fetch more results (#97)

load_external.py

@@ -68,14 +68,17 @@ def get_model_parameters_memory(model_info: ModelInfo) -> tuple[int| None, float
     return None, None
 
 
-def get_dim_seq_size(model: ModelInfo) -> tuple[str | None, str | None, int, float]:
+def get_dim_seq_size(model: ModelInfo) -> tuple[str | None, str | None, int, float, str | None]:
     siblings = model.siblings or []
     filenames = [sib.rfilename for sib in siblings]
     dim, seq = None, None
+    similarity_fn_name = None
     for filename in filenames:
         if re.match(r"\d+_Pooling/config.json", filename):
             st_config_path = hf_hub_download(model.id, filename=filename)
-            dim = json.load(open(st_config_path)).get("word_embedding_dimension", None)
+            with open(st_config_path) as f:
+                pooling_config = json.load(f)
+            dim = pooling_config.get("word_embedding_dimension", None)
             break
     for filename in filenames:
         if re.match(r"\d+_Dense/config.json", filename):
@@ -87,17 +90,21 @@ def get_dim_seq_size(model: ModelInfo) -> tuple[str | None, str | None, int, flo
         if not dim:
             dim = config.get("hidden_dim", config.get("hidden_size", config.get("d_model", None)))
         seq = config.get("n_positions", config.get("max_position_embeddings", config.get("n_ctx", config.get("seq_length", None))))
-
+    if "config_sentence_transformers.json" in filenames:
+        st_config_path = hf_hub_download(model.id, filename="config_sentence_transformers.json")
+        with open(st_config_path) as f:
+            st_config = json.load(f)
+        similarity_fn_name = st_config.get("similarity_fn_name", None)
     parameters, memory = get_model_parameters_memory(model)
-    return dim, seq, parameters, memory
+    return dim, seq, parameters, memory, similarity_fn_name
 
 
 def create_model_meta(model_info: ModelInfo) -> ModelMeta | None:
     readme_path = hf_hub_download(model_info.id, filename="README.md", etag_timeout=30)
     meta = metadata_load(readme_path)
-    dim, seq, parameters, memory = None, None, None, None
+    dim, seq, parameters, memory, similarity_fn_name = None, None, None, None, None
     try:
-        dim, seq, parameters, memory = get_dim_seq_size(model_info)
+        dim, seq, parameters, memory, similarity_fn_name = get_dim_seq_size(model_info)
     except Exception as e:
         logger.error(f"Error getting model parameters for {model_info.id}, {e}")
 
@@ -110,7 +117,12 @@ def create_model_meta(model_info: ModelInfo) -> ModelMeta | None:
     for i in range(len(languages)):
         if languages[i] is False:
             languages[i] = "no"
-
+    datasets = meta.get("datasets", None)
+    if datasets is not None:
+        datasets = {
+            d: []
+            for d in datasets
+        }
     model_meta = ModelMeta(
         name=model_info.id,
         revision=model_info.sha,
@@ -122,6 +134,11 @@ def create_model_meta(model_info: ModelInfo) -> ModelMeta | None:
         max_tokens=seq,
         n_parameters=parameters,
         languages=languages,
+        public_training_code=None,
+        public_training_data=None,
+        similarity_fn_name=similarity_fn_name,
+        use_instructions=None,
+        training_datasets=datasets,
     )
     return model_meta
 
@@ -139,14 +156,7 @@ def parse_readme(model_info: ModelInfo) -> dict[str, dict[str, Any]] | None:
         return
     model_index = meta["model-index"][0]
     model_name_from_readme = model_index.get("name", None)
-    orgs = ["Alibaba-NLP", "HIT-TMG", "McGill-NLP", "Snowflake", "facebook", "jinaai", "nomic-ai"]
-    is_org = any([model_id.startswith(org) for org in orgs])
-    # There a lot of reuploads with tunes, quantization, etc. We only want the original model
-    # to prevent this most of the time we can check if the model name from the readme is the same as the model id
-    # but some orgs have a different naming in their readme
-    if model_name_from_readme and not model_info.id.endswith(model_name_from_readme) and not is_org:
-        logger.warning(f"Model name mismatch: {model_info.id} vs {model_name_from_readme}")
-        return
+
     results = model_index.get("results", [])
     model_results = {}
     for result in results:

results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/model_meta.json

@@ -5,18 +5,19 @@
     "languages": [],
     "loader": null,
     "n_parameters": 135193344,
-    "memory_usage": null,
-    "max_tokens": 512,
+    "max_tokens": 512.0,
     "embed_dim": 768,
     "license": null,
     "open_weights": true,
-    "public_training_data": null,
     "public_training_code": null,
+    "public_training_data": null,
     "framework": [
         "Sentence Transformers"
     ],
     "reference": null,
     "similarity_fn_name": null,
     "use_instructions": null,
-    "zero_shot_benchmarks": null
+    "training_datasets": {},
+    "adapted_from": null,
+    "superseded_by": null
 }

results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/model_meta.json

@@ -5,18 +5,19 @@
     "languages": [],
     "loader": null,
     "n_parameters": 135193344,
-    "memory_usage": null,
-    "max_tokens": 512,
+    "max_tokens": 512.0,
     "embed_dim": 768,
     "license": null,
     "open_weights": true,
-    "public_training_data": null,
     "public_training_code": null,
+    "public_training_data": null,
     "framework": [
         "Sentence Transformers"
     ],
     "reference": null,
     "similarity_fn_name": null,
     "use_instructions": null,
-    "zero_shot_benchmarks": null
+    "training_datasets": {},
+    "adapted_from": null,
+    "superseded_by": null
 }

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

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "392ba3f5bcc8c51f578786c1fc3dae648662cb9b",
+    "task_name": "AlloProfClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "v_measure": 0.6234594305243399,
+                "main_score": 0.6234594305243399
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/AlloProfClusteringS2S.json

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "392ba3f5bcc8c51f578786c1fc3dae648662cb9b",
+    "task_name": "AlloProfClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "v_measure": 0.2572945498452115,
+                "main_score": 0.2572945498452115
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "65393d0d7a08a10b4e348135e824f385d420b0fd",
+    "task_name": "AlloprofReranking",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "map": 0.26596323297349184,
+                "mrr": 0.26091629657044163,
+                "main_score": 0.26596323297349184
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/AlloprofRetrieval.json

@@ -0,0 +1,52 @@
+{
+    "dataset_revision": "fcf295ea64c750f41fadbaa37b9b861558e1bfbd",
+    "task_name": "AlloprofRetrieval",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "map_at_1": 0.00345,
+                "map_at_10": 0.00934,
+                "map_at_100": 0.01191,
+                "map_at_1000": 0.013419999999999998,
+                "map_at_20": 0.0102,
+                "map_at_3": 0.006689999999999999,
+                "map_at_5": 0.00753,
+                "mrr_at_1": 0.00345,
+                "mrr_at_10": 0.00934,
+                "mrr_at_100": 0.01191,
+                "mrr_at_1000": 0.013419999999999998,
+                "mrr_at_20": 0.0102,
+                "mrr_at_3": 0.006689999999999999,
+                "mrr_at_5": 0.00753,
+                "ndcg_at_1": 0.00345,
+                "ndcg_at_10": 0.013839999999999998,
+                "ndcg_at_100": 0.03151,
+                "ndcg_at_1000": 0.09014,
+                "ndcg_at_20": 0.01692,
+                "ndcg_at_3": 0.00785,
+                "ndcg_at_5": 0.00941,
+                "precision_at_1": 0.00345,
+                "precision_at_10": 0.00289,
+                "precision_at_100": 0.00124,
+                "precision_at_1000": 0.00063,
+                "precision_at_20": 0.00205,
+                "precision_at_3": 0.00374,
+                "precision_at_5": 0.00302,
+                "recall_at_1": 0.00345,
+                "recall_at_10": 0.02893,
+                "recall_at_100": 0.12435,
+                "recall_at_1000": 0.62867,
+                "recall_at_20": 0.04102,
+                "recall_at_3": 0.01123,
+                "recall_at_5": 0.015110000000000002,
+                "main_score": 0.013839999999999998
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "1399c76144fd37290681b995c656ef9b2e06e26d",
+    "task_name": "AmazonReviewsClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.32661999999999997,
+                "f1": 0.32443152253731844,
+                "main_score": 0.32661999999999997
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,52 @@
+{
+    "dataset_revision": "5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59",
+    "task_name": "BSARDRetrieval",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "map_at_1": 0.0,
+                "map_at_10": 0.0,
+                "map_at_100": 0.00062,
+                "map_at_1000": 0.00077,
+                "map_at_20": 0.0,
+                "map_at_3": 0.0,
+                "map_at_5": 0.0,
+                "mrr_at_1": 0.0,
+                "mrr_at_10": 0.0,
+                "mrr_at_100": 0.00062,
+                "mrr_at_1000": 0.00077,
+                "mrr_at_20": 0.0,
+                "mrr_at_3": 0.0,
+                "mrr_at_5": 0.0,
+                "ndcg_at_1": 0.0,
+                "ndcg_at_10": 0.0,
+                "ndcg_at_100": 0.00484,
+                "ndcg_at_1000": 0.01054,
+                "ndcg_at_20": 0.0,
+                "ndcg_at_3": 0.0,
+                "ndcg_at_5": 0.0,
+                "precision_at_1": 0.0,
+                "precision_at_10": 0.0,
+                "precision_at_100": 0.00027,
+                "precision_at_1000": 8e-05,
+                "precision_at_20": 0.0,
+                "precision_at_3": 0.0,
+                "precision_at_5": 0.0,
+                "recall_at_1": 0.0,
+                "recall_at_10": 0.0,
+                "recall_at_100": 0.02703,
+                "recall_at_1000": 0.07658,
+                "recall_at_20": 0.0,
+                "recall_at_3": 0.0,
+                "recall_at_5": 0.0,
+                "main_score": 0.02703
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "e06ebbbb123f8144bef1a5d18796f3dec9ae2915",
+    "task_name": "HALClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "fra-Latn"
+                ],
+                "v_measure": 0.1377084465510841,
+                "main_score": 0.1377084465510841
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7",
+    "task_name": "MLSUMClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "v_measure": 0.4543375637260015,
+                "main_score": 0.4543375637260015
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/MLSUMClusteringS2S.json

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7",
+    "task_name": "MLSUMClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "v_measure": 0.45205646487969753,
+                "main_score": 0.45205646487969753
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf",
+    "task_name": "MTOPDomainClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.7342937676166614,
+                "f1": 0.7265861284500563,
+                "main_score": 0.7342937676166614
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba",
+    "task_name": "MTOPIntentClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.5854368932038836,
+                "f1": 0.37519854475970954,
+                "main_score": 0.5854368932038836
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "18193f187b92da67168c655c9973a165ed9593dd",
+    "task_name": "MasakhaNEWSClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.7556872037914693,
+                "f1": 0.7199185345982795,
+                "main_score": 0.7556872037914693
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/MasakhaNEWSClusteringP2P.json

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60",
+    "task_name": "MasakhaNEWSClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "v_measure": 0.3820382948117535,
+                "main_score": 0.3820382948117535
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/MasakhaNEWSClusteringS2S.json

@@ -0,0 +1,18 @@
+{
+    "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60",
+    "task_name": "MasakhaNEWSClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "v_measure": 0.26943825642352115,
+                "main_score": 0.26943825642352115
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
+    "task_name": "MassiveIntentClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.5020847343644924,
+                "f1": 0.47322817683806856,
+                "main_score": 0.5020847343644924
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
+    "task_name": "MassiveScenarioClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "accuracy": 0.5257565568258238,
+                "f1": 0.5095953249242335,
+                "main_score": 0.5257565568258238
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,52 @@
+{
+    "dataset_revision": "efa78cc2f74bbcd21eff2261f9e13aebe40b814e",
+    "task_name": "MintakaRetrieval",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "map_at_1": 0.00164,
+                "map_at_10": 0.00584,
+                "map_at_100": 0.00824,
+                "map_at_1000": 0.00977,
+                "map_at_20": 0.006669999999999999,
+                "map_at_3": 0.00403,
+                "map_at_5": 0.00476,
+                "mrr_at_1": 0.00164,
+                "mrr_at_10": 0.00584,
+                "mrr_at_100": 0.00824,
+                "mrr_at_1000": 0.00977,
+                "mrr_at_20": 0.006669999999999999,
+                "mrr_at_3": 0.00403,
+                "mrr_at_5": 0.00476,
+                "ndcg_at_1": 0.00164,
+                "ndcg_at_10": 0.00867,
+                "ndcg_at_100": 0.02443,
+                "ndcg_at_1000": 0.08671,
+                "ndcg_at_20": 0.01176,
+                "ndcg_at_3": 0.00478,
+                "ndcg_at_5": 0.00612,
+                "precision_at_1": 0.00164,
+                "precision_at_10": 0.0018,
+                "precision_at_100": 0.00102,
+                "precision_at_1000": 0.00064,
+                "precision_at_20": 0.0015199999999999999,
+                "precision_at_3": 0.00232,
+                "precision_at_5": 0.00205,
+                "recall_at_1": 0.00164,
+                "recall_at_10": 0.01802,
+                "recall_at_100": 0.10156000000000001,
+                "recall_at_1000": 0.6420999999999999,
+                "recall_at_20": 0.030300000000000004,
+                "recall_at_3": 0.006959999999999999,
+                "recall_at_5": 0.01024,
+                "main_score": 0.00867
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,40 @@
+{
+    "dataset_revision": "9e9b1f8ef51616073f47f306f7f47dd91663f86a",
+    "task_name": "OpusparcusPC",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "fra-Latn",
+                "languages": [
+                    "None"
+                ],
+                "cos_sim_accuracy": 0.7343324250681199,
+                "cos_sim_ap": 0.8603577758642086,
+                "cos_sim_f1": 0.821602478972997,
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+}

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

@@ -0,0 +1,25 @@
+{
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+    "mteb_version": null,
+    "scores": {
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+                "main_score": 0.5333151992866751
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+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/STS22.json

@@ -0,0 +1,25 @@
+{
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+    "task_name": "STS22",
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+                "main_score": 0.6029016180301653
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+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/STSBenchmarkMultilingualSTS.json

@@ -0,0 +1,25 @@
+{
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+    "task_name": "STSBenchmarkMultilingualSTS",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
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+                "main_score": 0.4954059034135741
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+    }
+}

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

@@ -0,0 +1,23 @@
+{
+    "dataset_revision": "b385812de6a9577b6f4d0f88c6a6e35395a94054",
+    "task_name": "SummEvalFr",
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+    "mteb_version": null,
+    "scores": {
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+                "main_score": 0.29615000554218956
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+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/SyntecReranking.json

@@ -0,0 +1,19 @@
+{
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+    "task_name": "SyntecReranking",
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+    "mteb_version": null,
+    "scores": {
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+}

results/AdrienB134__llm2vec-croissant-mntp/external/SyntecRetrieval.json

@@ -0,0 +1,52 @@
+{
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+    "task_name": "SyntecRetrieval",
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+    "mteb_version": null,
+    "scores": {
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+                "recall_at_3": 0.07,
+                "recall_at_5": 0.1,
+                "main_score": 0.10941
+            }
+        ]
+    }
+}

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

@@ -0,0 +1,52 @@
+{
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+    "task_name": "XPQARetrieval",
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+    "mteb_version": null,
+    "scores": {
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+                "precision_at_10": 0.03698,
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+                "precision_at_1000": 0.0018,
+                "precision_at_20": 0.021629999999999996,
+                "precision_at_3": 0.08367,
+                "precision_at_5": 0.05928,
+                "recall_at_1": 0.09437,
+                "recall_at_10": 0.2016,
+                "recall_at_100": 0.38527,
+                "recall_at_1000": 0.85102,
+                "recall_at_20": 0.23632,
+                "recall_at_3": 0.14562,
+                "recall_at_5": 0.168,
+                "main_score": 0.16447
+            }
+        ]
+    }
+}

results/AdrienB134__llm2vec-croissant-mntp/external/model_meta.json

@@ -0,0 +1,36 @@
+{
+    "name": "AdrienB134/llm2vec-croissant-mntp",
+    "revision": "36d9180216ca362269b297c060af8c8b55e1c67a",
+    "release_date": "2024-05-14",
+    "languages": [
+        "fr"
+    ],
+    "loader": null,
+    "n_parameters": 1279887360,
+    "max_tokens": 2048.0,
+    "embed_dim": 2048,
+    "license": "mit",
+    "open_weights": true,
+    "public_training_code": null,
+    "public_training_data": null,
+    "framework": [],
+    "reference": null,
+    "similarity_fn_name": null,
+    "use_instructions": null,
+    "training_datasets": {
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+        "s": [],
+        "i": [],
+        "/": [],
+        "w": [],
+        "k": [],
+        "t": [],
+        "e": [],
+        "x": [],
+        "_": [],
+        "f": [],
+        "r": []
+    },
+    "adapted_from": null,
+    "superseded_by": null
+}

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

@@ -7,16 +7,17 @@
     ],
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     "n_parameters": null,
-    "memory_usage": null,
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     "license": "apache-2.0",
     "open_weights": true,
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     "framework": [],
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     "similarity_fn_name": null,
     "use_instructions": null,
-    "zero_shot_benchmarks": null
+    "training_datasets": null,
+    "adapted_from": null,
+    "superseded_by": null
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/AFQMC.json

@@ -1,20 +1,25 @@
 {
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+    "mteb_version": null,
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     }
-  }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/ATEC.json

@@ -1,20 +1,25 @@
 {
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+                "cosine_spearman": 0.5403230997664373,
+                "main_score": 0.5403230997664373
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+        ]
     }
-  }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/AmazonCounterfactualClassification.json

@@ -1,17 +1,20 @@
 {
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+    "mteb_version": null,
+    "scores": {
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+                "main_score": 0.7255223880597015
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+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/AmazonPolarityClassification.json

@@ -1,15 +1,20 @@
 {
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+    "task_name": "AmazonPolarityClassification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
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+                "main_score": 0.9675819999999998
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/AmazonReviewsClassification.json

@@ -1,22 +1,28 @@
 {
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+    "mteb_version": null,
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+                "main_score": 0.5349
+            }
+        ]
     }
-  }
-}
+}

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/ArguAna.json

@@ -1,38 +1,47 @@
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-    "recall_at_1000": 0.99502,
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+    "mteb_version": null,
+    "scores": {
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+                "languages": [
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+                "map_at_100": 0.5334,
+                "map_at_1000": 0.53343,
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+                "map_at_5": 0.50882,
+                "mrr_at_1": 0.36984,
+                "mrr_at_10": 0.53052,
+                "mrr_at_100": 0.53604,
+                "mrr_at_1000": 0.53607,
+                "mrr_at_3": 0.48613,
+                "mrr_at_5": 0.51159,
+                "ndcg_at_1": 0.36272999999999994,
+                "ndcg_at_10": 0.61524,
+                "ndcg_at_100": 0.63796,
+                "ndcg_at_1000": 0.63869,
+                "ndcg_at_3": 0.52456,
+                "ndcg_at_5": 0.56964,
+                "precision_at_1": 0.36272999999999994,
+                "precision_at_10": 0.08926,
+                "precision_at_100": 0.00989,
+                "precision_at_1000": 0.001,
+                "precision_at_3": 0.21407999999999996,
+                "precision_at_5": 0.1505,
+                "recall_at_1": 0.36272999999999994,
+                "recall_at_10": 0.8926,
+                "recall_at_100": 0.98933,
+                "recall_at_1000": 0.9950199999999999,
+                "recall_at_3": 0.64225,
+                "recall_at_5": 0.75249,
+                "main_score": 0.61524
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/ArxivClusteringP2P.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d",
-  "mteb_dataset_name": "ArxivClusteringP2P",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "main_score": 0.5245236368396085,
-    "v_measure": 0.5245236368396085,
-    "v_measure_std": 0.1429438326872563
-  }
+    "dataset_revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d",
+    "task_name": "ArxivClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "v_measure": 0.5245236368396085,
+                "main_score": 0.5245236368396085
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/ArxivClusteringS2S.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53",
-  "mteb_dataset_name": "ArxivClusteringS2S",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "main_score": 0.4683781937870832,
-    "v_measure": 0.4683781937870832,
-    "v_measure_std": 0.14511845126583253
-  }
+    "dataset_revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53",
+    "task_name": "ArxivClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "v_measure": 0.4683781937870832,
+                "main_score": 0.4683781937870832
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/AskUbuntuDupQuestions.json

@@ -1,10 +1,19 @@
 {
-  "dataset_revision": "2000358ca161889fa9c082cb41daa8dcfb161a54",
-  "mteb_dataset_name": "AskUbuntuDupQuestions",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "map": 0.6065343034985174,
-    "mrr": 0.7428736314470388
-  }
+    "dataset_revision": "2000358ca161889fa9c082cb41daa8dcfb161a54",
+    "task_name": "AskUbuntuDupQuestions",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "map": 0.6065343034985174,
+                "mrr": 0.7428736314470388,
+                "main_score": 0.6065343034985174
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/BIOSSES.json

@@ -1,20 +1,25 @@
 {
-  "dataset_revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a",
-  "mteb_dataset_name": "BIOSSES",
-  "mteb_version": "1.2.0",
-  "test": {
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-      "spearman": 0.8647666922475281
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-      "spearman": 0.8647666922475281
-    },
-    "evaluation_time": 1.07,
-    "manhattan": {
-      "pearson": 0.8704960508086356,
-      "spearman": 0.8673992823533615
+    "dataset_revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a",
+    "task_name": "BIOSSES",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "cos_sim_pearson": 0.8918568151905952,
+                "cos_sim_spearman": 0.8647666922475281,
+                "euclidean_pearson": 0.8725416218056224,
+                "euclidean_spearman": 0.8647666922475281,
+                "manhattan_pearson": 0.8704960508086356,
+                "manhattan_spearman": 0.8673992823533615,
+                "cosine_pearson": 0.8918568151905952,
+                "cosine_spearman": 0.8647666922475281,
+                "main_score": 0.8647666922475281
+            }
+        ]
     }
-  }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/BQ.json

@@ -1,20 +1,25 @@
 {
-  "dataset_revision": "e3dda5e115e487b39ec7e618c0c6a29137052a55",
-  "mteb_dataset_name": "BQ",
-  "mteb_version": "1.2.0",
-  "test": {
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-      "spearman": 0.7771894224189296
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-    },
-    "evaluation_time": 158.17,
-    "manhattan": {
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-      "spearman": 0.7763293552726073
+    "dataset_revision": "e3dda5e115e487b39ec7e618c0c6a29137052a55",
+    "task_name": "BQ",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "cmn-Hans"
+                ],
+                "cos_sim_pearson": 0.757464284612374,
+                "cos_sim_spearman": 0.7771894224189296,
+                "euclidean_pearson": 0.7763454068918787,
+                "euclidean_spearman": 0.7771894224189296,
+                "manhattan_pearson": 0.7758744810404339,
+                "manhattan_spearman": 0.7763293552726073,
+                "cosine_pearson": 0.757464284612374,
+                "cosine_spearman": 0.7771894224189296,
+                "main_score": 0.7771894224189296
+            }
+        ]
     }
-  }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/Banking77Classification.json

@@ -1,13 +1,19 @@
 {
-  "dataset_revision": "0fd18e25b25c072e09e0d92ab615fda904d66300",
-  "mteb_dataset_name": "Banking77Classification",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "accuracy_stderr": 0.005948296512864717,
-    "evaluation_time": 19.94,
-    "f1": 0.7944078343737895,
-    "f1_stderr": 0.006678814397416114,
-    "main_score": 0.802435064935065
-  }
+    "dataset_revision": "0fd18e25b25c072e09e0d92ab615fda904d66300",
+    "task_name": "Banking77Classification",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "accuracy": 0.802435064935065,
+                "f1": 0.7944078343737896,
+                "main_score": 0.802435064935065
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/BiorxivClusteringP2P.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40",
-  "mteb_dataset_name": "BiorxivClusteringP2P",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "main_score": 0.4468220155432257,
-    "v_measure": 0.4468220155432257,
-    "v_measure_std": 0.004965476632818699
-  }
+    "dataset_revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40",
+    "task_name": "BiorxivClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "v_measure": 0.44682201554322565,
+                "main_score": 0.44682201554322565
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/BiorxivClusteringS2S.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908",
-  "mteb_dataset_name": "BiorxivClusteringS2S",
-  "mteb_version": "1.2.0",
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-    "main_score": 0.4066615047758928,
-    "v_measure": 0.4066615047758928,
-    "v_measure_std": 0.007444166329804369
-  }
+    "dataset_revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908",
+    "task_name": "BiorxivClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "v_measure": 0.40666150477589286,
+                "main_score": 0.40666150477589286
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CLSClusteringP2P.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "4b6227591c6c1a73bc76b1055f3b7f3588e72476",
-  "mteb_dataset_name": "CLSClusteringP2P",
-  "mteb_version": "1.2.0",
-  "test": {
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-    "main_score": 0.4423533333311907,
-    "v_measure": 0.4423533333311907,
-    "v_measure_std": 0.01450085544451251
-  }
+    "dataset_revision": "4b6227591c6c1a73bc76b1055f3b7f3588e72476",
+    "task_name": "CLSClusteringP2P",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "cmn-Hans"
+                ],
+                "v_measure": 0.4423533333311907,
+                "main_score": 0.4423533333311907
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CLSClusteringS2S.json

@@ -1,11 +1,18 @@
 {
-  "dataset_revision": "e458b3f5414b62b7f9f83499ac1f5497ae2e869f",
-  "mteb_dataset_name": "CLSClusteringS2S",
-  "mteb_version": "1.2.0",
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-    "main_score": 0.4301114481307774,
-    "v_measure": 0.4301114481307774,
-    "v_measure_std": 0.009239015371510288
-  }
+    "dataset_revision": "e458b3f5414b62b7f9f83499ac1f5497ae2e869f",
+    "task_name": "CLSClusteringS2S",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "cmn-Hans"
+                ],
+                "v_measure": 0.4301114481307774,
+                "main_score": 0.4301114481307774
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CMedQAv1-reranking.json

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "8d7f1e942507dac42dc58017c1a001c3717da7df",
+    "task_name": "CMedQAv1-reranking",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "cmn-Hans"
+                ],
+                "map": 0.864349853821696,
+                "mrr": 0.8880150793650795,
+                "main_score": 0.864349853821696
+            }
+        ]
+    }
+}

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CMedQAv2-reranking.json

@@ -0,0 +1,19 @@
+{
+    "dataset_revision": "23d186750531a14a0357ca22cd92d712fd512ea0",
+    "task_name": "CMedQAv2-reranking",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "cmn-Hans"
+                ],
+                "map": 0.8756417400982208,
+                "mrr": 0.8985813492063491,
+                "main_score": 0.8756417400982208
+            }
+        ]
+    }
+}

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CQADupstackAndroidRetrieval.json

@@ -1,38 +1,47 @@
 {
-  "dataset_revision": "f46a197baaae43b4f621051089b82a364682dfeb",
-  "mteb_dataset_name": "CQADupstackAndroidRetrieval",
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-    "mrr_at_5": 0.45145,
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-    "recall_at_10": 0.56771,
-    "recall_at_100": 0.80034,
-    "recall_at_1000": 0.94629,
-    "recall_at_3": 0.44663,
-    "recall_at_5": 0.48692
-  }
+    "dataset_revision": "f46a197baaae43b4f621051089b82a364682dfeb",
+    "task_name": "CQADupstackAndroidRetrieval",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
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+                "map_at_100": 0.41997,
+                "map_at_1000": 0.42135,
+                "map_at_3": 0.37754,
+                "map_at_5": 0.39031,
+                "mrr_at_1": 0.37482,
+                "mrr_at_10": 0.46311,
+                "mrr_at_100": 0.47212,
+                "mrr_at_1000": 0.4727,
+                "mrr_at_3": 0.4415799999999999,
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+                "ndcg_at_5": 0.43485,
+                "precision_at_1": 0.37482,
+                "precision_at_10": 0.08455,
+                "precision_at_100": 0.01378,
+                "precision_at_1000": 0.00188,
+                "precision_at_3": 0.20172,
+                "precision_at_5": 0.13705,
+                "recall_at_1": 0.30623,
+                "recall_at_10": 0.56771,
+                "recall_at_100": 0.80034,
+                "recall_at_1000": 0.9462899999999999,
+                "recall_at_3": 0.44663,
+                "recall_at_5": 0.48692,
+                "main_score": 0.46142000000000005
+            }
+        ]
+    }
 }

results/Alibaba-NLP__gme-Qwen2-VL-2B-Instruct/external/CQADupstackEnglishRetrieval.json

@@ -1,38 +1,47 @@
 {
-  "dataset_revision": "ad9991cb51e31e31e430383c75ffb2885547b5f0",
-  "mteb_dataset_name": "CQADupstackEnglishRetrieval",
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-    "precision_at_100": 0.01338,
-    "precision_at_1000": 0.00182,
-    "precision_at_3": 0.19363,
-    "precision_at_5": 0.13898,
-    "recall_at_1": 0.27941,
-    "recall_at_10": 0.55336,
-    "recall_at_100": 0.73511,
-    "recall_at_1000": 0.86636,
-    "recall_at_3": 0.4254,
-    "recall_at_5": 0.48392
-  }
+    "dataset_revision": "ad9991cb51e31e31e430383c75ffb2885547b5f0",
+    "task_name": "CQADupstackEnglishRetrieval",
+    "evaluation_time": null,
+    "mteb_version": null,
+    "scores": {
+        "test": [
+            {
+                "hf_subset": "default",
+                "languages": [
+                    "eng-Latn"
+                ],
+                "map_at_1": 0.27941,
+                "map_at_10": 0.38437,
+                "map_at_100": 0.39625,
+                "map_at_1000": 0.39753,
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+                "mrr_at_1": 0.3452200000000001,
+                "mrr_at_10": 0.43864999999999993,
+                "mrr_at_100": 0.44533,
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+                "ndcg_at_5": 0.42016,
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+                "precision_at_10": 0.08471000000000001,
+                "precision_at_100": 0.013379999999999998,
+                "precision_at_1000": 0.00182,
+                "precision_at_3": 0.19363,
+                "precision_at_5": 0.13898,
+                "recall_at_1": 0.27941,
+                "recall_at_10": 0.55336,
+                "recall_at_100": 0.7351100000000002,
+                "recall_at_1000": 0.8663599999999999,
+                "recall_at_3": 0.4254,
+                "recall_at_5": 0.48392,
+                "main_score": 0.4433
+            }
+        ]
+    }
 }