Add FaMTEB (Farsi/Persian Text Embedding Benchmark) (#92)

* Add FaMTEB results for new models

* Add FaMTEB results for existing models

* Modify results.py and paths.json

* Fix bugs to pass tests

* Fix mteb version

* Resolve conflicts

* Update paths.json

* fix conflict

---------

Co-authored-by: mehran <[email protected]>

results.py

@@ -84,6 +84,7 @@ EVAL_LANGS = [
     "est-eng",
     "eus-eng",
     "fa",
+    "fas-Arab",
     "fao-eng",
     "fi",
     "fin-eng",
@@ -240,6 +241,7 @@ VALIDATION_SPLIT = [
     "LEMBSummScreenFDRetrieval",
     "MSMARCO",
     "MSMARCO-PL",
+    "MSMARCO-Fa",
     "MultilingualSentiment",
     "Ocnli",
     "TNews",
@@ -255,6 +257,7 @@ DEV_SPLIT = [
     "MMarcoRetrieval",
     "MSMARCO",
     "MSMARCO-PL",
+    "MSMARCO-Fa",
     "T2Reranking",
     "T2Retrieval",
     "VideoRetrieval",

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/ArguAna-Fa.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "bd449a14a4a7d5644ffd380a957c3c4bab83bf50",
+  "task_name": "ArguAna-Fa",
+  "mteb_version": "1.25.8",
+  "scores": {
+    "test": [
+      {
+        "ndcg_at_1": 0.25889,
+        "ndcg_at_3": 0.40073,
+        "ndcg_at_5": 0.45182,
+        "ndcg_at_10": 0.50397,
+        "ndcg_at_20": 0.53162,
+        "ndcg_at_100": 0.54813,
+        "ndcg_at_1000": 0.54977,
+        "map_at_1": 0.25889,
+        "map_at_3": 0.36463,
+        "map_at_5": 0.39322,
+        "map_at_10": 0.41484,
+        "map_at_20": 0.42251,
+        "map_at_100": 0.42505,
+        "map_at_1000": 0.42511,
+        "recall_at_1": 0.25889,
+        "recall_at_3": 0.50569,
+        "recall_at_5": 0.62873,
+        "recall_at_10": 0.78947,
+        "recall_at_20": 0.89829,
+        "recall_at_100": 0.98364,
+        "recall_at_1000": 0.99644,
+        "precision_at_1": 0.25889,
+        "precision_at_3": 0.16856,
+        "precision_at_5": 0.12575,
+        "precision_at_10": 0.07895,
+        "precision_at_20": 0.04491,
+        "precision_at_100": 0.00984,
+        "precision_at_1000": 0.001,
+        "mrr_at_1": 0.263158,
+        "mrr_at_3": 0.366761,
+        "mrr_at_5": 0.395033,
+        "mrr_at_10": 0.416376,
+        "mrr_at_20": 0.424144,
+        "mrr_at_100": 0.426716,
+        "mrr_at_1000": 0.42678,
+        "nauc_ndcg_at_1_max": 0.008706,
+        "nauc_ndcg_at_1_std": -0.035326,
+        "nauc_ndcg_at_1_diff1": 0.130705,
+        "nauc_ndcg_at_3_max": 0.031295,
+        "nauc_ndcg_at_3_std": -0.032176,
+        "nauc_ndcg_at_3_diff1": 0.079723,
+        "nauc_ndcg_at_5_max": 0.031441,
+        "nauc_ndcg_at_5_std": -0.02984,
+        "nauc_ndcg_at_5_diff1": 0.070577,
+        "nauc_ndcg_at_10_max": 0.040205,
+        "nauc_ndcg_at_10_std": -0.026616,
+        "nauc_ndcg_at_10_diff1": 0.070194,
+        "nauc_ndcg_at_20_max": 0.047201,
+        "nauc_ndcg_at_20_std": -0.022678,
+        "nauc_ndcg_at_20_diff1": 0.080201,
+        "nauc_ndcg_at_100_max": 0.040574,
+        "nauc_ndcg_at_100_std": -0.018592,
+        "nauc_ndcg_at_100_diff1": 0.08571,
+        "nauc_ndcg_at_1000_max": 0.036597,
+        "nauc_ndcg_at_1000_std": -0.022744,
+        "nauc_ndcg_at_1000_diff1": 0.084229,
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+        "nauc_map_at_1_diff1": 0.130705,
+        "nauc_map_at_3_max": 0.025991,
+        "nauc_map_at_3_std": -0.032148,
+        "nauc_map_at_3_diff1": 0.089708,
+        "nauc_map_at_5_max": 0.025958,
+        "nauc_map_at_5_std": -0.030882,
+        "nauc_map_at_5_diff1": 0.084998,
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+        "nauc_map_at_10_std": -0.029939,
+        "nauc_map_at_10_diff1": 0.08539,
+        "nauc_map_at_20_max": 0.030962,
+        "nauc_map_at_20_std": -0.028818,
+        "nauc_map_at_20_diff1": 0.088222,
+        "nauc_map_at_100_max": 0.030192,
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+        "nauc_map_at_100_diff1": 0.089145,
+        "nauc_map_at_1000_max": 0.030049,
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+        "nauc_map_at_1000_diff1": 0.089096,
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+        "nauc_recall_at_3_max": 0.046177,
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+        "nauc_recall_at_3_diff1": 0.052486,
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+        "nauc_recall_at_5_std": -0.026508,
+        "nauc_recall_at_5_diff1": 0.024514,
+        "nauc_recall_at_10_max": 0.097601,
+        "nauc_recall_at_10_std": -0.008275,
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+        "nauc_precision_at_10_std": -0.008275,
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+        "nauc_precision_at_1000_max": -0.021532,
+        "nauc_precision_at_1000_std": 0.627524,
+        "nauc_precision_at_1000_diff1": -0.371153,
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+        "nauc_mrr_at_1_diff1": 0.116596,
+        "nauc_mrr_at_3_max": 0.022974,
+        "nauc_mrr_at_3_std": -0.031969,
+        "nauc_mrr_at_3_diff1": 0.07646,
+        "nauc_mrr_at_5_max": 0.024801,
+        "nauc_mrr_at_5_std": -0.030518,
+        "nauc_mrr_at_5_diff1": 0.071892,
+        "nauc_mrr_at_10_max": 0.02759,
+        "nauc_mrr_at_10_std": -0.03,
+        "nauc_mrr_at_10_diff1": 0.071739,
+        "nauc_mrr_at_20_max": 0.029798,
+        "nauc_mrr_at_20_std": -0.028892,
+        "nauc_mrr_at_20_diff1": 0.07478,
+        "nauc_mrr_at_100_max": 0.0292,
+        "nauc_mrr_at_100_std": -0.028223,
+        "nauc_mrr_at_100_diff1": 0.075768,
+        "nauc_mrr_at_1000_max": 0.029057,
+        "nauc_mrr_at_1000_std": -0.028346,
+        "nauc_mrr_at_1000_diff1": 0.075717,
+        "main_score": 0.50397,
+        "hf_subset": "default",
+        "languages": [
+          "fas-Arab"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 46.31877279281616,
+  "kg_co2_emissions": null
+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/BeytooteClustering.json

@@ -0,0 +1,34 @@
+{
+  "dataset_revision": "62ca5aecb9414214162569f2f1bfb07aa219a70e",
+  "task_name": "BeytooteClustering",
+  "mteb_version": "1.25.8",
+  "scores": {
+    "test": [
+      {
+        "v_measures": {
+          "Level 0": [
+            0.549041,
+            0.615929,
+            0.640994,
+            0.660619,
+            0.654895,
+            0.627701,
+            0.617975,
+            0.636832,
+            0.58294,
+            0.665533
+          ]
+        },
+        "v_measure": 0.625246,
+        "v_measure_std": 0.034465,
+        "main_score": 0.625246,
+        "hf_subset": "default",
+        "languages": [
+          "fas-Arab"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 118.68936443328857,
+  "kg_co2_emissions": null
+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CExaPPC.json

@@ -0,0 +1,58 @@
+{
+  "dataset_revision": "68a0ff474739367a36c8066ee04802a65aefc117",
+  "task_name": "CExaPPC",
+  "mteb_version": "1.25.8",
+  "scores": {
+    "test": [
+      {
+        "similarity_accuracy": 0.949126,
+        "similarity_accuracy_threshold": 0.650263,
+        "similarity_f1": 0.936063,
+        "similarity_f1_threshold": 0.649996,
+        "similarity_precision": 0.927346,
+        "similarity_recall": 0.944946,
+        "similarity_ap": 0.984153,
+        "cosine_accuracy": 0.949126,
+        "cosine_accuracy_threshold": 0.650263,
+        "cosine_f1": 0.936063,
+        "cosine_f1_threshold": 0.649996,
+        "cosine_precision": 0.927346,
+        "cosine_recall": 0.944946,
+        "cosine_ap": 0.984153,
+        "manhattan_accuracy": 0.947645,
+        "manhattan_accuracy_threshold": 18.084282,
+        "manhattan_f1": 0.934722,
+        "manhattan_f1_threshold": 18.185123,
+        "manhattan_precision": 0.917632,
+        "manhattan_recall": 0.952461,
+        "manhattan_ap": 0.983664,
+        "euclidean_accuracy": 0.949126,
+        "euclidean_accuracy_threshold": 0.836346,
+        "euclidean_f1": 0.936063,
+        "euclidean_f1_threshold": 0.836665,
+        "euclidean_precision": 0.927346,
+        "euclidean_recall": 0.944946,
+        "euclidean_ap": 0.984153,
+        "dot_accuracy": 0.949126,
+        "dot_accuracy_threshold": 0.650263,
+        "dot_f1": 0.936063,
+        "dot_f1_threshold": 0.649996,
+        "dot_precision": 0.927346,
+        "dot_recall": 0.944946,
+        "dot_ap": 0.984153,
+        "max_accuracy": 0.949126,
+        "max_f1": 0.936063,
+        "max_precision": 0.927346,
+        "max_recall": 0.952461,
+        "max_ap": 0.984153,
+        "main_score": 0.984153,
+        "hf_subset": "default",
+        "languages": [
+          "fas-Arab"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 20.422319412231445,
+  "kg_co2_emissions": null
+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackAndroidRetrieval-Fa.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "1e828bfefc20aaf77b7c90d98f83cc3272f2ab9e",
+  "task_name": "CQADupstackAndroidRetrieval-Fa",
+  "mteb_version": "1.25.8",
+  "scores": {
+    "test": [
+      {
+        "ndcg_at_1": 0.24607,
+        "ndcg_at_3": 0.30339,
+        "ndcg_at_5": 0.32218,
+        "ndcg_at_10": 0.34334,
+        "ndcg_at_20": 0.36407,
+        "ndcg_at_100": 0.40223,
+        "ndcg_at_1000": 0.42944,
+        "map_at_1": 0.20135,
+        "map_at_3": 0.26476,
+        "map_at_5": 0.27906,
+        "map_at_10": 0.28966,
+        "map_at_20": 0.29633,
+        "map_at_100": 0.30238,
+        "map_at_1000": 0.30375,
+        "recall_at_1": 0.20135,
+        "recall_at_3": 0.33792,
+        "recall_at_5": 0.38667,
+        "recall_at_10": 0.45159,
+        "recall_at_20": 0.52829,
+        "recall_at_100": 0.71139,
+        "recall_at_1000": 0.89198,
+        "precision_at_1": 0.24607,
+        "precision_at_3": 0.14878,
+        "precision_at_5": 0.10815,
+        "precision_at_10": 0.06595,
+        "precision_at_20": 0.03963,
+        "precision_at_100": 0.01179,
+        "precision_at_1000": 0.00172,
+        "mrr_at_1": 0.246066,
+        "mrr_at_3": 0.315689,
+        "mrr_at_5": 0.329065,
+        "mrr_at_10": 0.338264,
+        "mrr_at_20": 0.344181,
+        "mrr_at_100": 0.348115,
+        "mrr_at_1000": 0.348694,
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+        "nauc_mrr_at_1000_diff1": 0.325776,
+        "main_score": 0.34334,
+        "hf_subset": "default",
+        "languages": [
+          "fas-Arab"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 73.6934323310852,
+  "kg_co2_emissions": null
+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackEnglishRetrieval-Fa.json

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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackGamingRetrieval-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackGisRetrieval-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackMathematicaRetrieval-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackPhysicsRetrieval-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackProgrammersRetrieval-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackRetrieval-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackStatsRetrieval-Fa.json

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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackTexRetrieval-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackUnixRetrieval-Fa.json

@@ -0,0 +1,158 @@
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackWebmastersRetrieval-Fa.json

@@ -0,0 +1,158 @@
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/CQADupstackWordpressRetrieval-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/ClimateFEVER-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/DBPedia-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/DeepSentiPers.json

@@ -0,0 +1,73 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/DigikalamagClassification.json

@@ -0,0 +1,73 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/DigikalamagClustering.json

@@ -0,0 +1,34 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/FarsTail.json

@@ -0,0 +1,58 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/FarsiParaphraseDetection.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/Farsick.json

@@ -0,0 +1,26 @@
+{
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/FiQA2018-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/HamshahriClustring.json

@@ -0,0 +1,34 @@
+{
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/HotpotQA-Fa.json

@@ -0,0 +1,158 @@
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/MSMARCO-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/MassiveScenarioClassification.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/MultilingualSentimentClassification.json

@@ -0,0 +1,95 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/NFCorpus-Fa.json

@@ -0,0 +1,158 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/NLPTwitterAnalysisClassification.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/NLPTwitterAnalysisClustering.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/NQ-Fa.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/NeuCLIR2023Retrieval.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/ParsinluEntail.json

@@ -0,0 +1,58 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/ParsinluQueryParaphPC.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/PersianFoodSentimentClassification.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/PersianTextEmotion.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/PersianTextTone.json

@@ -0,0 +1,73 @@
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/PersianWebDocumentRetrieval.json

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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/Query2Query.json

@@ -0,0 +1,26 @@
+{
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/QuoraRetrieval-Fa.json

@@ -0,0 +1,158 @@
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/SAMSumFa.json

@@ -0,0 +1,22 @@
+{
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/SCIDOCS-Fa.json

@@ -0,0 +1,158 @@
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/SIDClassification.json

@@ -0,0 +1,73 @@
+{
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results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/SIDClustring.json

@@ -0,0 +1,34 @@
+{
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+  "task_name": "SIDClustring",
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+}

results/Alibaba-NLP__gte-multilingual-base/7fc06782350c1a83f88b15dd4b38ef853d3b8503/SciFact-Fa.json

@@ -0,0 +1,158 @@
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