add mteb(cmn, v1) results for Yuan-embedding-2.0-zh (#331)

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/AFQMC.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "b44c3b011063adb25877c13823db83bb193913c4",
+  "task_name": "AFQMC",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "validation": [
+      {
+        "pearson": 0.54573,
+        "spearman": 0.591488,
+        "cosine_pearson": 0.54573,
+        "cosine_spearman": 0.591489,
+        "manhattan_pearson": 0.574105,
+        "manhattan_spearman": 0.588813,
+        "euclidean_pearson": 0.574134,
+        "euclidean_spearman": 0.588771,
+        "main_score": 0.591489,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 8.201199293136597,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/ATEC.json

@@ -0,0 +1,43 @@
+{
+  "dataset_revision": "0f319b1142f28d00e055a6770f3f726ae9b7d865",
+  "task_name": "ATEC",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "validation": [
+      {
+        "pearson": 0.545132,
+        "spearman": 0.585309,
+        "cosine_pearson": 0.545132,
+        "cosine_spearman": 0.585309,
+        "manhattan_pearson": 0.609279,
+        "manhattan_spearman": 0.584148,
+        "euclidean_pearson": 0.609179,
+        "euclidean_spearman": 0.584124,
+        "main_score": 0.585309,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ],
+    "test": [
+      {
+        "pearson": 0.544074,
+        "spearman": 0.578837,
+        "cosine_pearson": 0.544074,
+        "cosine_spearman": 0.578837,
+        "manhattan_pearson": 0.609856,
+        "manhattan_spearman": 0.577283,
+        "euclidean_pearson": 0.610094,
+        "euclidean_spearman": 0.577453,
+        "main_score": 0.578837,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 74.17974972724915,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/BQ.json

@@ -0,0 +1,43 @@
+{
+  "dataset_revision": "e3dda5e115e487b39ec7e618c0c6a29137052a55",
+  "task_name": "BQ",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "validation": [
+      {
+        "pearson": 0.740143,
+        "spearman": 0.76048,
+        "cosine_pearson": 0.740143,
+        "cosine_spearman": 0.76048,
+        "manhattan_pearson": 0.743434,
+        "manhattan_spearman": 0.758588,
+        "euclidean_pearson": 0.743552,
+        "euclidean_spearman": 0.758663,
+        "main_score": 0.76048,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ],
+    "test": [
+      {
+        "pearson": 0.704504,
+        "spearman": 0.725748,
+        "cosine_pearson": 0.704504,
+        "cosine_spearman": 0.725748,
+        "manhattan_pearson": 0.709359,
+        "manhattan_spearman": 0.725806,
+        "euclidean_pearson": 0.709604,
+        "euclidean_spearman": 0.726036,
+        "main_score": 0.725748,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 34.74188542366028,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CLSClusteringP2P.json

@@ -0,0 +1,32 @@
+{
+  "dataset_revision": "4b6227591c6c1a73bc76b1055f3b7f3588e72476",
+  "task_name": "CLSClusteringP2P",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "test": [
+      {
+        "v_measure": 0.552898,
+        "v_measure_std": 0.013949,
+        "v_measures": [
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+          0.552319,
+          0.546534,
+          0.538296,
+          0.551816,
+          0.570237,
+          0.558812,
+          0.584599,
+          0.541297,
+          0.543125
+        ],
+        "main_score": 0.552898,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 807.7578976154327,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CLSClusteringS2S.json

@@ -0,0 +1,32 @@
+{
+  "dataset_revision": "e458b3f5414b62b7f9f83499ac1f5497ae2e869f",
+  "task_name": "CLSClusteringS2S",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "test": [
+      {
+        "v_measure": 0.466856,
+        "v_measure_std": 0.014805,
+        "v_measures": [
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+          0.467299,
+          0.467425,
+          0.478087,
+          0.464727,
+          0.48495,
+          0.466125,
+          0.442152,
+          0.488159,
+          0.468587
+        ],
+        "main_score": 0.466856,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 118.4618821144104,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CMedQAv1-reranking.json

@@ -0,0 +1,166 @@
+{
+  "dataset_revision": "f77f0345c9b6ac0a2447a3a71483d5b27393cb35",
+  "task_name": "CMedQAv1-reranking",
+  "mteb_version": "2.1.17",
+  "scores": {
+    "test": [
+      {
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+        "ndcg_at_3": 0.92769,
+        "ndcg_at_5": 0.94057,
+        "ndcg_at_10": 0.94654,
+        "ndcg_at_20": 0.94836,
+        "ndcg_at_100": 0.94914,
+        "ndcg_at_1000": 0.94914,
+        "map_at_1": 0.65634,
+        "map_at_3": 0.86428,
+        "map_at_5": 0.90671,
+        "map_at_10": 0.92328,
+        "map_at_20": 0.92527,
+        "map_at_100": 0.92556,
+        "map_at_1000": 0.92556,
+        "recall_at_1": 0.65634,
+        "recall_at_3": 0.90439,
+        "recall_at_5": 0.96502,
+        "recall_at_10": 0.99074,
+        "recall_at_20": 0.99728,
+        "recall_at_100": 1.0,
+        "recall_at_1000": 1.0,
+        "accuracy": 0.65634,
+        "precision_at_1": 0.903,
+        "precision_at_3": 0.50933,
+        "precision_at_5": 0.3502,
+        "precision_at_10": 0.1887,
+        "precision_at_20": 0.09595,
+        "precision_at_100": 0.01931,
+        "precision_at_1000": 0.00193,
+        "mrr_at_1": 0.903,
+        "mrr_at_3": 0.936667,
+        "mrr_at_5": 0.939967,
+        "mrr_at_10": 0.940752,
+        "mrr_at_20": 0.941074,
+        "mrr_at_100": 0.941086,
+        "mrr_at_1000": 0.941086,
+        "nauc_ndcg_at_1_max": 0.544991,
+        "nauc_ndcg_at_1_std": 0.190202,
+        "nauc_ndcg_at_1_diff1": 0.674035,
+        "nauc_ndcg_at_3_max": 0.503796,
+        "nauc_ndcg_at_3_std": 0.107063,
+        "nauc_ndcg_at_3_diff1": 0.601108,
+        "nauc_ndcg_at_5_max": 0.498186,
+        "nauc_ndcg_at_5_std": 0.108185,
+        "nauc_ndcg_at_5_diff1": 0.62563,
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+        "nauc_recall_at_20_diff1": 0.854746,
+        "nauc_recall_at_100_max": NaN,
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+        "nauc_recall_at_100_diff1": NaN,
+        "nauc_recall_at_1000_max": NaN,
+        "nauc_recall_at_1000_std": NaN,
+        "nauc_recall_at_1000_diff1": NaN,
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+        "cv_recall_at_10": 0.995,
+        "cv_recall_at_20": 0.999,
+        "cv_recall_at_100": 1.0,
+        "cv_recall_at_1000": 1.0,
+        "main_score": 0.92556,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 458.89892172813416,
+  "kg_co2_emissions": null
+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CMedQAv2-reranking.json

@@ -0,0 +1,166 @@
+{
+  "dataset_revision": "01399b6956a4c6bf9edc5b6b90e176aeeb399686",
+  "task_name": "CMedQAv2-reranking",
+  "mteb_version": "2.1.17",
+  "scores": {
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+        "ndcg_at_5": 0.95675,
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+        "recall_at_20": 0.99943,
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+        "nauc_recall_at_100_max": NaN,
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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CmedqaRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/Cmnli.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/CovidRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/DuRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/EcomRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/IFlyTek.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/JDReview.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/LCQMC.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/MMarcoReranking.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/MMarcoRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/MedicalRetrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/MultilingualSentiment.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/Ocnli.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/OnlineShopping.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/PAWSX.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/QBQTC.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/STSB.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/T2Reranking.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/T2Retrieval.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/TNews.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/ThuNewsClusteringP2P.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/ThuNewsClusteringS2S.json

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results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/VideoRetrieval.json

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+}

results/IEITYuan__Yuan-embedding-2.0-zh/b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee/model_meta.json

@@ -0,0 +1 @@
+{"loader_kwargs": {}, "name": "IEITYuan/Yuan-embedding-2.0-zh", "revision": "b5ebcace6f4fc6e5a4d1852557eb2dc2d1040cee", "release_date": "2025-11-24", "languages": ["zho-Hans"], "n_parameters": 326000000, "memory_usage_mb": 1242, "max_tokens": 512.0, "embed_dim": 1792, "license": "apache-2.0", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/IEITYuan/Yuan-embedding-2.0-zh", "similarity_fn_name": "cosine", "use_instructions": false, "training_datasets": ["T2Retrieval", "DuRetrieval", "T2Reranking", "CMedQAv2-reranking", "MMarcoReranking"], "adapted_from": null, "superseded_by": null, "modalities": ["text"], "is_cross_encoder": null, "citation": null, "contacts": null, "loader": "sentence_transformers_loader"}