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h4rm0n1c/magpie-todotool-reasoning-v1

Magpie TodoReasoning Dataset High-quality reasoning traces where the model planned and executed multi-step tasks tracked via update_plan tool calls. Source 21 sessions from three sources: Opencode sessions: multi-step engineering tasks managed via todowrite — normalised to update_plan. Codex CLI rollouts: full Codex CLI sessions with update_plan calls and reasoning traces. Claude/Fable variant: Claude Code task-management traces. Annotation Every… See the full description on the dataset page: https://huggingface.co/datasets/h4rm0n1c/magpie-todotool-reasoning-v1.

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Magpie TodoReasoning Dataset

High-quality reasoning traces where the model planned and executed multi-step tasks tracked via update_plan tool calls.

Source

21 sessions from three sources:

  • —Opencode sessions: multi-step engineering tasks managed via `todowrite — normalised to update_plan`.
  • —Codex CLI rollouts: full Codex CLI sessions with `update_plan` calls and reasoning traces.
  • —Claude/Fable variant: Claude Code task-management traces.

Annotation

Every session uses the same four-message shape:

  1. 1.Developer — session metadata (title, agent, verdict, token count).
  2. 2.User — task prompt.
  3. 3.Assistant — chain-of-thought reasoning in `<reasoning>...</reasoning> (when available) plus update_plan` tool call with the full step plan.
  4. 4.Tool — completion summary.

PII Handling (NIST SP 800-188)

All PII suppressed per NIST SP 800-188:

  • —API keys / tokens → `[REDACTED]`
  • —Email addresses → `[EMAIL]`
  • —IP addresses → `[IP]`
  • —`/home/<user>/ → /home/[USER]/`
  • —Git SHAs → `[HASH]`

Normalization

Processed through the Stratum magpie normaliser which converts as many formats as I could get my hands on into as precise an OpenAi format as I could align it based on current codex cli tool shape.