tidybot

• Description:

• Homepage: https://github.com/jimmyyhwu/tidybot

• Source code: tfds.robotics.rtx.Tidybot

• Versions:

  • 0.1.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: 20.16 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	24

• Feature structure:

FeaturesDict({
    'episode_metadata': FeaturesDict({
        'file_path': string,
    }),
    'steps': Dataset({
        'action': string,
        'discount': Scalar(shape=(), dtype=float32),
        'is_first': bool,
        'is_last': bool,
        'is_terminal': bool,
        'language_embedding': Tensor(shape=(512,), dtype=float32),
        'language_instruction': string,
        'observation': FeaturesDict({
            'image': Image(shape=(360, 640, 3), dtype=uint8),
            'object': string,
            'receptacles': Sequence(string),
        }),
        'reward': Scalar(shape=(), dtype=float32),
    }),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
episode_metadata	FeaturesDict
episode_metadata/file_path	Tensor		string
steps	Dataset
steps/action	Tensor		string
steps/discount	Scalar		float32
steps/is_first	Tensor		bool
steps/is_last	Tensor		bool
steps/is_terminal	Tensor		bool
steps/language_embedding	Tensor	(512,)	float32
steps/language_instruction	Tensor		string
steps/observation	FeaturesDict
steps/observation/image	Image	(360, 640, 3)	uint8
steps/observation/object	Tensor		string
steps/observation/receptacles	Sequence(Tensor)	(None,)	string
steps/reward	Scalar		float32

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{wu2023tidybot,title = {TidyBot: Personalized Robot Assistance with Large Language Models},author = {Wu, Jimmy and Antonova, Rika and Kan, Adam and Lepert, Marion and Zeng, Andy and Song, Shuran and Bohg, Jeannette and Rusinkiewicz, Szymon and Funkhouser, Thomas},journal = {Autonomous Robots},year = {2023} }