1x-technologies/world_model_tokenized_data

1X World Model Compression Challenge Dataset

This repository hosts the dataset for the 1X World Model Compression Challenge.

huggingface-cli download 1x-technologies/worldmodel --repo-type dataset --local-dir data

Updates Since v1.1

• Train/Val v2.0 (~100 hours), replacing v1.1
• Test v2.0 dataset for the Compression Challenge
• Faces blurred for privacy
• New raw video dataset (CC-BY-NC-SA 4.0) at worldmodel_raw_data
• Example scripts now split into:
  • cosmos_video_decoder.py — for decoding Cosmos Tokenized bins
  • unpack_data_test.py — for reading the new test set
  • unpack_data_train_val.py — for reading the train/val sets

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Train & Val v2.0

Format

Each split is sharded:

• video_{shard}.bin — NVIDIA Cosmos Tokenizer discrete DV8×8×8 tokens at 30 Hz
• segment_idx_{shard}.bin — segment boundaries
• states_{shard}.bin — np.float32 states (see below)
• metadata.json / metadata_{shard}.json — overall vs. per‐shard metadata

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Test v2.0

We provide a 450 sample test_v2.0 dataset for the World Model Compression Challenge with a similar structure (video_{shard}.bin, states_{shard}.bin). Use: - unpack_data_test.py to read the test set - unpack_data_train_val.py to read train/val

State Index Definition (New)

 0: HIP_YAW
 1: HIP_ROLL
 2: HIP_PITCH
 3: KNEE_PITCH
 4: ANKLE_ROLL
 5: ANKLE_PITCH
 6: LEFT_SHOULDER_PITCH
 7: LEFT_SHOULDER_ROLL
 8: LEFT_SHOULDER_YAW
 9: LEFT_ELBOW_PITCH
10: LEFT_ELBOW_YAW
11: LEFT_WRIST_PITCH
12: LEFT_WRIST_ROLL
13: RIGHT_SHOULDER_PITCH
14: RIGHT_SHOULDER_ROLL
15: RIGHT_SHOULDER_YAW
16: RIGHT_ELBOW_PITCH
17: RIGHT_ELBOW_YAW
18: RIGHT_WRIST_PITCH
19: RIGHT_WRIST_ROLL
20: NECK_PITCH
21: Left hand closure (0= open, 1= closed)
22: Right hand closure (0= open, 1= closed)
23: Linear Velocity
24: Angular Velocity

Previous v1.1

• video.bin — 16×16 patches at 30Hz, quantized
• segment_ids.bin — segment boundaries
• actions/ folder storing multiple .bins for states, closures, etc.

v1.1 Joint Index

 {
      0: HIP_YAW
      1: HIP_ROLL
      2: HIP_PITCH
      3: KNEE_PITCH
      4: ANKLE_ROLL
      5: ANKLE_PITCH
      6: LEFT_SHOULDER_PITCH
      7: LEFT_SHOULDER_ROLL
      8: LEFT_SHOULDER_YAW
      9: LEFT_ELBOW_PITCH
      10: LEFT_ELBOW_YAW
      11: LEFT_WRIST_PITCH
      12: LEFT_WRIST_ROLL
      13: RIGHT_SHOULDER_PITCH
      14: RIGHT_SHOULDER_ROLL
      15: RIGHT_SHOULDER_YAW
      16: RIGHT_ELBOW_PITCH
      17: RIGHT_ELBOW_YAW
      18: RIGHT_WRIST_PITCH
      19: RIGHT_WRIST_ROLL
      20: NECK_PITCH
  }

A separate `val_v1.1` set is available.

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## Provided Checkpoints

- `magvit2.ckpt` from [MAGVIT2](https://github.com/TencentARC/Open-MAGVIT2) used in v1.1
- For v2.0, see [NVIDIA Cosmos Tokenizer](https://github.com/NVIDIA/Cosmos-Tokenizer); we supply `cosmos_video_decoder.py`.

---

## Directory Structure Example

train_v1.1/ val_v1.1/ train_v2.0/ val_v2.0/ test_v2.0/ ├── video_{shard}.bin ├── states_{shard}.bin ├── ... ├── metadata_{shard}.json cosmos_video_decoder.py unpack_data_test.py unpack_data_train_val.py

**License**: [Apache-2.0](./LICENSE)  
**Author**: 1X Technologies