dataset_info: | |
config_name: emnist-mnist | |
features: | |
- name: image | |
dtype: image | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': '0' | |
'1': '1' | |
'2': '2' | |
'3': '3' | |
'4': '4' | |
'5': '5' | |
'6': '6' | |
'7': '7' | |
'8': '8' | |
'9': '9' | |
splits: | |
- name: train | |
num_bytes: 25332252.0 | |
num_examples: 60000 | |
- name: test | |
num_bytes: 4230499.0 | |
num_examples: 10000 | |
download_size: 28641083 | |
dataset_size: 29562751.0 | |
configs: | |
- config_name: emnist-mnist | |
data_files: | |
- split: train | |
path: emnist-mnist/train-* | |
- split: test | |
path: emnist-mnist/test-* | |
default: true | |
# Dataset Card for "emnist-mnist" | |
## Dataset Information | |
The `emnist-mnist` dataset is a set of images of handwritten digits. The dataset is split into a training set and a test set. | |
## Data Fields | |
- `image`: The image of the handwritten digit. The data type of this field is `image`. | |
- `label`: The label of the handwritten digit. The data type of this field is `class_label`, and it can take on the values '0' to '9'. | |
## Data Splits | |
- `train`: The training set consists of 60000 examples, with a total size of 25579752 bytes. | |
- `test`: The test set consists of 10000 examples, with a total size of 4271749 bytes. | |