Add e5 ZH

results.py

@@ -27,6 +27,13 @@ EVAL_LANGS = ['af', 'afr-eng', 'am', 'amh-eng', 'ang-eng', 'ar', 'ar-ar', 'ara-e
 
 SKIP_KEYS = ["std", "evaluation_time", "main_score", "threshold"]
 
+# Use "train" split instead
+TRAIN_SPLIT = ["DanishPoliticalCommentsClassification"]
+# Use "validation" split instead
+VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "TNews", "MultilingualSentiment", "Ocnli"]
+# Use "dev" split instead
+DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "T2Reranking", "T2Retrieval", "VideoRetrieval"]
+
 MODELS = [
     "all-MiniLM-L12-v2",
     "all-MiniLM-L6-v2",
@@ -173,15 +180,12 @@ class MTEBResults(datasets.GeneratorBasedBuilder):
                 res_dict = json.load(f)
                 ds_name = res_dict["mteb_dataset_name"]
                 split = "test"
-                if ds_name in ["AFQMC", "CmedqaRetrieval", "Cmnli", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "IFlyTek", "JDReview", "MedicalRetrieval", "MultilingualSentiment", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "Ocnli", "OnlineShopping", "T2Reranking", "T2Retrieval", "TNews", "VideoRetrieval", "Waimai",]:
-                    if "test" in res_dict:
-                        split = "test"
-                    elif "dev" in res_dict:
-                        split = "dev"
-                    elif "validation" in res_dict:
-                        split = "validation"
-                elif ds_name in ["DanishPoliticalCommentsClassification"]:
+                if ds_name in TRAIN_SPLIT:
                     split = "train"
+                elif ds_name in VALIDATION_SPLIT:
+                    split = "validation"
+                elif ds_name in DEV_SPLIT:
+                    split = "dev"
                 if split not in res_dict:
                     print(f"Skipping {ds_name} as split {split} not present.")
                     continue

results/luotuo-bert-medium/JDReview.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "JDReview",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.7968105065666041,
     "accuracy_stderr": 0.013556564277298419,
     "ap": 0.4273453175940383,

results/luotuo-bert-medium/OnlineShopping.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "OnlineShopping",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.843,
     "accuracy_stderr": 0.019544820285692058,
     "ap": 0.7987414729110291,

results/luotuo-bert-medium/Waimai.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "Waimai",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.7957,
     "accuracy_stderr": 0.03848908936309093,
     "ap": 0.5868772679908123,

results/m3e-base/JDReview.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "JDReview",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8532833020637899,
     "accuracy_stderr": 0.0174352872877883,
     "ap": 0.5352464864512989,

results/m3e-base/OnlineShopping.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "OnlineShopping",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8776999999999999,
     "accuracy_stderr": 0.023311156127485418,
     "ap": 0.8446574974349321,

results/m3e-base/Waimai.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "Waimai",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8399000000000001,
     "accuracy_stderr": 0.040704913708298165,
     "ap": 0.659398567279327,

results/m3e-large/JDReview.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "JDReview",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8692307692307694,
     "accuracy_stderr": 0.018152394175514827,
     "ap": 0.5591323728346198,

results/m3e-large/OnlineShopping.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "OnlineShopping",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8958999999999999,
     "accuracy_stderr": 0.03008803749000592,
     "ap": 0.8597603713701234,

results/m3e-large/Waimai.json

@@ -2,7 +2,7 @@
   "dataset_revision": null,
   "mteb_dataset_name": "Waimai",
   "mteb_version": "1.0.2",
-  "validation": {
+  "test": {
     "accuracy": 0.8608,
     "accuracy_stderr": 0.039866778149230966,
     "ap": 0.6963624485137558,

results/multilingual-e5-large/AFQMC.json

@@ -0,0 +1,20 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "AFQMC",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "cos_sim": {
+      "pearson": NaN,
+      "spearman": NaN
+    },
+    "euclidean": {
+      "pearson": NaN,
+      "spearman": NaN
+    },
+    "evaluation_time": 12.98,
+    "manhattan": {
+      "pearson": NaN,
+      "spearman": NaN
+    }
+  }
+}

results/multilingual-e5-large/ATEC.json

@@ -0,0 +1,20 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "ATEC",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "cos_sim": {
+      "pearson": 0.3983763552325925,
+      "spearman": 0.39806451817039423
+    },
+    "euclidean": {
+      "pearson": 0.42765851116048414,
+      "spearman": 0.39836623957443473
+    },
+    "evaluation_time": 64.8,
+    "manhattan": {
+      "pearson": 0.42690996785182767,
+      "spearman": 0.3976499284462967
+    }
+  }
+}

results/multilingual-e5-large/BQ.json

@@ -0,0 +1,20 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "BQ",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "cos_sim": {
+      "pearson": 0.4652568155265502,
+      "spearman": 0.4643969799177083
+    },
+    "euclidean": {
+      "pearson": 0.4645282487186092,
+      "spearman": 0.4665529328159168
+    },
+    "evaluation_time": 35.01,
+    "manhattan": {
+      "pearson": 0.4643877921228927,
+      "spearman": 0.46653013902577517
+    }
+  }
+}

results/multilingual-e5-large/CLSClusteringP2P.json

@@ -0,0 +1,10 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "CLSClusteringP2P",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "evaluation_time": 2922.58,
+    "v_measure": 0.4067707332914356,
+    "v_measure_std": 0.011685238492202503
+  }
+}

results/multilingual-e5-large/CLSClusteringS2S.json

@@ -0,0 +1,10 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "CLSClusteringS2S",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "evaluation_time": 178.61,
+    "v_measure": 0.3858513162813319,
+    "v_measure_std": 0.012304449594239878
+  }
+}

results/multilingual-e5-large/CMedQAv1.json

@@ -0,0 +1,10 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "CMedQAv1",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "evaluation_time": 996.59,
+    "map": 0.6825080623643341,
+    "mrr": 0.7280083333333334
+  }
+}

results/multilingual-e5-large/CMedQAv2.json

@@ -0,0 +1,10 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "CMedQAv2",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "evaluation_time": 959.3,
+    "map": 0.6855542210791,
+    "mrr": 0.7355956349206348
+  }
+}

results/multilingual-e5-large/CmedqaRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 1480.34,
+    "map_at_1": 0.16722,
+    "map_at_10": 0.23915,
+    "map_at_100": 0.25055,
+    "map_at_1000": 0.25225,
+    "map_at_3": 0.21594,
+    "map_at_5": 0.22813,
+    "mrr_at_1": 0.26107,
+    "mrr_at_10": 0.31983,
+    "mrr_at_100": 0.32773,
+    "mrr_at_1000": 0.32864,
+    "mrr_at_3": 0.30145,
+    "mrr_at_5": 0.31148,
+    "ndcg_at_1": 0.26107,
+    "ndcg_at_10": 0.28675,
+    "ndcg_at_100": 0.33977,
+    "ndcg_at_1000": 0.38014,
+    "ndcg_at_3": 0.25581,
+    "ndcg_at_5": 0.26701,
+    "precision_at_1": 0.26107,
+    "precision_at_10": 0.06262,
+    "precision_at_100": 0.01061,
+    "precision_at_1000": 0.0016,
+    "precision_at_3": 0.14404,
+    "precision_at_5": 0.10223,
+    "recall_at_1": 0.16722,
+    "recall_at_10": 0.35017,
+    "recall_at_100": 0.57938,
+    "recall_at_1000": 0.8636,
+    "recall_at_3": 0.25176,
+    "recall_at_5": 0.29109
+  },
+  "mteb_dataset_name": "CmedqaRetrieval",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/Cmnli.json

@@ -0,0 +1,49 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "Cmnli",
+  "mteb_version": "1.1.1.dev0",
+  "validation": {
+    "cos_sim": {
+      "accuracy": 0.6992182802164763,
+      "accuracy_threshold": 0.9131839275360107,
+      "ap": 0.7818052754133149,
+      "f1": 0.7268312424119788,
+      "f1_threshold": 0.8896820545196533,
+      "precision": 0.6406277866952024,
+      "recall": 0.839841010053776
+    },
+    "dot": {
+      "accuracy": 0.682501503307276,
+      "accuracy_threshold": 782.92724609375,
+      "ap": 0.7682398009516549,
+      "f1": 0.7143704289385253,
+      "f1_threshold": 757.307861328125,
+      "precision": 0.6187296695771272,
+      "recall": 0.8449848024316109
+    },
+    "euclidean": {
+      "accuracy": 0.6986169573060733,
+      "accuracy_threshold": 11.942947387695312,
+      "ap": 0.7816462841949386,
+      "f1": 0.7278070531009324,
+      "f1_threshold": 13.729618072509766,
+      "precision": 0.6422822393131818,
+      "recall": 0.839607201309329
+    },
+    "evaluation_time": 35.43,
+    "manhattan": {
+      "accuracy": 0.6976548406494287,
+      "accuracy_threshold": 304.1970520019531,
+      "ap": 0.7800362740011941,
+      "f1": 0.7258270344556789,
+      "f1_threshold": 355.74713134765625,
+      "precision": 0.6255499153976312,
+      "recall": 0.8643909282207155
+    },
+    "max": {
+      "accuracy": 0.6992182802164763,
+      "ap": 0.7818052754133149,
+      "f1": 0.7278070531009324
+    }
+  }
+}

results/multilingual-e5-large/CovidRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 1516.96,
+    "map_at_1": 0.63646,
+    "map_at_10": 0.71702,
+    "map_at_100": 0.72167,
+    "map_at_1000": 0.72177,
+    "map_at_3": 0.69758,
+    "map_at_5": 0.71075,
+    "mrr_at_1": 0.63857,
+    "mrr_at_10": 0.71767,
+    "mrr_at_100": 0.72222,
+    "mrr_at_1000": 0.72232,
+    "mrr_at_3": 0.69898,
+    "mrr_at_5": 0.71178,
+    "ndcg_at_1": 0.63751,
+    "ndcg_at_10": 0.75511,
+    "ndcg_at_100": 0.77655,
+    "ndcg_at_1000": 0.77935,
+    "ndcg_at_3": 0.71738,
+    "ndcg_at_5": 0.74069,
+    "precision_at_1": 0.63751,
+    "precision_at_10": 0.0882,
+    "precision_at_100": 0.00981,
+    "precision_at_1000": 0.001,
+    "precision_at_3": 0.25922,
+    "precision_at_5": 0.16712,
+    "recall_at_1": 0.63646,
+    "recall_at_10": 0.87302,
+    "recall_at_100": 0.9705,
+    "recall_at_1000": 0.99262,
+    "recall_at_3": 0.77371,
+    "recall_at_5": 0.82929
+  },
+  "mteb_dataset_name": "CovidRetrieval",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/DuRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 1455.2,
+    "map_at_1": 0.25325,
+    "map_at_10": 0.77463,
+    "map_at_100": 0.80241,
+    "map_at_1000": 0.80293,
+    "map_at_3": 0.53178,
+    "map_at_5": 0.67405,
+    "mrr_at_1": 0.8825,
+    "mrr_at_10": 0.91869,
+    "mrr_at_100": 0.91967,
+    "mrr_at_1000": 0.91969,
+    "mrr_at_3": 0.915,
+    "mrr_at_5": 0.91702,
+    "ndcg_at_1": 0.8825,
+    "ndcg_at_10": 0.85315,
+    "ndcg_at_100": 0.88361,
+    "ndcg_at_1000": 0.88807,
+    "ndcg_at_3": 0.83433,
+    "ndcg_at_5": 0.82617,
+    "precision_at_1": 0.8825,
+    "precision_at_10": 0.4098,
+    "precision_at_100": 0.04753,
+    "precision_at_1000": 0.00487,
+    "precision_at_3": 0.74683,
+    "precision_at_5": 0.6344,
+    "recall_at_1": 0.25325,
+    "recall_at_10": 0.86993,
+    "recall_at_100": 0.9687,
+    "recall_at_1000": 0.99048,
+    "recall_at_3": 0.55495,
+    "recall_at_5": 0.7236
+  },
+  "mteb_dataset_name": "DuRetrieval",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/EcomRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 197.55,
+    "map_at_1": 0.406,
+    "map_at_10": 0.49863,
+    "map_at_100": 0.50623,
+    "map_at_1000": 0.50659,
+    "map_at_3": 0.4745,
+    "map_at_5": 0.48765,
+    "mrr_at_1": 0.406,
+    "mrr_at_10": 0.49863,
+    "mrr_at_100": 0.50623,
+    "mrr_at_1000": 0.50659,
+    "mrr_at_3": 0.4745,
+    "mrr_at_5": 0.48765,
+    "ndcg_at_1": 0.406,
+    "ndcg_at_10": 0.54752,
+    "ndcg_at_100": 0.58413,
+    "ndcg_at_1000": 0.59405,
+    "ndcg_at_3": 0.4972,
+    "ndcg_at_5": 0.52078,
+    "precision_at_1": 0.406,
+    "precision_at_10": 0.0703,
+    "precision_at_100": 0.00873,
+    "precision_at_1000": 0.00095,
+    "precision_at_3": 0.18767,
+    "precision_at_5": 0.124,
+    "recall_at_1": 0.406,
+    "recall_at_10": 0.703,
+    "recall_at_100": 0.873,
+    "recall_at_1000": 0.952,
+    "recall_at_3": 0.563,
+    "recall_at_5": 0.62
+  },
+  "mteb_dataset_name": "EcomRetrieval",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/IFlyTek.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "IFlyTek",
+  "mteb_version": "1.1.1.dev0",
+  "validation": {
+    "accuracy": 0.45471335128895723,
+    "accuracy_stderr": 0.006300727815454779,
+    "evaluation_time": 667.02,
+    "f1": 0.36107188100754545,
+    "f1_stderr": 0.0068309298994353,
+    "main_score": 0.45471335128895723
+  }
+}

results/multilingual-e5-large/JDReview.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "JDReview",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "accuracy": 0.8099437148217635,
+    "accuracy_stderr": 0.012218191486052491,
+    "ap": 0.4421880721936421,
+    "ap_stderr": 0.018723857756824166,
+    "evaluation_time": 35.29,
+    "f1": 0.7461897753963085,
+    "f1_stderr": 0.011752315951514757,
+    "main_score": 0.8099437148217635
+  }
+}

results/multilingual-e5-large/LCQMC.json

@@ -0,0 +1,20 @@
+{
+  "dataset_revision": null,
+  "mteb_dataset_name": "LCQMC",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
+    "cos_sim": {
+      "pearson": 0.7018418429994273,
+      "spearman": 0.7594509514272902
+    },
+    "euclidean": {
+      "pearson": 0.7498739410411632,
+      "spearman": 0.7591583040424544
+    },
+    "evaluation_time": 27.05,
+    "manhattan": {
+      "pearson": 0.7491074257202046,
+      "spearman": 0.7584743518217304
+    }
+  }
+}

results/multilingual-e5-large/MMarcoReranking.json

@@ -0,0 +1,10 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 1026.96,
+    "map": 0.21342936474912233,
+    "mrr": 0.19907539682539682
+  },
+  "mteb_dataset_name": "MMarcoReranking",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/MMarcoRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 585.71,
+    "map_at_1": 0.66655,
+    "map_at_10": 0.75578,
+    "map_at_100": 0.75903,
+    "map_at_1000": 0.75912,
+    "map_at_3": 0.737,
+    "map_at_5": 0.74947,
+    "mrr_at_1": 0.68868,
+    "mrr_at_10": 0.76123,
+    "mrr_at_100": 0.76405,
+    "mrr_at_1000": 0.76414,
+    "mrr_at_3": 0.74487,
+    "mrr_at_5": 0.75565,
+    "ndcg_at_1": 0.68868,
+    "ndcg_at_10": 0.792,
+    "ndcg_at_100": 0.80636,
+    "ndcg_at_1000": 0.80902,
+    "ndcg_at_3": 0.75674,
+    "ndcg_at_5": 0.77778,
+    "precision_at_1": 0.68868,
+    "precision_at_10": 0.09547,
+    "precision_at_100": 0.01026,
+    "precision_at_1000": 0.00105,
+    "precision_at_3": 0.284,
+    "precision_at_5": 0.18146,
+    "recall_at_1": 0.66655,
+    "recall_at_10": 0.89808,
+    "recall_at_100": 0.96277,
+    "recall_at_1000": 0.98397,
+    "recall_at_3": 0.80562,
+    "recall_at_5": 0.85574
+  },
+  "mteb_dataset_name": "MMarcoRetrieval",
+  "mteb_version": "1.1.1.dev0"
+}

results/multilingual-e5-large/MedicalRetrieval.json

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": null,
+  "dev": {
+    "evaluation_time": 614.02,
+    "map_at_1": 0.436,
+    "map_at_10": 0.48871,
+    "map_at_100": 0.49256,
+    "map_at_1000": 0.49311,
+    "map_at_3": 0.47667,
+    "map_at_5": 0.48337,
+    "mrr_at_1": 0.437,
+    "mrr_at_10": 0.48921,
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+}

results/multilingual-e5-large/MultilingualSentiment.json

@@ -0,0 +1,13 @@
+{
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+}

results/multilingual-e5-large/Ocnli.json

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+}

results/multilingual-e5-large/OnlineShopping.json

@@ -0,0 +1,15 @@
+{
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+}

results/multilingual-e5-large/PAWSX.json

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+{
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+}

results/multilingual-e5-large/QBQTC.json

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+}

results/multilingual-e5-large/STSB.json

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+{
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+}

results/multilingual-e5-large/T2Reranking.json

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+{
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+}

results/multilingual-e5-large/T2Retrieval.json

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+{
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+  "mteb_dataset_name": "T2Retrieval",
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+}

results/multilingual-e5-large/TNews.json

@@ -0,0 +1,13 @@
+{
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+}

results/multilingual-e5-large/ThuNewsClusteringP2P.json

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+{
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+}

results/multilingual-e5-large/ThuNewsClusteringS2S.json

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+{
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+}

results/multilingual-e5-large/VideoRetrieval.json

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+  "mteb_dataset_name": "VideoRetrieval",
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+}

results/multilingual-e5-large/Waimai.json

@@ -0,0 +1,15 @@
+{
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+}

results/multilingual-e5-small/AFQMC.json

@@ -0,0 +1,20 @@
+{
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+  "mteb_dataset_name": "AFQMC",
+  "mteb_version": "1.1.1.dev0",
+  "test": {
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+      "spearman": NaN
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+    "euclidean": {
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+      "spearman": NaN
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+    "evaluation_time": 2.42,
+    "manhattan": {
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+      "spearman": NaN
+    }
+  }
+}

results/multilingual-e5-small/ATEC.json

@@ -0,0 +1,20 @@
+{
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+}

results/multilingual-e5-small/BQ.json

@@ -0,0 +1,20 @@
+{
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+}

results/multilingual-e5-small/CLSClusteringP2P.json

@@ -0,0 +1,10 @@
+{
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+}

results/multilingual-e5-small/CLSClusteringS2S.json

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+{
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+}

results/multilingual-e5-small/CMedQAv1.json

@@ -0,0 +1,10 @@
+{
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+}

results/multilingual-e5-small/CMedQAv2.json

@@ -0,0 +1,10 @@
+{
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+}

results/multilingual-e5-small/CmedqaRetrieval.json

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+  "mteb_dataset_name": "CmedqaRetrieval",
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+}