---
license: mit
task_categories:
- reinforcement-learning
- robotics
language:
- en
pretty_name: Causality Two Room (Glitched Hue)
size_categories:
- 10K<n<100K
---

# robomotic/causality-two-room

This dataset contains trajectories collected in the `swm/GlitchedHueTwoRoom-v1`
environment for causal world-model experiments.

## What is inside

- `glitched_hue_tworoom.h5`: HDF5 dataset with trajectories and rendered frames.
- Includes observations, actions, rewards, episode indexing, variation values,
  and pixel renderings.

## How it was generated

Collection script:
- `scripts/data/collect_glitched_hue.py`

Configuration:
- `scripts/data/config/glitched_hue.yaml`

Command used:

```bash
python scripts/data/collect_glitched_hue.py num_traj=10000 seed=3072
```

Generation details:
- Total episodes: 10,000
- Pass 1: 5,000 episodes with blue background + teleport enabled
- Pass 2: 5,000 episodes with green background + teleport disabled
- Render size: 224x224
- File size: 9.09 GB
- Uploaded at (UTC): 2026-04-07 09:09:48

## Repository

- GitHub: https://github.com/epokhcs/stable-worldmodel

## Notes

The second background hue is green (not red) to preserve strong contrast with
the red agent in pixel observations.