Keterangan :
Beranda : https://spoc-robot.github.io/
Kode sumber :
tfds.robotics.rtx.SpocRobot
Versi :
-
0.1.0
(default): Rilis awal.
-
Ukuran unduhan :
Unknown size
Ukuran kumpulan data :
771.61 GiB
Cache otomatis ( dokumentasi ): Tidak
Perpecahan :
Membelah | Contoh |
---|---|
'train' | 212.043 |
'val' | 21.108 |
- Struktur fitur :
FeaturesDict({
'episode_metadata': FeaturesDict({
'file_path': string,
'task_target_split': string,
'task_type': string,
}),
'steps': Dataset({
'action': Tensor(shape=(9,), dtype=float32),
'discount': Scalar(shape=(), dtype=float32),
'is_first': bool,
'is_last': bool,
'is_terminal': bool,
'language_instruction': string,
'observation': FeaturesDict({
'an_object_is_in_hand': Scalar(shape=(), dtype=bool),
'house_index': Scalar(shape=(), dtype=int64),
'hypothetical_task_success': Scalar(shape=(), dtype=bool),
'image': Image(shape=(224, 384, 3), dtype=uint8),
'image_manipulation': Image(shape=(224, 384, 3), dtype=uint8),
'last_action_is_random': Scalar(shape=(), dtype=bool),
'last_action_str': string,
'last_action_success': Scalar(shape=(), dtype=bool),
'last_agent_location': Tensor(shape=(6,), dtype=float32),
'manip_object_bbox': Tensor(shape=(10,), dtype=float32),
'minimum_l2_target_distance': Scalar(shape=(), dtype=float32),
'minimum_visible_target_alignment': Scalar(shape=(), dtype=float32),
'nav_object_bbox': Tensor(shape=(10,), dtype=float32),
'relative_arm_location_metadata': Tensor(shape=(4,), dtype=float32),
'room_current_seen': Scalar(shape=(), dtype=bool),
'rooms_seen': Scalar(shape=(), dtype=int64),
'visible_target_4m_count': Scalar(shape=(), dtype=int64),
}),
'reward': Scalar(shape=(), dtype=float32),
}),
})
- Dokumentasi fitur :
Fitur | Kelas | Membentuk | Tipe D | Keterangan |
---|---|---|---|---|
FiturDict | ||||
episode_metadata | FiturDict | |||
episode_metadata/file_path | Tensor | rangkaian | ||
episode_metadata/task_target_split | Tensor | rangkaian | ||
episode_metadata/task_type | Tensor | rangkaian | ||
Langkah | Himpunan data | |||
langkah/tindakan | Tensor | (9,) | float32 | |
langkah/diskon | Skalar | float32 | ||
langkah/adalah_pertama | Tensor | bodoh | ||
langkah/adalah_terakhir | Tensor | bodoh | ||
langkah/is_terminal | Tensor | bodoh | ||
langkah/bahasa_instruksi | Tensor | rangkaian | ||
langkah/pengamatan | FiturDict | |||
langkah/pengamatan/an_object_is_in_hand | Skalar | bodoh | ||
langkah/pengamatan/house_index | Skalar | int64 | ||
langkah/pengamatan/hipotetis_tugas_sukses | Skalar | bodoh | ||
langkah/pengamatan/gambar | Gambar | (224, 384, 3) | uint8 | |
langkah/pengamatan/manipulasi_gambar | Gambar | (224, 384, 3) | uint8 | |
langkah/pengamatan/last_action_is_random | Skalar | bodoh | ||
langkah/pengamatan/last_action_str | Tensor | rangkaian | ||
langkah/pengamatan/last_action_success | Skalar | bodoh | ||
langkah/pengamatan/last_agent_location | Tensor | (6,) | float32 | |
langkah/pengamatan/manip_object_bbox | Tensor | (10,) | float32 | |
langkah/pengamatan/minimum_l2_target_distance | Skalar | float32 | ||
langkah/pengamatan/minimum_visible_target_alignment | Skalar | float32 | ||
langkah/pengamatan/nav_object_bbox | Tensor | (10,) | float32 | |
langkah/pengamatan/relative_arm_location_metadata | Tensor | (4,) | float32 | |
langkah/observasi/ruangan_saat ini_dilihat | Skalar | bodoh | ||
langkah/pengamatan/ruangan_dilihat | Skalar | int64 | ||
langkah/pengamatan/visibel_target_4m_count | Skalar | int64 | ||
langkah/hadiah | Skalar | float32 |
Kunci yang diawasi (Lihat dokumen
as_supervised
):None
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ): Tidak ada.
Kutipan :
@article{spoc2023,
author = {Kiana Ehsani, Tanmay Gupta, Rose Hendrix, Jordi Salvador, Luca Weihs, Kuo-Hao Zeng, Kunal Pratap Singh, Yejin Kim, Winson Han, Alvaro Herrasti, Ranjay Krishna, Dustin Schwenk, Eli VanderBilt, Aniruddha Kembhavi},
title = {Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World},
journal = {arXiv},
year = {2023},
eprint = {2312.02976},
}