conq_hose_manipulation

  • Keterangan :

Kumpulan data manipulasi seluler

Membelah Contoh
'train' 113
'val' 26
  • 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({
           
'frontleft_fisheye_image': Image(shape=(726, 604, 3), dtype=uint8),
           
'frontright_fisheye_image': Image(shape=(726, 604, 3), dtype=uint8),
           
'hand_color_image': Image(shape=(480, 640, 3), dtype=uint8),
           
'state': Tensor(shape=(66,), 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/frontleft_fisheye_image Gambar (726, 604, 3) uint8
langkah/pengamatan/frontright_fisheye_image Gambar (726, 604, 3) uint8
langkah/pengamatan/gambar_warna_tangan Gambar (480, 640, 3) uint8
langkah/pengamatan/keadaan Tensor (66,) float32
langkah/hadiah Skalar float32
  • Kutipan :
@misc{ConqHoseManipData,
author
={Peter Mitrano and Dmitry Berenson},
title
={Conq Hose Manipulation Dataset, v1.15.0},
year
={2024},
howpublished
={https://sites.google.com/view/conq-hose-manipulation-dataset}
}