metadata
dataset_info:
- 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: 1382117
num_examples: 371
download_size: 1466746
dataset_size: 1382117
- 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: 916599
num_examples: 246
download_size: 983155
dataset_size: 916599
- 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: 558884
num_examples: 150
download_size: 605621
dataset_size: 558884
- config_name: t_0.1_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: 1383071
num_examples: 371
download_size: 1467989
dataset_size: 1383071
- config_name: t_0.1_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: 916833
num_examples: 246
download_size: 983454
dataset_size: 916833
- config_name: t_0.1_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: 559412
num_examples: 150
download_size: 606171
dataset_size: 559412
- config_name: t_0.2_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: 1386566
num_examples: 371
download_size: 1471703
dataset_size: 1386566
- config_name: t_0.2_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: 919645
num_examples: 246
download_size: 986327
dataset_size: 919645
- 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: 1291733
num_examples: 371
download_size: 1327582
dataset_size: 1291733
- 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: 872116
num_examples: 246
download_size: 770493
dataset_size: 872116
- 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: 526749
num_examples: 150
download_size: 498333
dataset_size: 526749
- config_name: t_0.9_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: 1291733
num_examples: 371
download_size: 1327582
dataset_size: 1291733
- config_name: t_0.9_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: 872116
num_examples: 246
download_size: 770493
dataset_size: 872116
- config_name: t_0.9_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: 526749
num_examples: 150
download_size: 498333
dataset_size: 526749
configs:
- 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_0.1_test
data_files:
- split: train
path: t_0.1_test/train-*
- config_name: t_0.1_train
data_files:
- split: train
path: t_0.1_train/train-*
- config_name: t_0.1_val
data_files:
- split: train
path: t_0.1_val/train-*
- config_name: t_0.2_test
data_files:
- split: train
path: t_0.2_test/train-*
- config_name: t_0.2_train
data_files:
- split: train
path: t_0.2_train/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-*
- config_name: t_0.9_test
data_files:
- split: train
path: t_0.9_test/train-*
- config_name: t_0.9_train
data_files:
- split: train
path: t_0.9_train/train-*
- config_name: t_0.9_val
data_files:
- split: train
path: t_0.9_val/train-*