Datasets:

MinghaoFu
/

lewm-original

license: mit
task_categories:
  - reinforcement-learning
  - robotics
tags:
  - world-models
  - le-wm
  - imitation-learning
  - arxiv:2603.19312
pretty_name: LeWM Original Benchmark Datasets (PushT / Cube / TwoRooms / Reacher)

LeWM — Original Benchmark Datasets (4-in-one)

The four original benchmark datasets from LeWorldModel (LeWM) (project page, arXiv:2603.19312), collected in a single repo for convenience. These are the pure-original published archives, byte-identical (SHA-256 verified) to the upstream quentinll/lewm-* sources.

Task	File	Size	Format
PushT	`pusht_expert_train.h5.zst`	13.1 GB	zstd-compressed swm-HDF5
Cube (single)	`cube_single_expert.tar.zst`	46.2 GB	zstd `.tar` archive
TwoRooms	`tworoom.tar.zst`	3.4 GB	zstd `.tar` archive
Reacher	`reacher.tar.zst`	23.8 GB	zstd `.tar` archive

Provenance

Mirrored from the authoritative upstream repos, each file content-hash (SHA-256) verified against its source:

quentinll/lewm-pusht → pusht_expert_train.h5.zst
quentinll/lewm-cube → cube_single_expert.tar.zst
quentinll/lewm-tworooms → tworoom.tar.zst
quentinll/lewm-reacher → reacher.tar.zst

Decompress

# PushT — a single .h5 inside the zstd wrapper
zstd -d pusht_expert_train.h5.zst

# the three tar.zst archives
tar --use-compress-program=unzstd -xf cube_single_expert.tar.zst
tar --use-compress-program=unzstd -xf tworoom.tar.zst
tar --use-compress-program=unzstd -xf reacher.tar.zst

PushT is directly loadable by stable-worldmodel as swm-HDF5; the other three are the raw collected archives.

License

MIT, inherited from the upstream LeWM release.