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Datasets:
robomotic
/
causality-two-room-modal

Tasks:
Reinforcement Learning
Robotics
Modalities:
Video
Languages:
English
Size:
< 1K
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metadata 
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-modal

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:

python scripts/data/collect_glitched_hue.py num_traj=10000 seed=3072 world.num_envs=10

Generation details:

  • Total episodes: 20000
  • Total frames: 1225533
  • Pixel shape: (1225533, 224, 224, 3)
  • Teleport events: 3166
  • File size: 18.18 GB
  • Uploaded at (UTC): 2026-04-20 18:25:55

Repository

Notes

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