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flat/objects/18/02/1802f8c2-cda6-4911-a6ff-6a0070b7eca7.json

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flat/objects/18/0a/180a09da-57ab-4c91-ad73-52ec3ee58fd9.json

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flat/objects/18/0e/180e042c-98a8-4253-90a5-cefc352a1f72.json

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flat/objects/18/0e/180eedab-e606-41d7-89e0-e6584d061407.json

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+}

flat/objects/18/1f/181fb45d-edd0-4a58-848f-56c205256dd1.json

@@ -0,0 +1,148 @@
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+}

flat/objects/18/26/18265238-9625-4126-b8cb-c3138f07efd8.json

@@ -0,0 +1,298 @@
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+    },
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+          "raw_evaluation_name": "Crypto-MMLU-Alpha Performance (0 words encoded)"
+        },
+        "metric_id": "crypto_mmlu_alpha_performance_0_words_encoded",
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+    },
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flat/objects/18/3a/183a686f-d4b8-46e3-ac3a-baf42def2526.json

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flat/objects/18/42/1842c610-edc1-4b8e-a6f6-182ec26c4d8a.json

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flat/objects/18/44/1844cea9-614f-4c15-8d50-599584c849b4.json

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flat/objects/18/45/18452da6-562e-4e42-9eb3-296d9d011389.json

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flat/objects/18/4b/184bc9da-434d-4286-9650-924e5196cbd2.json

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+    },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}

flat/objects/18/72/1872dd5b-4701-40c5-a03c-e3fdf72aec5c.json

@@ -0,0 +1,238 @@
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+}

flat/objects/18/7b/187b37c6-dca6-4d58-9c1e-b2aa703f04fe.json

@@ -0,0 +1,298 @@
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+        "source_type": "url",
+        "url": [
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+        "metric_name": "OmniBench: Accuracy on Samples with Speech Audio",
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+          "alphaxiv_is_primary": "False",
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+        },
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+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0,
+        "metric_id": "accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "proportion"
+      },
+      "score_details": {
+        "score": 0.3884
+      },
+      "evaluation_result_id": "hfopenllm_v2/open-neo_Kyro-n1-7B/1773936498.240187#musr#accuracy"
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0,
+        "metric_id": "accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "proportion"
+      },
+      "score_details": {
+        "score": 0.4333
+      },
+      "evaluation_result_id": "hfopenllm_v2/open-neo_Kyro-n1-7B/1773936498.240187#mmlu_pro#accuracy"
+    }
+  ]
+}