{
  "dataset_name": "Aurevus Frontier Agentic Trajectories",
  "version": "public-sample-v1",
  "status": "early_access",
  "stage": "first datasets compiling now",
  "description": "Sanitized public dataset card for verified ARC-AGI-3 agentic reasoning trajectories generated by a proprietary, model-agnostic Cognitive OS.",
  "commercial_product": "non-exclusive data feed for frontier AI labs and agentic reasoning teams",
  "benchmark": "ARC-AGI-3",
  "snapshot_note": "This is a sanitized public sample that demonstrates structure, not production volume. The dataset is built to compound as the Cognitive OS solves more problems. Exact counts are shared with qualified partners under diligence rather than published here, because they change continuously.",
  "current_public_sample": {
    "scale_description": "a compact, sanitized set of linked records across solved-game trajectories",
    "debate_layer": "live and expanding"
  },
  "record_types": [
    {
      "name": "decision",
      "join_keys": ["problem_id", "step"],
      "public_fields": ["state_hash", "available_actions", "value_estimates", "selected_action", "links"],
      "purpose": "moment-to-moment decision signal"
    },
    {
      "name": "outcome",
      "join_keys": ["problem_id", "step"],
      "public_fields": ["state_transition", "grade", "verified_by", "links"],
      "purpose": "ground-truth pass/fail state-transition label"
    },
    {
      "name": "debate",
      "join_keys": ["problem_id", "step"],
      "public_fields": ["claim", "counterexample", "falsification_test", "verdict", "chosen_action", "linked_grade"],
      "purpose": "structured adversarial reasoning trace"
    }
  ],
  "format": "JSONL",
  "intended_uses": [
    "supervised fine-tuning",
    "RL/RLAIF",
    "reward modeling",
    "agentic capability evaluation",
    "failure-mode analysis",
    "private held-out probes"
  ],
  "access_model": "sanitized public sample; production feed and deeper samples available through qualified partnership review",
  "availability": "early access — first datasets compiling now",
  "contact": "architect@aurevus.ai"
}