Add files using upload-large-folder tool

data/hal/hal-corebench-hard/anthropic/claude-haiku-4-5/096cc941-3191-438f-9147-0838b482c2a1.json

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data/hal/hal-corebench-hard/anthropic/claude-opus-4-5/070b5549-9dae-45f1-a9f9-b7ea375ebf3f.json

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data/hal/hal-corebench-hard/anthropic/claude-opus-4-5/17c7fdfb-481e-42a7-8676-cd231b612f5a.json

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data/hal/hal-corebench-hard/anthropic/claude-opus-4-5/646c2b2d-4259-4214-b0c5-376099c23a3e.json

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data/hal/hal-corebench-hard/anthropic/claude-opus-4-5/b9387006-fe88-45a9-aabe-24b5a9770a7c.json

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data/hal/hal-corebench-hard/anthropic/claude-opus-4-5/f0bfec5c-0d9d-4690-9e57-aa0e5c76035b.json

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data/hal/hal-corebench-hard/anthropic/claude-sonnet-4-5/5f09b23a-11c1-41f2-b2c2-6e11e7edc7d9.json

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data/hal/hal-corebench-hard/anthropic/claude-sonnet-4-5/b9cdbf2c-8407-4093-a2f7-b6dc48ef9f76.json

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data/hal/hal-corebench-hard/anthropic/claude-sonnet-4/a912deb2-aa4b-4678-955d-ea9dc83301a0.json

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data/hal/hal-corebench-hard/anthropic/claude-sonnet-4/b158dfd8-3574-4e19-a879-175707289113.json

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data/hal/hal-corebench-hard/anthropic/claude-sonnet-4/f40dcde7-3ac7-49d2-b5e1-96764de0ed3a.json

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data/hal/hal-corebench-hard/deepseek/deepseek-r1/71565641-952d-4289-b642-d0e64fd46369.json

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data/hal/hal-corebench-hard/deepseek/deepseek-r1/a5802fbc-2cb9-47c1-a7c5-8639451bc86c.json

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data/hal/hal-corebench-hard/deepseek/deepseek-r1/ce2be257-78a3-4464-932f-68e7b4e8dadb.json

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data/hal/hal-corebench-hard/deepseek/deepseek-v3-1/6d52c3c1-b148-49a8-b2df-ff8003b45717.json

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data/hal/hal-corebench-hard/deepseek/deepseek-v3/009e2f46-a849-46ea-a286-0071bb45dd26.json

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data/hal/hal-corebench-hard/deepseek/deepseek-v3/6b650a70-fcd6-4086-abfa-c1c51c573d7d.json

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data/hal/hal-gaia/anthropic/claude-3-7-sonnet-20250219/218fdb37-b55b-463d-970d-bbd40f0fe7d3.json

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data/hal/hal-gaia/anthropic/claude-3-7-sonnet-20250219/2e37f4c9-58d8-4724-8a01-673630a00841.json

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data/hal/hal-gaia/anthropic/claude-3-7-sonnet-20250219/3ef2d853-fb05-47f9-866c-4a2d4c38b131.json

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data/hal/hal-gaia/anthropic/claude-3-7-sonnet-20250219/f6ba4de6-be3b-4d46-8b20-9013af5da252.json

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data/hal/hal-gaia/anthropic/claude-haiku-4-5/38eee6e8-0b74-4434-b8cd-cd075f0947e6.json

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data/hal/hal-gaia/anthropic/claude-opus-4-1/37e34c3e-9ae2-448d-af90-c7259d9fc112.json

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data/hal/hal-gaia/anthropic/claude-opus-4-1/391e1047-67be-4e11-8251-de8c70404460.json

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data/hal/hal-gaia/anthropic/claude-opus-4-1/5e28dce6-5e72-4dff-911c-db705fdd0776.json

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data/hal/hal-gaia/anthropic/claude-opus-4-1/6c38a817-2856-444e-afad-f841ef37a8e6.json

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data/hal/hal-gaia/anthropic/claude-opus-4/28331092-ecdd-49c1-af26-2f27414d57e9.json

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data/hal/hal-gaia/anthropic/claude-opus-4/7eccb820-4fdb-4084-b436-5a8e4f0219df.json

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data/hal/hal-gaia/anthropic/claude-opus-4/e90ba665-8849-4a84-9f74-ee4028fb5a74.json

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data/hal/hal-gaia/anthropic/claude-sonnet-4-5/356d28d3-d4eb-42a4-9c84-8a9cb30df8a1.json

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data/hal/hal-gaia/anthropic/claude-sonnet-4-5/4b0c14d8-5808-4002-b1db-9628e73e0e5b.json

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data/hal/hal-gaia/anthropic/claude-sonnet-4-5/bede66c2-8112-4fc3-ae0e-f8e416229310.json

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data/hal/hal-gaia/anthropic/claude-sonnet-4-5/dca5fce1-89ca-4189-95b1-e289b2459dd6.json

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data/hal/hal-gaia/deepseek/deepseek-r1/1e167f08-acfd-4c19-947f-806bb5fa095d.json

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data/hal/hal-gaia/deepseek/deepseek-r1/6fc82b1d-93db-4a88-82f3-c6693fd140f7.json

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data/hal/hal-gaia/deepseek/deepseek-v3/816a1d62-1583-4f2d-afd1-5f099d2226fd.json

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data/hal/hal-gaia/deepseek/deepseek-v3/827a170e-69d1-4a22-a207-15b7c831e08b.json

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data/hal/hal-gaia/google/gemini-2-0-flash/6b0aacda-eafd-4cfe-9079-4984f6dbc1ab.json

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data/hal/hal-gaia/google/gemini-2-0-flash/dec3b66c-3fb3-4782-9ccd-ea0d17e45636.json

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data/hal/hal-gaia/openai/gpt-4-1/3a8844fd-87c3-49da-b1ce-568b6e535d89.json

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data/hal/hal-gaia/openai/gpt-4-1/854aa917-6a9f-42b9-8937-20e696cd50cb.json

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data/hal/hal-gaia/openai/o4-mini/030a35a2-40b3-4380-acc3-ebf70713ffdf.json

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data/hal/hal-gaia/openai/o4-mini/b3c2d6de-167c-431b-86f1-45f402150692.json

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data/hal/hal-gaia/openai/o4-mini/ca87ecfb-36ef-414a-8a38-5a3f6fcc4de0.json

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data/hal/hal-gaia/openai/o4-mini/d6e80c45-ca76-42d5-b365-d8a82851a603.json

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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5349
+      },
+      "generation_config": {
+        "generation_args": {
+          "agentic_eval_config": {
+            "available_tools": [
+              {
+                "name": "web_search",
+                "description": "Search the web for information"
+              },
+              {
+                "name": "browser",
+                "description": "Navigate and interact with live web pages"
+              },
+              {
+                "name": "python",
+                "description": "Execute Python code for computation"
+              },
+              {
+                "name": "read_file",
+                "description": "Read and process files"
+              }
+            ]
+          }
+        },
+        "additional_details": {
+          "agent_scaffold": "HAL Generalist Agent",
+          "hal_rank": "14",
+          "runs": "1",
+          "verified": "True",
+          "is_pareto": "True",
+          "total_cost_usd": "59.39"
+        }
+      }
+    },
+    {
+      "evaluation_name": "GAIA - GAIA Level 3",
+      "source_data": {
+        "source_type": "url",
+        "dataset_name": "GAIA",
+        "url": [
+          "https://huggingface.co/datasets/gaia-benchmark/GAIA",
+          "https://hal.cs.princeton.edu/gaia"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on Level 3 questions (hardest) (0.0–1.0)",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      },
+      "generation_config": {
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+          "agentic_eval_config": {
+            "available_tools": [
+              {
+                "name": "web_search",
+                "description": "Search the web for information"
+              },
+              {
+                "name": "browser",
+                "description": "Navigate and interact with live web pages"
+              },
+              {
+                "name": "python",
+                "description": "Execute Python code for computation"
+              },
+              {
+                "name": "read_file",
+                "description": "Read and process files"
+              }
+            ]
+          }
+        },
+        "additional_details": {
+          "agent_scaffold": "HAL Generalist Agent",
+          "hal_rank": "14",
+          "runs": "1",
+          "verified": "True",
+          "is_pareto": "True",
+          "total_cost_usd": "59.39"
+        }
+      }
+    }
+  ]
+}

data/hal/hal-taubench-airline/google/gemini-2-0-flash/966ceba3-79f9-4dbd-943f-669277126833.json

@@ -0,0 +1,78 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hal-taubench-airline/hal-generalist-agent/gemini-2-0-flash-february-2025/1782887520.0421894",
+  "retrieved_timestamp": "1782887520.0421894",
+  "source_metadata": {
+    "source_name": "HAL Leaderboard — TAU-bench Airline",
+    "source_type": "documentation",
+    "source_organization_name": "Princeton SAgE Team",
+    "source_organization_url": "https://hal.cs.princeton.edu",
+    "evaluator_relationship": "third_party",
+    "additional_details": {
+      "paper": "https://arxiv.org/pdf/2510.11977",
+      "benchmark_category": "Customer Service",
+      "benchmark_slug": "taubench_airline"
+    }
+  },
+  "eval_library": {
+    "name": "HAL",
+    "version": "unknown"
+  },
+  "model_info": {
+    "name": "Gemini 2.0 Flash (February 2025)",
+    "id": "google/gemini-2.0-flash",
+    "developer": "google",
+    "additional_details": {
+      "hal_model_name": "Gemini 2.0 Flash (February 2025)",
+      "agent_scaffold": "HAL Generalist Agent",
+      "benchmark": "TAU-bench Airline",
+      "total_cost_usd": "2.0"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "TAU-bench Airline",
+      "source_data": {
+        "source_type": "url",
+        "dataset_name": "TAU-bench Airline",
+        "url": [
+          "https://github.com/sierra-research/tau-bench",
+          "https://hal.cs.princeton.edu/taubench_airline"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Task success rate on TAU-bench Airline (0.0–1.0)",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.22,
+        "details": {
+          "accuracy_raw": "22.00%"
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "agentic_eval_config": {
+            "available_tools": [
+              {
+                "name": "function_calling",
+                "description": "Call predefined airline service API functions"
+              }
+            ]
+          }
+        },
+        "additional_details": {
+          "agent_scaffold": "HAL Generalist Agent",
+          "hal_rank": "20",
+          "runs": "1",
+          "verified": "True",
+          "is_pareto": "False",
+          "total_cost_usd": "2.0"
+        }
+      }
+    }
+  ]
+}