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End of preview. Expand in Data Studio
ARC-AGI-1 ZLoopViT Traces
Canonical intermediate grid trajectories for all 400 training tasks in ARC-AGI-1. Each row corresponds to one original official train or test pair; generated augmentations are not included.
Dataset contents
- 400 tasks
- 1,718 trajectories: 1,302 demonstration/train pairs and 416 test pairs
- 5,059 visible intermediate transitions
- Exact final-output validation on every official pair
Important columns:
task_id: official ARC task identifiertrain_or_test: whether the source pair is an official demonstration or test pairinput,output: original ARC gridssteps: ordered intermediate grid checkpointsevents: structured descriptions aligned one-to-one withstepstrace_id,tracer_version,tracer_sha256: trace provenance
The file summary.json contains aggregate and per-task trace statistics.
Construction and validation
Every task has one deterministic traced program. Each published trajectory was regenerated from its official ARC-AGI-1 input and required to end exactly at the official expected output. The traces were also reviewed through representative HTML filmstrips for transformation correctness, checkpoint granularity, and event label fidelity.
Generated RE-ARC or ARC-GEN examples were used only as stress-test evidence and are not rows in this dataset.
Two tasks have explicit generated-source exceptions while remaining exact on all official pairs:
a64e4611: 937/1,000 sampled ARC-GEN examples matched; clipped-edge labels can depend on hidden generator geometry.e5062a87: 624/1,000 sampled ARC-GEN examples matched; some sprite labels depend on hidden placement metadata not uniquely recoverable from the rendered grid.
These exceptions do not alter the official trajectories in this dataset.
Intended use
The dataset is intended for research on ARC intermediate supervision, learned refinement operators, latent step discovery, planner/refiner models, and trace alignment. Intermediate checkpoints are authored computational traces, not claims about a unique human reasoning process.
License and source
The underlying ARC-AGI data is distributed under Apache License 2.0. This traced derivative is released under the same license.
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