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README.md
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@@ -12,7 +12,46 @@ Download with:
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huggingface-cli download 1x-technologies/worldmodel --repo-type dataset --local-dir data
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```
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Current version:
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- **magvit2.ckpt** - weights for [MAGVIT2](https://github.com/TencentARC/Open-MAGVIT2) image tokenizer we used. We provide the encoder (tokenizer) and decoder (de-tokenizer) weights.
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@@ -25,7 +64,7 @@ Contents of train/val_v1.1:
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- **neck_desired** `(N, 1)`: Desired neck pitch.
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- **l_hand_closure** `(N, 1)`: Left hand closure state (0 = open, 1 = closed).
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- **r_hand_closure** `(N, 1)`: Right hand closure state (0 = open, 1 = closed).
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#### Index-to-Joint Mapping
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```
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{
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0: HIP_YAW
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huggingface-cli download 1x-technologies/worldmodel --repo-type dataset --local-dir data
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```
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Current version: v2.0
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Contents of train/val_v2.0
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- **videos** -
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- **segment_indicies** - For video `i` and frame `j`, `segment_idx_i[j]` uniquely points to the segment index that frame `j` came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
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- **robot_states** - States arrays defined in `Index-to-Joint Mapping` stored in `np.float32` format. For video `i` and frame `j`, the corresponding state is given by `states_i[j]`.
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- **metadata** - The `metadata.json` file provides high-level information about the entire dataset, while `metadata_[i].json` files contain specific details for each individual video `i`.
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#### Index-to-State Mapping (NEW)
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```
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{
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0: HIP_YAW
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1: HIP_ROLL
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2: HIP_PITCH
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3: KNEE_PITCH
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4: ANKLE_ROLL
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5: ANKLE_PITCH
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6: LEFT_SHOULDER_PITCH
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7: LEFT_SHOULDER_ROLL
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8: LEFT_SHOULDER_YAW
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9: LEFT_ELBOW_PITCH
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10: LEFT_ELBOW_YAW
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11: LEFT_WRIST_PITCH
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12: LEFT_WRIST_ROLL
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13: RIGHT_SHOULDER_PITCH
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14: RIGHT_SHOULDER_ROLL
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15: RIGHT_SHOULDER_YAW
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16: RIGHT_ELBOW_PITCH
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17: RIGHT_ELBOW_YAW
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18: RIGHT_WRIST_PITCH
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19: RIGHT_WRIST_ROLL
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20: NECK_PITCH
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21: Left hand closure state (0 = open, 1 = closed)
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22: Right hand closure state (0 = open, 1 = closed)
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23: Linear Velocity
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24: Angular Velocity
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}
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Previous version: v1.1
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- **magvit2.ckpt** - weights for [MAGVIT2](https://github.com/TencentARC/Open-MAGVIT2) image tokenizer we used. We provide the encoder (tokenizer) and decoder (de-tokenizer) weights.
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- **neck_desired** `(N, 1)`: Desired neck pitch.
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- **l_hand_closure** `(N, 1)`: Left hand closure state (0 = open, 1 = closed).
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- **r_hand_closure** `(N, 1)`: Right hand closure state (0 = open, 1 = closed).
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#### Index-to-Joint Mapping (OLD)
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```
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{
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0: HIP_YAW
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