Automated Adapter Data Update

data/run_report.json

@@ -1,12 +1,5 @@
 {
   "adapters": {
-    "artificial_analysis": {
-      "data_changed": true,
-      "errors": [],
-      "execution_failed": false,
-      "failed_files": 0,
-      "valid_files": 595
-    },
     "bfcl": {
       "data_changed": false,
       "errors": [],
@@ -18,6 +11,13 @@
       "error": "\n  File \"/home/runner/work/every_eval_ever-cron/every_eval_ever-cron/.venv/lib/python3.14/site-packages/dill/_dill.py\", line 1217, in save_module_dict\n    StockPickler.save_dict(pickler, obj)\n    ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/pickle.py\", line 1058, in save_dict\n    self._batch_setitems(obj.items(), obj)\n    ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nTypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given\n",
       "execution_failed": true
     },
+    "hal": {
+      "data_changed": false,
+      "errors": [],
+      "execution_failed": false,
+      "failed_files": 0,
+      "valid_files": 246
+    },
     "helm": {
       "data_changed": false,
       "errors": [],
@@ -25,18 +25,31 @@
       "failed_files": 0,
       "valid_files": 68
     },
-    "livecodebenchpro": {
-      "error": "e \"<frozen runpy>\", line 88, in _run_code\n  File \"/home/runner/work/every_eval_ever-cron/every_eval_ever-cron/utils/livecodebenchpro/adapter.py\", line 94, in <module>\n    main()\n    ~~~~^^\n  File \"/home/runner/work/every_eval_ever-cron/every_eval_ever-cron/utils/livecodebenchpro/adapter.py\", line 82, in main\n    raise FileNotFoundError(f'No JSON files found in {DATA_DIR}')\nFileNotFoundError: No JSON files found in /home/runner/work/every_eval_ever-cron/every_eval_ever-cron/data/livecodebenchpro\n",
-      "execution_failed": true
+    "mmlu_pro": {
+      "data_changed": false,
+      "errors": [],
+      "execution_failed": false,
+      "failed_files": 0,
+      "valid_files": 261
     },
-    "mercor_eval": {
-      "error": "base_url}/benchmarks',\n        headers=headers,\n        timeout=DEFAULT_TIMEOUT,\n    )\n  File \"/home/runner/work/every_eval_ever-cron/every_eval_ever-cron/utils/mercor_eval/adapter.py\", line 217, in request_json\n    raise RuntimeError(\n        f'Failed to fetch Mercor endpoint {url}: {exc}'\n    ) from exc\nRuntimeError: Failed to fetch Mercor endpoint https://coil.mercor.com/external/evals/v1/benchmarks: 401 Client Error: Unauthorized for url: https://coil.mercor.com/external/evals/v1/benchmarks\n",
+    "swe_polybench": {
+      "error": "\n  File \"/home/runner/work/every_eval_ever-cron/every_eval_ever-cron/.venv/lib/python3.14/site-packages/dill/_dill.py\", line 1217, in save_module_dict\n    StockPickler.save_dict(pickler, obj)\n    ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/pickle.py\", line 1058, in save_dict\n    self._batch_setitems(obj.items(), obj)\n    ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nTypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given\n",
       "execution_failed": true
     },
-    "sciarena": {
-      "error": "ecode(s)\n           ~~~~~~~~~~~~~~~~~~~~~~~^^^\n  File \"/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/json/decoder.py\", line 345, in decode\n    obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n               ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/json/decoder.py\", line 363, in raw_decode\n    raise JSONDecodeError(\"Expecting value\", s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n",
-      "execution_failed": true
+    "terminal_bench_2": {
+      "data_changed": false,
+      "errors": [],
+      "execution_failed": false,
+      "failed_files": 0,
+      "valid_files": 115
+    },
+    "vals_ai": {
+      "data_changed": true,
+      "errors": [],
+      "execution_failed": false,
+      "failed_files": 0,
+      "valid_files": 2377
     }
   },
-  "date": "2026-08-07"
+  "date": "2026-08-10"
 }

data/vals_ai/Qwen/Qwen2.5-72B-Instruct-Turbo/99198955-81ca-46e7-b8e1-5083809edb52.json

@@ -0,0 +1,420 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "vals-ai/legal_bench/Qwen_Qwen2.5-72B-Instruct-Turbo/1786323451.3243954",
+  "retrieved_timestamp": "1786323451.3243954",
+  "source_metadata": {
+    "source_name": "Vals.ai Leaderboard - LegalBench",
+    "source_type": "documentation",
+    "source_organization_name": "Vals.ai",
+    "source_organization_url": "https://www.vals.ai",
+    "evaluator_relationship": "third_party",
+    "additional_details": {
+      "benchmark_slug": "legal_bench",
+      "benchmark_name": "LegalBench",
+      "benchmark_updated": "2026-08-05",
+      "dataset_type": "public",
+      "industry": "legal",
+      "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
+      "extraction_method": "static_astro_benchmark_view_props"
+    }
+  },
+  "eval_library": {
+    "name": "Vals.ai",
+    "version": "unknown"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-Instruct-Turbo",
+    "id": "Qwen/Qwen2.5-72B-Instruct-Turbo",
+    "developer": "Qwen",
+    "additional_details": {
+      "vals_model_id": "together/Qwen/Qwen2.5-72B-Instruct-Turbo",
+      "vals_provider": "Together AI"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_result_id": "legal_bench:conclusion_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.conclusion_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Conclusion Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "conclusion_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Conclusion Tasks).",
+        "metric_id": "vals_ai.legal_bench.conclusion_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 83.012,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "conclusion_tasks",
+          "task_name": "Conclusion Tasks",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "83.012",
+          "raw_stderr": "1.026",
+          "latency": "0.513",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 1.026,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    },
+    {
+      "evaluation_result_id": "legal_bench:interpretation_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.interpretation_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Interpretation Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "interpretation_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Interpretation Tasks).",
+        "metric_id": "vals_ai.legal_bench.interpretation_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 78.576,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "interpretation_tasks",
+          "task_name": "Interpretation Tasks",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "78.576",
+          "raw_stderr": "0.2",
+          "latency": "0.592",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 0.2,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    },
+    {
+      "evaluation_result_id": "legal_bench:issue_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.issue_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Issue Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "issue_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Issue Tasks).",
+        "metric_id": "vals_ai.legal_bench.issue_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 82.193,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "issue_tasks",
+          "task_name": "Issue Tasks",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "82.193",
+          "raw_stderr": "0.678",
+          "latency": "0.638",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 0.678,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    },
+    {
+      "evaluation_result_id": "legal_bench:overall:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.overall",
+      "source_data": {
+        "dataset_name": "LegalBench - Overall",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "overall",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Overall).",
+        "metric_id": "vals_ai.legal_bench.overall.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 79.403,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "overall",
+          "task_name": "Overall",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "79.403",
+          "raw_stderr": "0.66",
+          "latency": "0.831",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 0.66,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    },
+    {
+      "evaluation_result_id": "legal_bench:rhetoric_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.rhetoric_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Rhetoric Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "rhetoric_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Rhetoric Tasks).",
+        "metric_id": "vals_ai.legal_bench.rhetoric_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 78.36,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "rhetoric_tasks",
+          "task_name": "Rhetoric Tasks",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "78.36",
+          "raw_stderr": "1.173",
+          "latency": "0.545",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 1.173,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    },
+    {
+      "evaluation_result_id": "legal_bench:rule_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.rule_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Rule Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "rule_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Rule Tasks).",
+        "metric_id": "vals_ai.legal_bench.rule_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 74.874,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "rule_tasks",
+          "task_name": "Rule Tasks",
+          "dataset_type": "public",
+          "industry": "legal",
+          "raw_score": "74.874",
+          "raw_stderr": "2.819",
+          "latency": "1.868",
+          "temperature": "0.7",
+          "max_output_tokens": "4096",
+          "provider": "Together AI"
+        },
+        "uncertainty": {
+          "standard_error": {
+            "value": 2.819,
+            "method": "vals_reported"
+          }
+        }
+      },
+      "generation_config": {
+        "generation_args": {
+          "temperature": 0.7,
+          "max_tokens": 4096,
+          "max_attempts": 1
+        }
+      }
+    }
+  ]
+}

data/vals_ai/Qwen/Qwen2.5-7B-Instruct-Turbo/0b61f74b-985b-4265-a512-d7d262f43dc7.json

@@ -0,0 +1,420 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "vals-ai/legal_bench/Qwen_Qwen2.5-7B-Instruct-Turbo/1786323451.3243954",
+  "retrieved_timestamp": "1786323451.3243954",
+  "source_metadata": {
+    "source_name": "Vals.ai Leaderboard - LegalBench",
+    "source_type": "documentation",
+    "source_organization_name": "Vals.ai",
+    "source_organization_url": "https://www.vals.ai",
+    "evaluator_relationship": "third_party",
+    "additional_details": {
+      "benchmark_slug": "legal_bench",
+      "benchmark_name": "LegalBench",
+      "benchmark_updated": "2026-08-05",
+      "dataset_type": "public",
+      "industry": "legal",
+      "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
+      "extraction_method": "static_astro_benchmark_view_props"
+    }
+  },
+  "eval_library": {
+    "name": "Vals.ai",
+    "version": "unknown"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-Turbo",
+    "id": "Qwen/Qwen2.5-7B-Instruct-Turbo",
+    "developer": "Qwen",
+    "additional_details": {
+      "vals_model_id": "together/Qwen/Qwen2.5-7B-Instruct-Turbo",
+      "vals_provider": "Together AI"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_result_id": "legal_bench:conclusion_tasks:together/Qwen/Qwen2.5-7B-Instruct-Turbo:score",
+      "evaluation_name": "vals_ai.legal_bench.conclusion_tasks",
+      "source_data": {
+        "dataset_name": "LegalBench - Conclusion Tasks",
+        "source_type": "url",
+        "url": [
+          "https://www.vals.ai/benchmarks/legal_bench"
+        ],
+        "additional_details": {
+          "benchmark_slug": "legal_bench",
+          "task_key": "conclusion_tasks",
+          "dataset_type": "public",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Conclusion Tasks).",
+        "metric_id": "vals_ai.legal_bench.conclusion_tasks.accuracy",
+        "metric_name": "Accuracy",
+        "metric_kind": "accuracy",
+        "metric_unit": "percent",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 100.0,
+        "additional_details": {
+          "score_scale": "percent_0_to_100",
+          "max_score_source": "fixed_percentage_bound",
+          "leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
+        }
+      },
+      "score_details": {
+        "score": 65.607,
+        "details": {
+          "benchmark_slug": "legal_bench",
+          "benchmark_name": "LegalBench",
+          "benchmark_updated": "2026-08-05",
+          "task_key": "conclusion_tasks",
+          "task_name": "Conclusion Tasks",
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data/vals_ai/ai21labs/jamba-1.5-large/13532d3d-3ced-4e34-937a-9173f352a1f6.json

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data/vals_ai/ai21labs/jamba-1.5-large/a3aa91d5-2a06-4cbf-87ab-381f8984b439.json

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data/vals_ai/ai21labs/jamba-1.5-mini/4d2c5913-a1cf-457d-89d4-c65a185024a8.json

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data/vals_ai/ai21labs/jamba-1.5-mini/c0a3760f-5797-4c90-9eca-91c631fc3e66.json

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data/vals_ai/alibaba/qwen3-max-2026-01-23/359bf411-ddc5-4754-81d2-dc32f5dfd268.json

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data/vals_ai/alibaba/qwen3-max-2026-01-23/3db09ec5-6cad-44b4-ab9d-b35e0c34ae75.json

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data/vals_ai/alibaba/qwen3-max-2026-01-23/a275ee04-2faa-4f67-903f-14340322bb2f.json

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data/vals_ai/alibaba/qwen3-max-preview/7c975485-60d8-4da5-9ffe-bbda4863bfed.json

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data/vals_ai/alibaba/qwen3-max-preview/bd9212a7-468e-4713-8d68-deec86541ffe.json

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data/vals_ai/alibaba/qwen3-max/45bd3ac9-16f6-49f8-a015-60197ea462be.json

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data/vals_ai/alibaba/qwen3-max/9201e44f-f8d9-4a4c-9be9-7deb274d0b52.json

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data/vals_ai/alibaba/qwen3-max/b7c98ad5-4fae-489d-b34f-44680e8352ea.json

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data/vals_ai/alibaba/qwen3.5-flash/06661519-82cf-4afb-a016-7ed7c7983ef4.json

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data/vals_ai/alibaba/qwen3.5-flash/220b6e2e-1d5b-420a-ac45-f3241de8a9f5.json

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data/vals_ai/alibaba/qwen3.5-flash/fc466cb4-80f3-4c6d-a6c6-79f0c81f9cee.json

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