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flat/objects/11/02/11025919-5d8c-42bf-a58d-29db4a052b13.json

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flat/objects/11/07/11077639-7e12-4ca6-bf83-763aefeadb64.json

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flat/objects/11/07/11079cdc-1c99-491b-8a94-e92f564f32af.json

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flat/objects/11/10/11106abe-8a8d-4963-b79c-9a95e16442cb.json

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+}

flat/objects/11/17/1117b40e-3f54-446b-8435-b811105880a8.json

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+}

flat/objects/11/1a/111a76a8-4ce3-456f-908c-9c71777d7235.json

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flat/objects/11/1b/111b429b-744e-49eb-ae87-8f92f8f4b36a.json

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+        "additional_details": {
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+      }
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+          "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups/core_scenarios.json"
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+          "MATH - # output tokens": "{\"description\": \"min=1, mean=1, max=1, sum=7 (7)\", \"tab\": \"General information\", \"score\": \"1.0\"}"
+        }
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+          "level": "\"1\"",
+          "use_official_examples": "\"False\"",
+          "use_chain_of_thought": "\"True\""
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+      }
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+        "source_type": "url",
+        "url": [
+          "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups/core_scenarios.json"
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+          "GSM8K - # eval": "{\"description\": \"min=1000, mean=1000, max=1000, sum=1000 (1)\", \"tab\": \"General information\", \"score\": \"1000.0\"}",
+          "GSM8K - # train": "{\"description\": \"min=5, mean=5, max=5, sum=5 (1)\", \"tab\": \"General information\", \"score\": \"5.0\"}",
+          "GSM8K - truncated": "{\"description\": \"min=0, mean=0, max=0, sum=0 (1)\", \"tab\": \"General information\", \"score\": \"0.0\"}",
+          "GSM8K - # prompt tokens": "{\"description\": \"min=1187.268, mean=1187.268, max=1187.268, sum=1187.268 (1)\", \"tab\": \"General information\", \"score\": \"1187.268\"}",
+          "GSM8K - # output tokens": "{\"description\": \"min=1, mean=1, max=1, sum=1 (1)\", \"tab\": \"General information\", \"score\": \"1.0\"}"
+        }
+      },
+      "generation_config": {
+        "additional_details": {}
+      }
+    },
+    {
+      "evaluation_name": "LegalBench",
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+        "dataset_name": "LegalBench",
+        "source_type": "url",
+        "url": [
+          "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups/core_scenarios.json"
+        ]
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+      "metric_config": {
+        "evaluation_description": "EM on LegalBench",
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+          "LegalBench - Observed inference time (s)": "{\"description\": \"min=0.287, mean=0.353, max=0.577, sum=1.765 (5)\", \"tab\": \"Efficiency\", \"score\": \"0.35307050709631943\"}",
+          "LegalBench - # eval": "{\"description\": \"min=95, mean=409.4, max=1000, sum=2047 (5)\", \"tab\": \"General information\", \"score\": \"409.4\"}",
+          "LegalBench - # train": "{\"description\": \"min=1.969, mean=4.194, max=5, sum=20.969 (5)\", \"tab\": \"General information\", \"score\": \"4.1938775510204085\"}",
+          "LegalBench - truncated": "{\"description\": \"min=0, mean=0, max=0, sum=0 (5)\", \"tab\": \"General information\", \"score\": \"0.0\"}",
+          "LegalBench - # prompt tokens": "{\"description\": \"min=219.453, mean=998.503, max=3534.259, sum=4992.513 (5)\", \"tab\": \"General information\", \"score\": \"998.5025315575822\"}",
+          "LegalBench - # output tokens": "{\"description\": \"min=0.992, mean=0.998, max=1, sum=4.992 (5)\", \"tab\": \"General information\", \"score\": \"0.9983673469387755\"}"
+        }
+      },
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+          "subset": "[\"abercrombie\", \"corporate_lobbying\", \"function_of_decision_section\", \"international_citizenship_questions\", \"proa\"]"
+        }
+      }
+    },
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+        "source_type": "url",
+        "url": [
+          "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups/core_scenarios.json"
+        ]
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+          "MedQA - # train": "{\"description\": \"min=5, mean=5, max=5, sum=5 (1)\", \"tab\": \"General information\", \"score\": \"5.0\"}",
+          "MedQA - truncated": "{\"description\": \"min=0, mean=0, max=0, sum=0 (1)\", \"tab\": \"General information\", \"score\": \"0.0\"}",
+          "MedQA - # prompt tokens": "{\"description\": \"min=1193.093, mean=1193.093, max=1193.093, sum=1193.093 (1)\", \"tab\": \"General information\", \"score\": \"1193.0934393638172\"}",
+          "MedQA - # output tokens": "{\"description\": \"min=1, mean=1, max=1, sum=1 (1)\", \"tab\": \"General information\", \"score\": \"1.0\"}"
+        }
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+      "generation_config": {
+        "additional_details": {}
+      }
+    },
+    {
+      "evaluation_name": "WMT 2014",
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+        "source_type": "url",
+        "url": [
+          "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups/core_scenarios.json"
+        ]
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+        "evaluation_description": "BLEU-4 on WMT 2014",
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+          "WMT 2014 - truncated": "{\"description\": \"min=0, mean=0, max=0, sum=0 (5)\", \"tab\": \"General information\", \"score\": \"0.0\"}",
+          "WMT 2014 - # prompt tokens": "{\"description\": \"min=130.306, mean=144.433, max=163.018, sum=722.166 (5)\", \"tab\": \"General information\", \"score\": \"144.43317355482492\"}",
+          "WMT 2014 - # output tokens": "{\"description\": \"min=1, mean=1, max=1, sum=5 (5)\", \"tab\": \"General information\", \"score\": \"1.0\"}"
+        }
+      },
+      "generation_config": {
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+          "language_pair": "[\"cs-en\", \"de-en\", \"fr-en\", \"hi-en\", \"ru-en\"]"
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+    }
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+}

flat/objects/11/1f/111fc1be-5f58-4a86-ac98-baf5ed1356c4.json

@@ -0,0 +1,178 @@
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+}

flat/objects/11/20/1120af63-4091-4f3a-919a-49519f7e3338.json

@@ -0,0 +1,90 @@
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+              {
+                "name": "read_file",
+                "description": "Read files from the filesystem"
+              },
+              {
+                "name": "write_file",
+                "description": "Write files to the filesystem"
+              }
+            ]
+          }
+        },
+        "additional_details": {
+          "agent_scaffold": "HAL Generalist Agent",
+          "hal_rank": "49",
+          "runs": "1",
+          "verified": "True",
+          "is_pareto": "False",
+          "total_cost_usd": "30.38"
+        }
+      }
+    }
+  ]
+}

flat/objects/11/21/11210bfa-0893-4ea6-8d8d-fada0ee82e64.json

@@ -0,0 +1,478 @@
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+        "evaluation_description": "Performance on the Multi-Instance (MI) dimension, which tests the model's ability to generate multiple distinct instances, including handling negative constraints, within a single image. Evaluation is performed by the Gemini 2.5 Flash MLLM.",
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+        "metric_id": "multi_instance_mi_performance_on_t2i_corebench_gemini_2_5_flash_eval",
+        "metric_name": "Multi-Instance (MI) Performance on T2I-COREBENCH (Gemini 2.5 Flash Eval)",
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+        "score_type": "continuous",
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+        },
+        "metric_id": "multi_relation_mr_performance_on_t2i_corebench_gemini_2_5_flash_eval",
+        "metric_name": "Multi-Relation (MR) Performance on T2I-COREBENCH (Gemini 2.5 Flash Eval)",
+        "metric_kind": "score",
+        "metric_unit": "points"
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+        "score_type": "continuous",
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+        "evaluation_description": "Performance on the Procedural Reasoning (PR) dimension, which tests the model's ability to reason over an ordered sequence of incremental procedures to generate only the final scene. Evaluation is performed by the Gemini 2.5 Flash MLLM.",
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+          "raw_evaluation_name": "Reasoning Performance on T2I-COREBENCH (Gemini 2.5 Flash Eval)"
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+        "score_type": "continuous",
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+        "max_score": 100.0,
+        "evaluation_description": "Performance on the Analogical Reasoning (AR) dimension, which tests the model's ability to transfer specific relational rules from a source domain example to a structurally parallel target domain. Evaluation is performed by the Gemini 2.5 Flash MLLM.",
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flat/objects/11/23/11230f2e-c509-4710-ae68-c9568bba9709.json

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flat/objects/11/25/1125075c-04c1-40b7-9611-8ca81de5b98e.json

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flat/objects/11/25/1125dd05-2f0d-48ca-825c-f5efa18564aa.json

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flat/objects/11/3a/113acc4e-d3c1-40dd-bdb3-23c3c18e3275.json

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flat/objects/11/41/11415904-fa91-47cf-8471-791a049469dc.json

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flat/objects/11/46/11460195-2e63-4c2d-be1f-16d9d07677b5.json

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flat/objects/11/4b/114bae22-414c-4a26-89a2-bbed12058435.json

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flat/objects/11/4c/114ca657-c471-4917-971b-c51a4c0ba7ac.json

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flat/objects/11/4f/114f61fc-6891-4d9a-9901-09a9185766a1.json

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flat/objects/11/51/115151c8-15c6-4f24-9654-b38f3abed352.json

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flat/objects/11/52/11521cae-9ea1-4c6a-aadc-28c00bcf1cd0.json

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flat/objects/11/52/1152cf28-f072-4ebd-b2f0-cd001e2f4a86.json

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