
+    },
+    "mteb_dataset_name": "BIOSSES",
+    "dataset_revision": "9ee918f184421b6bd48b78f6c714d86546106103"
+}

results/text-similarity-davinci-001/RedditClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.3178
+    },
+    "mteb_dataset_name": "RedditClustering",
+    "dataset_revision": "b2805658ae38990172679479369a78b86de8c390"
+}

results/text-similarity-davinci-001/SICK-R.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.7872
+        }
+    },
+    "mteb_dataset_name": "SICK-R",
+    "dataset_revision": "20a6d6f312dd54037fe07a32d58e5e168867909d"
+}

results/text-similarity-davinci-001/STSBenchmark.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "spearman": 0.8408
+        }
+    },
+    "mteb_dataset_name": "STSBenchmark",
+    "dataset_revision": "8913289635987208e6e7c72789e4be2fe94b6abd"
+}

results/text-similarity-davinci-001/SciDocsRR.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.6870
+    },
+    "mteb_dataset_name": "SciDocsRR",
+    "dataset_revision": "56a6d0140cf6356659e2a7c1413286a774468d44"
+}

results/text-similarity-davinci-001/SprintDuplicateQuestions.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.6952
+        }
+    },
+    "mteb_dataset_name": "SprintDuplicateQuestions",
+    "dataset_revision": "5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea"
+}

results/text-similarity-davinci-001/StackExchangeClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.3686
+    },
+    "mteb_dataset_name": "StackExchangeClustering",
+    "dataset_revision": "70a89468f6dccacc6aa2b12a6eac54e74328f235"
+}

results/text-similarity-davinci-001/StackOverflowDupQuestions.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "map": 0.3941
+    },
+    "mteb_dataset_name": "StackOverflowDupQuestions",
+    "dataset_revision": "ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9"
+}

results/text-similarity-davinci-001/TwentyNewsgroupsClustering.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "v_measure": 0.2933
+    },
+    "mteb_dataset_name": "TwentyNewsgroupsClustering",
+    "dataset_revision": "091a54f9a36281ce7d6590ec8c75dd485e7e01d4"
+}

results/text-similarity-davinci-001/TwitterSemEval2015.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.7442
+        }
+    },
+    "mteb_dataset_name": "TwitterSemEval2015",
+    "dataset_revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"
+}

results/text-similarity-davinci-001/TwitterURLCorpus.json

@@ -0,0 +1,10 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "cos_sim": {
+            "ap": 0.8375
+        }
+    },
+    "mteb_dataset_name": "TwitterURLCorpus",
+    "dataset_revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"
+}