| --- |
| license: apache-2.0 |
| pretty_name: 1X World Model Challenge Dataset |
| size_categories: |
| - 10M<n<100M |
| viewer: false |
| --- |
| |
| # 1X World Model Compression Challenge Dataset |
| This repository hosts the dataset for the [1X World Model Compression Challenge](https://huggingface.co/spaces/1x-technologies/1X_World_Model_Challenge_Compression). |
|
|
| ```bash |
| 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](https://huggingface.co/datasets/1x-technologies/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 |
|
|
| --- |
|
|
| ## Train & Val v2.0 |
|
|
| ### Format |
|
|
| Each split is sharded: |
| - `video_{shard}.bin` — [NVIDIA Cosmos Tokenizer](https://github.com/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 |
|
|
|
|
| --- |
|
|
| ## Test v2.0 |
|
|
| We provide a 450 sample **test_v2.0** dataset for the [World Model Compression Challenge](https://huggingface.co/spaces/1x-technologies/1X_World_Model_Challenge_Compression) 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 `.bin`s 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. |
| |
| --- |
| |
| ## 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 |
| ``` |
