fix metrics (#49)

load_external.py

@@ -169,7 +169,10 @@ def parse_readme(model_info: ModelInfo) -> dict[str, dict[str, Any]] | None:
             "languages": mteb_task_eval_languages if isinstance(mteb_task_eval_languages, list) else mteb_task_eval_languages.get(current_config, ["None"]),
         }
         for metric in result["metrics"]:
-            cur_split_metrics[metric["type"]] = metric["value"]
+            if isinstance(metric["value"], (float, int)):
+                cur_split_metrics[metric["type"]] = metric["value"] / 100
+            else:
+                cur_split_metrics[metric["type"]] = metric["value"]
 
         main_score_str = "main_score"
         if main_score_str not in cur_split_metrics:
@@ -198,7 +201,7 @@ def get_mteb_data() -> None:
         model_path = get_model_dir(model_info.id)
         if (model_path / "model_meta.json").exists() and len(list(model_path.glob("*.json"))) > 1:
             logger.info(f"Model meta already exists for {model_info.id}")
-            continue
+            # continue
         if model_info.id.lower().endswith("gguf"):
             logger.info(f"Skipping {model_info.id} GGUF model")
             continue

results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/STS17.json

@@ -10,13 +10,13 @@
                 "languages": [
                     "ara-Arab"
                 ],
-                "cosine_pearson": 84.5661961200634,
-                "cosine_spearman": 85.04839486363485,
-                "euclidean_pearson": 83.06651812356505,
-                "euclidean_spearman": 84.64285835335832,
-                "main_score": 85.04839486363485,
-                "manhattan_pearson": 83.12273085900199,
-                "manhattan_spearman": 84.51258675131285
+                "cosine_pearson": 0.845661961200634,
+                "cosine_spearman": 0.8504839486363486,
+                "euclidean_pearson": 0.8306651812356505,
+                "euclidean_spearman": 0.8464285835335832,
+                "main_score": 0.8504839486363486,
+                "manhattan_pearson": 0.8312273085900199,
+                "manhattan_spearman": 0.8451258675131286
             }
         ]
     }

results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/STS17.json

@@ -10,13 +10,13 @@
                 "languages": [
                     "ara-Arab"
                 ],
-                "cosine_pearson": 84.4552565985224,
-                "cosine_spearman": 84.95895784502326,
-                "euclidean_pearson": 82.78929391924628,
-                "euclidean_spearman": 84.30172209203968,
-                "main_score": 84.95895784502326,
-                "manhattan_pearson": 82.8787314198733,
-                "manhattan_spearman": 84.31971710672602
+                "cosine_pearson": 0.844552565985224,
+                "cosine_spearman": 0.8495895784502326,
+                "euclidean_pearson": 0.8278929391924628,
+                "euclidean_spearman": 0.8430172209203968,
+                "main_score": 0.8495895784502326,
+                "manhattan_pearson": 0.8287873141987331,
+                "manhattan_spearman": 0.8431971710672602
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/AlloProfClusteringP2P.json

@@ -10,7 +10,7 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "v_measure": 63.99706100543374,
+                "v_measure": 0.6399706100543374,
                 "v_measures": [
                     0.6309250305032879,
                     0.6712141669904825,
@@ -1013,14 +1013,14 @@
                     0.6312400213373579,
                     0.6765111319025582
                 ],
-                "main_score": 63.99706100543374
+                "main_score": 0.6399706100543374
             },
             {
                 "hf_subset": "default",
                 "languages": [
                     "fra-Latn"
                 ],
-                "v_measure": 29.932569372425572,
+                "v_measure": 0.2993256937242557,
                 "v_measures": [
                     0.27074628475701645,
                     0.3138981270131547,
@@ -2023,7 +2023,7 @@
                     0.2655556969048289,
                     0.2624750092062693
                 ],
-                "main_score": 29.932569372425572
+                "main_score": 0.2993256937242557
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/AlloprofReranking.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "map": 37.09270648443667,
-                "mrr": 37.65235627929929,
-                "main_score": 37.09270648443667
+                "map": 0.37092706484436666,
+                "mrr": 0.3765235627929929,
+                "main_score": 0.37092706484436666
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/AmazonReviewsClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 35.071999999999996,
-                "f1": 34.756733638269665,
+                "accuracy": 0.35072,
+                "f1": 0.34756733638269666,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.3344,
@@ -4014,7 +4014,7 @@
                         "f1": 0.3516757627896389
                     }
                 ],
-                "main_score": 35.071999999999996
+                "main_score": 0.35072
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/BSARDRetrieval.json

@@ -10,42 +10,42 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "map_at_1": 0.901,
-                "map_at_10": 1.6150000000000002,
-                "map_at_100": 2.046,
-                "map_at_1000": 2.147,
-                "map_at_20": 1.8030000000000002,
-                "map_at_3": 1.126,
-                "map_at_5": 1.486,
-                "mrr_at_1": 0.901,
-                "mrr_at_10": 1.6150000000000002,
-                "mrr_at_100": 2.046,
-                "mrr_at_1000": 2.147,
-                "mrr_at_20": 1.8030000000000002,
-                "mrr_at_3": 1.126,
-                "mrr_at_5": 1.486,
-                "ndcg_at_1": 0.901,
-                "ndcg_at_10": 2.182,
-                "ndcg_at_100": 4.926,
-                "ndcg_at_1000": 7.825,
-                "ndcg_at_20": 2.8649999999999998,
-                "ndcg_at_3": 1.185,
-                "ndcg_at_5": 1.882,
-                "precision_at_1": 0.901,
-                "precision_at_10": 0.40499999999999997,
-                "precision_at_100": 0.185,
-                "precision_at_1000": 0.042,
-                "precision_at_20": 0.338,
-                "precision_at_3": 0.44999999999999996,
-                "precision_at_5": 0.631,
-                "recall_at_1": 0.901,
-                "recall_at_10": 4.054,
-                "recall_at_100": 18.468,
-                "recall_at_1000": 41.892,
-                "recall_at_20": 6.757000000000001,
-                "recall_at_3": 1.351,
-                "recall_at_5": 3.1530000000000005,
-                "main_score": 18.468
+                "map_at_1": 0.00901,
+                "map_at_10": 0.01615,
+                "map_at_100": 0.02046,
+                "map_at_1000": 0.02147,
+                "map_at_20": 0.01803,
+                "map_at_3": 0.01126,
+                "map_at_5": 0.01486,
+                "mrr_at_1": 0.00901,
+                "mrr_at_10": 0.01615,
+                "mrr_at_100": 0.02046,
+                "mrr_at_1000": 0.02147,
+                "mrr_at_20": 0.01803,
+                "mrr_at_3": 0.01126,
+                "mrr_at_5": 0.01486,
+                "ndcg_at_1": 0.00901,
+                "ndcg_at_10": 0.02182,
+                "ndcg_at_100": 0.04926,
+                "ndcg_at_1000": 0.07825,
+                "ndcg_at_20": 0.02865,
+                "ndcg_at_3": 0.011850000000000001,
+                "ndcg_at_5": 0.01882,
+                "precision_at_1": 0.00901,
+                "precision_at_10": 0.00405,
+                "precision_at_100": 0.00185,
+                "precision_at_1000": 0.00042,
+                "precision_at_20": 0.00338,
+                "precision_at_3": 0.0045,
+                "precision_at_5": 0.00631,
+                "recall_at_1": 0.00901,
+                "recall_at_10": 0.04054,
+                "recall_at_100": 0.18468,
+                "recall_at_1000": 0.41892,
+                "recall_at_20": 0.06757,
+                "recall_at_3": 0.01351,
+                "recall_at_5": 0.03153,
+                "main_score": 0.18468
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/HALClusteringS2S.json

@@ -10,7 +10,7 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "v_measure": 20.821362086725557,
+                "v_measure": 0.20821362086725556,
                 "v_measures": [
                     0.22505579417192464,
                     0.18718591610641097,
@@ -1013,7 +1013,7 @@
                     0.20352917236688817,
                     0.2491962641585171
                 ],
-                "main_score": 20.821362086725557
+                "main_score": 0.20821362086725556
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MLSUMClusteringP2P.json

@@ -10,7 +10,7 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "v_measure": 45.2570658673633,
+                "v_measure": 0.452570658673633,
                 "v_measures": [
                     0.4329487970215975,
                     0.45820580504076386,
@@ -1013,14 +1013,14 @@
                     0.44613674850966567,
                     0.43952701472303013
                 ],
-                "main_score": 45.2570658673633
+                "main_score": 0.452570658673633
             },
             {
                 "hf_subset": "fr",
                 "languages": [
                     "fra-Latn"
                 ],
-                "v_measure": 44.94685216731792,
+                "v_measure": 0.4494685216731792,
                 "v_measures": [
                     0.4451988218629661,
                     0.44546586627639506,
@@ -2023,7 +2023,7 @@
                     0.4562406688345804,
                     0.43126055742654296
                 ],
-                "main_score": 44.94685216731792
+                "main_score": 0.4494685216731792
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MTOPDomainClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 75.69996868149076,
-                "f1": 75.40911375049545,
+                "accuracy": 0.7569996868149076,
+                "f1": 0.7540911375049545,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.7788913247729408,
@@ -4014,7 +4014,7 @@
                         "f1": 0.7570027586618345
                     }
                 ],
-                "main_score": 75.69996868149076
+                "main_score": 0.7569996868149076
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MTOPIntentClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 63.75822110867524,
-                "f1": 42.22367596410695,
+                "accuracy": 0.6375822110867524,
+                "f1": 0.42223675964106955,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.6623864704040088,
@@ -4014,7 +4014,7 @@
                         "f1": 0.41098404682577316
                     }
                 ],
-                "main_score": 63.75822110867524
+                "main_score": 0.6375822110867524
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MasakhaNEWSClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "eng-Latn"
                 ],
-                "accuracy": 77.91139240506328,
-                "f1": 77.05013060581847,
+                "accuracy": 0.7791139240506328,
+                "f1": 0.7705013060581847,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.8037974683544303,
@@ -4014,15 +4014,15 @@
                         "f1": 0.8019194870291454
                     }
                 ],
-                "main_score": 77.91139240506328
+                "main_score": 0.7791139240506328
             },
             {
                 "hf_subset": "fra",
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 75.9952606635071,
-                "f1": 72.14436891647776,
+                "accuracy": 0.7599526066350709,
+                "f1": 0.7214436891647776,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.7890995260663507,
@@ -8025,7 +8025,7 @@
                         "f1": 0.6562022376789257
                     }
                 ],
-                "main_score": 75.9952606635071
+                "main_score": 0.7599526066350709
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MassiveIntentClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 56.028917283120386,
-                "f1": 52.65339345173721,
+                "accuracy": 0.5602891728312038,
+                "f1": 0.5265339345173721,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.5531271015467384,
@@ -4014,7 +4014,7 @@
                         "f1": 0.5358281437791133
                     }
                 ],
-                "main_score": 56.028917283120386
+                "main_score": 0.5602891728312038
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MassiveScenarioClassification.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 59.297242770679226,
-                "f1": 57.613317912056885,
+                "accuracy": 0.5929724277067923,
+                "f1": 0.5761331791205688,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.5938130464021519,
@@ -4014,7 +4014,7 @@
                         "f1": 0.583012423695179
                     }
                 ],
-                "main_score": 59.297242770679226
+                "main_score": 0.5929724277067923
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MintakaRetrieval.json

@@ -10,42 +10,42 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "map_at_1": 0.737,
-                "map_at_10": 1.248,
-                "map_at_100": 1.5350000000000001,
-                "map_at_1000": 1.727,
-                "map_at_20": 1.3259999999999998,
-                "map_at_3": 0.9690000000000001,
-                "map_at_5": 1.1119999999999999,
-                "mrr_at_1": 0.737,
-                "mrr_at_10": 1.248,
-                "mrr_at_100": 1.5350000000000001,
-                "mrr_at_1000": 1.727,
-                "mrr_at_20": 1.3259999999999998,
-                "mrr_at_3": 0.9690000000000001,
-                "mrr_at_5": 1.1119999999999999,
-                "ndcg_at_1": 0.737,
-                "ndcg_at_10": 1.66,
-                "ndcg_at_100": 3.581,
-                "ndcg_at_1000": 11.177,
-                "ndcg_at_20": 1.941,
-                "ndcg_at_3": 1.0659999999999998,
-                "ndcg_at_5": 1.3299999999999998,
-                "precision_at_1": 0.737,
-                "precision_at_10": 0.303,
-                "precision_at_100": 0.132,
-                "precision_at_1000": 0.079,
-                "precision_at_20": 0.207,
-                "precision_at_3": 0.44999999999999996,
-                "precision_at_5": 0.40099999999999997,
-                "recall_at_1": 0.737,
-                "recall_at_10": 3.0300000000000002,
-                "recall_at_100": 13.227,
-                "recall_at_1000": 78.501,
-                "recall_at_20": 4.136,
-                "recall_at_3": 1.351,
-                "recall_at_5": 2.007,
-                "main_score": 1.66
+                "map_at_1": 0.00737,
+                "map_at_10": 0.01248,
+                "map_at_100": 0.01535,
+                "map_at_1000": 0.01727,
+                "map_at_20": 0.01326,
+                "map_at_3": 0.00969,
+                "map_at_5": 0.011119999999999998,
+                "mrr_at_1": 0.00737,
+                "mrr_at_10": 0.01248,
+                "mrr_at_100": 0.01535,
+                "mrr_at_1000": 0.01727,
+                "mrr_at_20": 0.01326,
+                "mrr_at_3": 0.00969,
+                "mrr_at_5": 0.011119999999999998,
+                "ndcg_at_1": 0.00737,
+                "ndcg_at_10": 0.0166,
+                "ndcg_at_100": 0.03581,
+                "ndcg_at_1000": 0.11177,
+                "ndcg_at_20": 0.01941,
+                "ndcg_at_3": 0.010659999999999998,
+                "ndcg_at_5": 0.0133,
+                "precision_at_1": 0.00737,
+                "precision_at_10": 0.0030299999999999997,
+                "precision_at_100": 0.00132,
+                "precision_at_1000": 0.00079,
+                "precision_at_20": 0.00207,
+                "precision_at_3": 0.0045,
+                "precision_at_5": 0.00401,
+                "recall_at_1": 0.00737,
+                "recall_at_10": 0.030300000000000004,
+                "recall_at_100": 0.13227,
+                "recall_at_1000": 0.7850100000000001,
+                "recall_at_20": 0.04136,
+                "recall_at_3": 0.01351,
+                "recall_at_5": 0.02007,
+                "main_score": 0.0166
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/MovieReviewSentimentClassification.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "accuracy": 81.71875,
-                "ap": 75.47842425736047,
-                "f1": 81.5713940370767,
+                "accuracy": 0.8171875,
+                "ap": 0.7547842425736048,
+                "f1": 0.815713940370767,
                 "scores_per_experiment": [
                     {
                         "accuracy": 0.83837890625,
@@ -5015,7 +5015,7 @@
                         "f1": 0.8421628921596114
                     }
                 ],
-                "main_score": 81.71875
+                "main_score": 0.8171875
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/OpusparcusPC.json

@@ -10,30 +10,30 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "cos_sim_accuracy": 99.90069513406156,
-                "cos_sim_ap": 100.0,
-                "cos_sim_f1": 99.95032290114257,
-                "cos_sim_precision": 100.0,
-                "cos_sim_recall": 99.90069513406156,
-                "dot_accuracy": 99.90069513406156,
-                "dot_ap": 100.0,
-                "dot_f1": 99.95032290114257,
-                "dot_precision": 100.0,
-                "dot_recall": 99.90069513406156,
-                "euclidean_accuracy": 99.90069513406156,
-                "euclidean_ap": 100.0,
-                "euclidean_f1": 99.95032290114257,
-                "euclidean_precision": 100.0,
-                "euclidean_recall": 99.90069513406156,
-                "manhattan_accuracy": 99.90069513406156,
-                "manhattan_ap": 100.0,
-                "manhattan_f1": 99.95032290114257,
-                "manhattan_precision": 100.0,
-                "manhattan_recall": 99.90069513406156,
-                "max_accuracy": 99.90069513406156,
-                "max_ap": 100.0,
-                "max_f1": 99.95032290114257,
-                "main_score": 100.0
+                "cos_sim_accuracy": 0.9990069513406157,
+                "cos_sim_ap": 1.0,
+                "cos_sim_f1": 0.9995032290114257,
+                "cos_sim_precision": 1.0,
+                "cos_sim_recall": 0.9990069513406157,
+                "dot_accuracy": 0.9990069513406157,
+                "dot_ap": 1.0,
+                "dot_f1": 0.9995032290114257,
+                "dot_precision": 1.0,
+                "dot_recall": 0.9990069513406157,
+                "euclidean_accuracy": 0.9990069513406157,
+                "euclidean_ap": 1.0,
+                "euclidean_f1": 0.9995032290114257,
+                "euclidean_precision": 1.0,
+                "euclidean_recall": 0.9990069513406157,
+                "manhattan_accuracy": 0.9990069513406157,
+                "manhattan_ap": 1.0,
+                "manhattan_f1": 0.9995032290114257,
+                "manhattan_precision": 1.0,
+                "manhattan_recall": 0.9990069513406157,
+                "max_accuracy": 0.9990069513406157,
+                "max_ap": 1.0,
+                "max_f1": 0.9995032290114257,
+                "main_score": 1.0
             }
         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/SICKFr.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "fra-Latn"
                 ],
-                "cos_sim_pearson": 60.96413420799593,
-                "cos_sim_spearman": 58.18262720076686,
-                "euclidean_pearson": 58.78305606004982,
-                "euclidean_spearman": 57.51277670943302,
-                "manhattan_pearson": 60.23979598152332,
-                "manhattan_spearman": 59.03365066514682,
-                "cosine_pearson": 60.96413420799593,
-                "cosine_spearman": 58.18262720076686,
-                "main_score": 58.18262720076686
+                "cos_sim_pearson": 0.6096413420799593,
+                "cos_sim_spearman": 0.5818262720076686,
+                "euclidean_pearson": 0.5878305606004982,
+                "euclidean_spearman": 0.5751277670943302,
+                "manhattan_pearson": 0.6023979598152333,
+                "manhattan_spearman": 0.5903365066514682,
+                "cosine_pearson": 0.6096413420799593,
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results/AdrienB134__llm2vec-occiglot-mntp/external/STS22.json

@@ -10,15 +10,15 @@
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                     "fra-Latn"
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results/AdrienB134__llm2vec-occiglot-mntp/external/STSBenchmarkMultilingualSTS.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "fra-Latn"
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     }

results/AdrienB134__llm2vec-occiglot-mntp/external/SummEvalFr.json

@@ -10,13 +10,13 @@
                 "languages": [
                     "fra-Latn"
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results/AdrienB134__llm2vec-occiglot-mntp/external/SyntecReranking.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "fra-Latn"
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results/AdrienB134__llm2vec-occiglot-mntp/external/SyntecRetrieval.json

@@ -10,42 +10,42 @@
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                     "fra-Latn"
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         ]
     }

results/AdrienB134__llm2vec-occiglot-mntp/external/XPQARetrieval.json

@@ -10,42 +10,42 @@
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                     "None"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/AFQMC.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/ATEC.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/AmazonCounterfactualClassification.json

@@ -10,10 +10,10 @@
                 "languages": [
                     "eng-Latn"
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         ]
     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/AmazonPolarityClassification.json

@@ -10,10 +10,10 @@
                 "languages": [
                     "eng-Latn"
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     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/AmazonReviewsClassification.json

@@ -10,18 +10,18 @@
                 "languages": [
                     "eng-Latn"
                 ],
-                "accuracy": 62.168,
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             {
                 "hf_subset": "zh",
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/ArguAna.json

@@ -10,37 +10,37 @@
                 "languages": [
                     "eng-Latn"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/ArxivClusteringP2P.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "eng-Latn"
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         ]
     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/ArxivClusteringS2S.json

@@ -10,8 +10,8 @@
                 "languages": [
                     "eng-Latn"
                 ],
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         ]
     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/AskUbuntuDupQuestions.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "eng-Latn"
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     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/BIOSSES.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "eng-Latn"
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         ]
     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/BQ.json

@@ -10,15 +10,15 @@
                 "languages": [
                     "cmn-Hans"
                 ],
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+                "cos_sim_spearman": 0.7759153258548018,
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         ]
     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/Banking77Classification.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "eng-Latn"
                 ],
-                "accuracy": 81.67857142857142,
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/BiorxivClusteringP2P.json

@@ -10,8 +10,8 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/BiorxivClusteringS2S.json

@@ -10,8 +10,8 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/CLSClusteringP2P.json

@@ -10,8 +10,8 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/CLSClusteringS2S.json

@@ -10,8 +10,8 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/CQADupstackAndroidRetrieval.json

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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/ClimateFEVER.json

@@ -10,37 +10,37 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/CmedqaRetrieval.json

@@ -10,37 +10,37 @@
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/Cmnli.json

@@ -10,30 +10,30 @@
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                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/CovidRetrieval.json

@@ -10,37 +10,37 @@
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                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/DBPedia.json

@@ -10,37 +10,37 @@
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                     "eng-Latn"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/DuRetrieval.json

@@ -10,37 +10,37 @@
                 "languages": [
                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/EcomRetrieval.json

@@ -10,37 +10,37 @@
                 "languages": [
                     "cmn-Hans"
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results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/EmotionClassification.json

@@ -10,9 +10,9 @@
                 "languages": [
                     "eng-Latn"
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     }

results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/external/FEVER.json

@@ -10,37 +10,37 @@
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                     "eng-Latn"
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