baiklah

Membelah Contoh
'train' 5.208
  • Struktur fitur :
FeaturesDict({
    'episode_metadata': FeaturesDict({
        'file_path': string,
    }),
    '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({
            'gripper': Tensor(shape=(1,), dtype=float32),
            'quat': Tensor(shape=(4,), dtype=float32),
            'rot': Tensor(shape=(3,), dtype=float32),
            'state': Tensor(shape=(7,), dtype=float32),
            'wrist_image': Image(shape=(256, 256, 3), dtype=uint8),
            'xyz': Tensor(shape=(3,), dtype=float32),
        }),
        'reward': Scalar(shape=(), dtype=float32),
    }),
})
  • Dokumentasi fitur :
Fitur Kelas Membentuk Tipe D Keterangan
FiturDict
episode_metadata FiturDict
episode_metadata/file_path Tensor rangkaian
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/pegangan Tensor (1,) float32
langkah/pengamatan/quat Tensor (4,) float32
langkah/pengamatan/busukan Tensor (3,) float32
langkah/pengamatan/keadaan Tensor (7,) float32
langkah/pengamatan/wrist_image Gambar (256, 256, 3) uint8
langkah/pengamatan/xyz Tensor (3,) float32
langkah/hadiah Skalar float32
  • Kutipan :
@misc{shafiullah2023dobbe, title={On Bringing Robots Home}, author={Nur Muhammad Mahi Shafiullah and Anant Rai and Haritheja Etukuru and Yiqian Liu and Ishan Misra and Soumith Chintala and Lerrel Pinto}, year={2023}, eprint={2311.16098}, archivePrefix={arXiv}, primaryClass={cs.RO} }