README.md

metadata

license: cc-by-4.0
pretty_name: Dream Engine — example frames
size_categories:
  - n<1K
task_categories:
  - image-to-video
tags:
  - synthetic
  - test-fixture
  - dream-engine
annotations_creators:
  - machine-generated

Dream Engine — example frames

Tiny synthetic test fixture used by the Dream Engine Python SDK's dream.io module. This is not real teleop data — start frames are colour gradients and action sequences are uniform random in [-1, 1]. The only purpose is to give the bulk-inference docs + tests a real public dataset to point frames_from_hf(...) at.

Layout

field	type	shape	content
row_id	string	—	synth_000 – synth_015
start_frame	Image	480 × 640 RGB	gradient
action_sequence	sequence-of-sequences[float32]	(48, 384)	random uniform

Used by

• The Bulk inference quickstart in the Dream Engine docs.
• The Bulk augmentation example walkthrough + companion Colab notebook.
• test_io_hf.py in the dream-engine SDK test suite.

Replace this with your own data

Each row's start_frame should be a real RGB starting frame for the spec you target (480 × 640 for dreamdojo-2b-gr1); each action_sequence should be a real action sequence shaped (T, action_dim) matching the spec's expected control space.

Generated by scripts/seed_example_dataset.py in the dream-engine repo.