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  license: apache-2.0
 
 
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  ---
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  - We release all of the text description data `text.tar.gz`; the trajectory data `data.tar.gz` with robot states, actions, DoF position, global position and global orientation informations.
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- - We release the train set split `train.txt`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ task_categories:
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+ - robotics
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  ---
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+ <div align="center">
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+ <h1> ALMI-X </h1>
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+ </div>
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+ <h5 align="center">
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+ <a href="#"> coming soon :) ...</a>
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+ </h5>
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+
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+ # Introduction of Dataset
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+
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  - We release all of the text description data `text.tar.gz`; the trajectory data `data.tar.gz` with robot states, actions, DoF position, global position and global orientation informations.
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+ - We release the train set split `train.txt`
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+
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+ Here we offer a simple demo code to introduce the data formats in the dataset:
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+
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+ ``` python
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+ import numpy as np
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+
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+ data = np.load("data_path"+"/xxx.npy", allow_pickle=True)
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+ data.item()['obs'] # [frame_nums, 71]
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+ data.item()['actions'] # [frame_nums, 21]
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+ data.item()['dof_pos'] # [frame_nums, 21]
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+ data.item()['root_trans'] # [frame_nums, 3]
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+ data.item()['root_rot'] # [frame_nums, 4]
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+
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+ ```
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+
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+ # Dataset Statistics
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+ Percentage of steps for different categories of motions before and after data augmentation.
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+ <br>
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+ ![Alt text](assets/text_expand.png)
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+ The visualization of $x-y$ coordinates of the robot for each step in the dataset. We down-sample the data for visualization.
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+ <br>
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+ ![Alt text](assets/text_expand.png)
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+
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+ # Dataset Collection Pipeline
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+
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+ coming soon...
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+
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+ # Citation
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+
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+ If you find our work helpful, please cite us:
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+
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+ ```bibtex
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+ coming soon...
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+ }