---
configs:
- config_name: transitions
  default: true
  data_files:
  - split: train
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/transitions/train/*.parquet
  - split: validation
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/transitions/validation/*.parquet
  - split: test
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/transitions/test/*.parquet
- config_name: frames
  data_files:
  - split: assets
    path: trajectories/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/frames/assets/*.parquet
- config_name: episodes
  data_files:
  - split: train
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/episodes/train/*.parquet
  - split: validation
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/episodes/validation/*.parquet
  - split: test
    path: splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/episodes/test/*.parquet
- config_name: sessions
  data_files:
  - split: metadata
    path: trajectories/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/sessions/metadata/*.parquet
---
# Breakout checkpoint trajectories

500 episodes and 2,059,758 transitions, split 80/10/10 by whole evaluation-seed groups.
The same environment or policy seed never appears in different splits, including across checkpoints.
Every checkpoint contributes 40 train, 5 validation and 5 test episodes.

## Start here

[Browse the Breakout environment collection](https://huggingface.co/collections/tsilva/gradlab-breakout-atari2600-v0).

This dataset contains full-HUD Breakout trajectories from Checkpoint Monitoring of Run `gradlab-6127e81defbc9774d9a57a0ff55e2f6e`. It is observational data from saved Checkpoints, not Acceptance or a released Policy. This page currently presents an explicit train/validation/test view; the original unsplit snapshot remains at the immutable revision linked below.

Load `transitions` for actions and frame IDs, `frames` for shared lossless RGB images, `episodes` for boundaries and split membership, and `sessions` for Run and Checkpoint provenance. The code example below loads the transition splits.

This Run differs from the [larger full-HUD Checkpoint dataset](https://huggingface.co/datasets/tsilva/gradlab-breakout-c6d579da). The [separate collector dataset](https://huggingface.co/datasets/tsilva/gradlab-breakout-trajectories) masks the HUD.

| Split | Episodes | Transitions | Mean bricks | Mean shaped return | Mean length | First-wall successes |
|---|---:|---:|---:|---:|---:|---:|
| train | 400 | 1647968 | 85.60 | 87.87 | 4119.92 | 55 |
| validation | 50 | 206044 | 85.16 | 87.48 | 4120.88 | 7 |
| test | 50 | 205746 | 85.46 | 87.79 | 4114.92 | 7 |

Splits balance the brick-progress distribution first and also return and episode length.
Full method, seed assignments, distribution statistics, validation thresholds and source revision:
[split manifest](splits/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/manifest.json).

```python
from datasets import load_dataset
train = load_dataset("tsilva/gradlab-breakout-6127e81d", "transitions", split="train", streaming=True)
validation = load_dataset("tsilva/gradlab-breakout-6127e81d", "transitions", split="validation", streaming=True)
test = load_dataset("tsilva/gradlab-breakout-6127e81d", "transitions", split="test", streaming=True)
```

Frames remain deduplicated lossless WebP with the full unmasked HUD, and the trajectory
schemas and brick annotations are unchanged. `frames` uses the shared `assets` split;
`sessions` uses `metadata`. Join frame IDs from each split's transitions. Fit an
encoder or preprocessing only on training-referenced frames, not the entire frame pool.
Identical states can naturally recur across episodes; shared RGB IDs are counted in the manifest.
This is held-out-seed evaluation within one training run, not unseen-policy generalization.
Use validation for model selection and reserve the frozen test split for final evaluation.
Unavailable source facts remain null; `native_action_json` is the submitted provider action
index and `record_json` preserves the original internal encoding and transition evidence.
Session records preserve original episode provenance. Their original split assignment was null;
the episode table and split manifest define the new assignment.

The unsplit dataset remains available at [its immutable revision](https://huggingface.co/datasets/tsilva/gradlab-breakout-6127e81d/tree/efd5726b5786252b89242cb9fd104518628c1718).
Original R2 recordings and earlier HF files are preserved.

## Dataset schema

Trajectory schema **1**, contract fingerprint `3af3a3bf898395756eb357517276785695898d3b6f4cc584b59e971dc4d60bd6`. [Schema definition](trajectories/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/schema.json); [migration receipt](migrations/22284897f9fe400efa60772c7e47fc77c870f08b3869cc6d8202b9bac6b24636/manifest.json).

Migrated from [revision 79827bb](https://huggingface.co/datasets/tsilva/gradlab-breakout-6127e81d/tree/79827bb74fd7a881af7771f111770504c1565d0d). All table values, image bytes, episode assignments and split statistics were preserved and verified. Every Parquet shard carries the schema version, fingerprint and table identity.