CC BY-NC-SA 4.0
The publisher's licence restricts use to research and other non-commercial purposes.
huggingface-cli download 1x-technologies/world_model_raw_data --repo-type dataset --local-dir .100 shards plus 250 test samples. The publisher's own README command uses a hub id that does not resolve; this one does.
Specification, as published
- Hours (stated)
- 100 h
- Scale
- over 100 hours of vector-quantized image tokens and raw actions collected from operating EVE
- Task
- Other
- Environment
- Indoor – office
- Modality
- RGB, Proprioception, Actions
- Capture
- Egocentric
- In frame
- Robot hands
- Captured in
- North America
- Embodiment
- 1X EVE wheeled humanoid
- Frame rate
- 30 fps
- Resolution
- 512x512 (raw subset)
- Formats
- MP4, JSON
- Size
- 24 GB
- Hosted on
- Hugging Face
Figures are the publisher's own. Kinetic Blocks has not measured this dataset.
About this dataset
Data for the 1X World Model Challenge, collected from the EVE wheeled humanoid working in 1X offices. The main repo holds roughly 100 hours of video encoded as NVIDIA Cosmos discrete tokens at 30 Hz with matching 25-dimensional joint state vectors and train, val and test splits. A companion repo provides 100 shards of raw 512x512 MP4 video with the same state and segment files. The tokenized set is Apache 2.0 while the raw video set is CC BY-NC-SA 4.0, so commercial buyers must check which subset they need.
Publisher's own task names: world model compression challenge, sampling challenge, evaluation challenge, video prediction.
Links
What Kinetic Blocks did, and did not do
Indexed and linked from the publisher. Not hosted, verified or graded by Kinetic Blocks. The publisher's terms govern. The licence shown is the one stated on the publisher's page, linked above. Nothing on this page is a claim by Kinetic Blocks.
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