Datasets:

Quome
/

openworld-arc-agi-3

Field	Type	Meaning
`run_id`	str	`<game>__<tier>__<UTC-ISO8601>`; unique, immutable.
`game`	str	ARC-AGI-3 game id (e.g. `g50t`).
`tier`	str	`cheap` (fixed pixel search) or `agent` (live coding agent).
`method`	str	Human-readable solver name.
`source_free`	bool	Always true (the protocol).
`fairness`	str	`by-construction (...)` (agent/sandbox) or `by-audit (...)` (fixed solver).

Timing

Field	Type	Meaning
`started_at` / `ended_at`	str	UTC ISO-8601 wall-clock bounds of the run.
`finalized_at`	str	When the verified outcome was computed.
`exit_code`	int	Process exit code of the run (agent tier).

Model config (artifact isolation key)

model_config:

Field	Type	Meaning
`requested_model`	str/null	The `--model` passed (e.g. `claude-opus-4-8`); null for cheap tier.
`resolved_model`	str/null	The model id reported by the session (e.g. `claude-opus-4-8`).
`effort`	str/null	Pinned reasoning effort (`--effort`, e.g. `high`); null for cheap.
`fallback_model`	str/null	`--fallback-model` if set.
`claude_code_version`	str/null	CLI version (e.g. `2.1.193`).
`fast_mode_state`	str/null	`on`/`off`.
`permission_mode`	str/null	e.g. `bypassPermissions`.

Prompt & transcript

Field	Type	Meaning
`prompt_file`	str/null	`prompts/<run_id>.md` — exact prompt (agent only).
`prompt`	obj	`{chars, lines, sha256, approx_tokens}`.
`solution_file`	str	`solutions/<run_id>.json` — the produced action trace.
`transcript_file`	str/null	`transcripts/<run_id>.jsonl` — full stream-json (gitignored; on disk).
`transcript_sha256`	str/null	SHA-256 of the transcript file.
`transcript`	obj	See below.

`transcript` sub-fields

{session_id, num_turns, n_messages, n_tool_calls, tool_calls_by_name, n_text_blocks, n_thinking_blocks, n_user_msgs, is_error, api_error_status, duration_ms, duration_api_ms, ttft_ms} plus token/cost:

Field	Meaning
`tokens`	`{input, output, cache_creation, cache_read, total, source}`.
`tokens.source`	`result_block` (authoritative, from the `claude -p` result line) · `reconstructed_from_messages` (run was cut mid-stream → summed from each assistant message's `usage`) · `none` (empty transcript).
`cost_usd`	Authoritative total cost from the result block (null if the run was cut before emitting it).
`cost_usd_estimated`	Present only when `cost_usd` is null: estimated from `tokens` × `pricing_assumed`.
`cost_basis`	`result_block` · `estimated_from_tokens` · `unknown`.
`pricing_assumed`	The `$/Mtok` rates used for the estimate (`{input, output, cache_write, cache_read, model}`) — recorded so estimates are transparent and correctable.
`usage`	Raw usage object (authoritative or reconstructed).
`params`	obj

Provenance

Field	Type	Meaning
`host`	obj	`{hostname, platform, system, machine, python}`.
`git`	obj	`{commit, branch, dirty, remote}` at run time.
`pipeline`	obj	`{<script>: {sha256, bytes, mtime}}` for the scripts that produced the run.
`benchmark`	obj	`{name: ARC-AGI-3, grid: 64x64, colors: 16, actions}`.
`dataset_version`	str	Schema/dataset version.

Source-free integrity

Field	Type	Meaning
`source_free`	bool	The protocol (always true).
`fairness`	str	`by-construction` (agent sandbox) or `by-audit` (fixed solver).
`knowledge_audit`	obj	`{clean, findings, scanned}` — scan of the agent's loaded memory notes + CLAUDE.md for source-derived content (e.g. `environment_files`, a `<gameid>.py` reference, "source-derived/faithful", "read … source"). Computed per run, so memory/CLAUDE.md contamination is self-detecting, not caught only by manual review.
`memory_tainted`	bool	True if `knowledge_audit` found source-derived knowledge (or a run was manually flagged). `bank_from_runs` excludes these from the fair count. Kept in the dataset for transparency rather than deleted.
`memory_tainted_reason`	str	Present when manually flagged (e.g. the 2026-06-26 source-derived-note purge).

Outcome (independently recomputed)

outcome:

Field	Type	Meaning
`levels`	int	Levels completed by the trace (real-engine replay).
`win`	int	Total levels in the game.
`full_solve`	bool	audit-clean ∧ replay-verified ∧ round-trip-pass ∧ `levels>=win`.
`replay_verified`	bool	Trace raises `levels_completed` to the claimed depth in the real engine.
`audit`	obj	`{mode, dir
`openworld_roundtrip`	obj/null	`{depth_through_world, depth_real, misses, spec_valid, card_renders, n_states, n_transitions, indexed_fallback, pass}`.
`actions`	list	The verified action trace (`[a]` directional or `[6,x,y]` click).
`action_stats`	obj	`{n_actions, n_click, n_directional}`.

provenance (in the banked archive arc3_fullgame_sourcefree.json, not per-run) ties each banked game to the winning run_id, tier, model, and effort.

runs.jsonl schema

Identity & routing