Add RCA100/cases/ (103 tasks × 7 files = 721 files, ~3.4 GB via LFS for parquet)

{

  "task_id": "t001",

  "task_version": "1.0",

  "alert_event_id": "tbdh9alum56k56pj9864sdn2i0",

  "alert_title": "checkout 错误次数告警",

  "alert_trigger_time": "",

  "alert_window": {

    "start": "2026-04-25T05:18:12.716735+00:00",

    "end": "2026-04-25T05:28:12.716735+00:00"

  },

  "alert_entity": {

    "entity_id": null,

    "entity_name": null,

    "entity_type": null,

    "entity_domain": null

  },

  "prompt_text": "<code vibeops_object type=\"alert_event\">checkout 错误次数告警<alert_event event_id=\"ee53bc56825ddb197fd34ca61136d964\" trans_id=\"tbdh9alum56k56pj9864sdn2i0\" rule_id=\"08493be2-a181-4480-9895-2b2c5607122e\" rule_name=\"checkout 错误次数告警\" entity_id=\"d219413245b68b297976412bbee076cf\" entity_name=\"checkout::/oteldemo.CheckoutService/PlaceOrder\" entity_type=\"apm.operation\" entity_domain=\"apm\" alert_time=\"2026-04-25T13:20:26+08:00\" /></code> 帮我分析下根因。",

  "workspace": "rca-benchmark",

  "region_id": "cn-hongkong",

  "available_modalities": [

    "metrics",

    "logs",

    "traces",

    "events",

    "alerts",

    "topology"

  ],

  "scoring_note": "Output contract (prediction_schema.json) and fault taxonomy (taxonomy.json) will be published in a follow-up release."

}

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