stanford_mask_vit_converted_externally_to_rlds

• Description:

Sawyer pushing and picking objects in a bin

• Homepage: https://arxiv.org/abs/2206.11894

• Source code: tfds.robotics.rtx.StanfordMaskVitConvertedExternallyToRlds

• Versions:

  • 0.1.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: 76.17 GiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

FeaturesDict({
    'episode_metadata': FeaturesDict({
        'file_path': Text(shape=(), dtype=string),
    }),
    'steps': Dataset({
        'action': Tensor(shape=(5,), dtype=float32),
        'discount': Scalar(shape=(), dtype=float32),
        'is_first': bool,
        'is_last': bool,
        'is_terminal': bool,
        'language_embedding': Tensor(shape=(512,), dtype=float32),
        'language_instruction': Text(shape=(), dtype=string),
        'observation': FeaturesDict({
            'end_effector_pose': Tensor(shape=(5,), dtype=float32),
            'finger_sensors': Tensor(shape=(1,), dtype=float32),
            'high_bound': Tensor(shape=(5,), dtype=float32),
            'image': Image(shape=(480, 480, 3), dtype=uint8),
            'low_bound': Tensor(shape=(5,), dtype=float32),
            'state': Tensor(shape=(15,), dtype=float32),
        }),
        'reward': Scalar(shape=(), dtype=float32),
    }),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe): Missing.

• Citation:

@inproceedings{gupta2022maskvit,
  title={MaskViT: Masked Visual Pre-Training for Video Prediction},
  author={Agrim Gupta and Stephen Tian and Yunzhi Zhang and Jiajun Wu and Roberto Martín-Martín and Li Fei-Fei},
  booktitle={International Conference on Learning Representations},
  year={2022}
}