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CARA β€” Cognitive Agent Reasoning Archive

Step-level traces of an AI coding agent with structured thinking, actions, outcomes, and quality labels. Each row is one agent step inside a longer session.

Versions

File Rows Notes
cara_v1.parquet 21993 initial release
cara_v2.parquet 22139 +146 steps
cara_v3.parquet 22142 latest (+149 vs v1); symlinked as cara_latest.parquet upstream

Schema (selected)

  • thinking_raw / thinking_summary β€” the agent's private reasoning before acting
  • thinking_refs_prior_error, thinking_plans_ahead β€” boolean reasoning-quality flags
  • action_type, action_tool_name, action_tool_input β€” the tool call taken
  • outcome_tool_result, outcome_error, outcome_led_to_success β€” what happened
  • quality_difficulty (1–5), quality_domain, quality_thinking_bucket β€” curator labels

Use cases

  • Train tool-using agents to reason before acting
  • Self-healing models: rows with outcome_error teach diagnose-and-retry behavior
  • Reward models / process supervision using outcome_led_to_success

Example (converted to chat format)

See Mythos-V3 training mix (FableForge) for a conversion that turns each row into a system/user/assistant chatml sample: context as user turn, thinking + tool call + error-recovery as the assistant turn.

License

Apache-2.0. Contains agent-generated reasoning traces; no PII.

FableForge-AI / King3Djbl.

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