menjembatani

Keterangan :

WidowX berinteraksi dengan dapur mainan

Beranda : https://rail-berkeley.github.io/bridgedata/
Kode sumber : tfds.robotics.rtx.Bridge
Versi :
- 0.1.0 (default): Rilis awal.
Ukuran unduhan : Unknown size
Ukuran kumpulan data : 387.49 GiB
Cache otomatis ( dokumentasi ): Tidak
Perpecahan :

Membelah	Contoh
`'test'`	3.475
`'train'`	25.460

Struktur fitur :

FeaturesDict({
    'episode_metadata': FeaturesDict({
        'episode_id': Scalar(shape=(), dtype=int32),
        'file_path': string,
        'has_image_0': Scalar(shape=(), dtype=bool),
        'has_image_1': Scalar(shape=(), dtype=bool),
        'has_image_2': Scalar(shape=(), dtype=bool),
        'has_image_3': Scalar(shape=(), dtype=bool),
        'has_language': Scalar(shape=(), dtype=bool),
    }),
    'steps': Dataset({
        'action': Tensor(shape=(7,), 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': string,
        'observation': FeaturesDict({
            'image_0': Image(shape=(256, 256, 3), dtype=uint8),
            'image_1': Image(shape=(256, 256, 3), dtype=uint8),
            'image_2': Image(shape=(256, 256, 3), dtype=uint8),
            'image_3': Image(shape=(256, 256, 3), dtype=uint8),
            'state': Tensor(shape=(7,), dtype=float32),
        }),
        'reward': Scalar(shape=(), dtype=float32),
    }),
})

Dokumentasi fitur :

Fitur	Kelas	Membentuk	Tipe D
	FiturDict
episode_metadata	FiturDict
episode_metadata/episode_id	Skalar		int32
episode_metadata/file_path	Tensor		rangkaian
episode_metadata/has_image_0	Skalar		bodoh
episode_metadata/has_image_1	Skalar		bodoh
episode_metadata/has_image_2	Skalar		bodoh
episode_metadata/has_image_3	Skalar		bodoh
episode_metadata/has_bahasa	Skalar		bodoh
Langkah	Himpunan data
langkah/tindakan	Tensor	(7,)	float32
langkah/diskon	Skalar		float32
langkah/adalah_pertama	Tensor		bodoh
langkah/adalah_terakhir	Tensor		bodoh
langkah/is_terminal	Tensor		bodoh
langkah/bahasa_embedding	Tensor	(512,)	float32
langkah/bahasa_instruksi	Tensor		rangkaian
langkah/pengamatan	FiturDict
langkah/pengamatan/gambar_0	Gambar	(256, 256, 3)	uint8
langkah/pengamatan/gambar_1	Gambar	(256, 256, 3)	uint8
langkah/pengamatan/gambar_2	Gambar	(256, 256, 3)	uint8
langkah/pengamatan/gambar_3	Gambar	(256, 256, 3)	uint8
langkah/pengamatan/keadaan	Tensor	(7,)	float32
langkah/hadiah	Skalar		float32

Kunci yang diawasi (Lihat dokumen as_supervised ): None
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ):

Kutipan :

@inproceedings{walke2023bridgedata,
    title={BridgeData V2: A Dataset for Robot Learning at Scale},
    author={Walke, Homer and Black, Kevin and Lee, Abraham and Kim, Moo Jin and Du, Max and Zheng, Chongyi and Zhao, Tony and Hansen-Estruch, Philippe and Vuong, Quan and He, Andre and Myers, Vivek and Fang, Kuan and Finn, Chelsea and Levine, Sergey},
    booktitle={Conference on Robot Learning (CoRL)},
    year={2023}
}