---
license: apache-2.0
task_categories:
- image-to-image
language:
- en
tags:
- arc-agi
- abstract-reasoning
- intermediate-reasoning
- visual-reasoning
pretty_name: ARC-AGI-1 ZLoopViT Traces
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train.jsonl
---

# 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 identifier
- `train_or_test`: whether the source pair is an official demonstration or test pair
- `input`, `output`: original ARC grids
- `steps`: ordered intermediate grid checkpoints
- `events`: structured descriptions aligned one-to-one with `steps`
- `trace_id`, `tracer_version`, `tracer_sha256`: trace provenance
- `Z_steps_k_4`, `Z_steps_k_8`, `Z_steps_k_16`, `Z_steps_k_32`: latent transition-token sequences aligned one-to-one with `steps`

The file `summary.json` contains aggregate export statistics and effective code counts.

For every row and every available K, `len(Z_steps_k_K) == len(steps)`. The
K=8 and K=16 models use 7 and 12 effective codes respectively; their unused
nominal token IDs do not appear in the corresponding columns.

## 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.