eurecom-ds/shapes3d-small-x0-sigma

---
dataset_info:
- config_name: '42'
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 4243281.0
num_examples: 371
download_size: 4240889
dataset_size: 4243281.0
- config_name: t_0.01_test
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 1430183.0
num_examples: 371
download_size: 1459468
dataset_size: 1430183.0
- config_name: t_0.01_train
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 941198.0
num_examples: 246
download_size: 962900
dataset_size: 941198.0
- config_name: t_0.01_val
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 579784.0
num_examples: 150
download_size: 597715
dataset_size: 579784.0
- config_name: t_0.99_test
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 4243281.0
num_examples: 371
download_size: 4240889
dataset_size: 4243281.0
- config_name: t_0.99_train
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 2815000.0
num_examples: 246
download_size: 2816253
dataset_size: 2815000.0
- config_name: t_0.99_val
features:
- name: image
dtype: image
- name: label_floor_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_object_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: label_orientation
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
- name: label_scale
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
- name: label_shape
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
- name: label_wall_hue
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
- name: value_floor_hue
dtype: float32
- name: value_object_hue
dtype: float32
- name: value_orientation
dtype: float32
- name: value_scale
dtype: float32
- name: value_shape
dtype: float32
- name: value_wall_hue
dtype: float32
splits:
- name: train
num_bytes: 1718617.0
num_examples: 150
download_size: 1721735
dataset_size: 1718617.0
configs:
- config_name: '42'
data_files:
- split: train
path: 42/train-*
- config_name: t_0.01_test
data_files:
- split: train
path: t_0.01_test/train-*
- config_name: t_0.01_train
data_files:
- split: train
path: t_0.01_train/train-*
- config_name: t_0.01_val
data_files:
- split: train
path: t_0.01_val/train-*
- config_name: t_0.99_test
data_files:
- split: train
path: t_0.99_test/train-*
- config_name: t_0.99_train
data_files:
- split: train
path: t_0.99_train/train-*
- config_name: t_0.99_val
data_files:
- split: train
path: t_0.99_val/train-*
---