|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
dataset_info: |
|
features: |
|
- name: speaker_id |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 16000 |
|
- name: digit |
|
dtype: string |
|
- name: gender |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1432649160.0 |
|
num_examples: 24000 |
|
- name: test |
|
num_bytes: 373964850.0 |
|
num_examples: 6000 |
|
download_size: 1483284747 |
|
dataset_size: 1806614010.0 |
|
license: mit |
|
task_categories: |
|
- audio-classification |
|
language: |
|
- en |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# Dataset Card for "AudioMNIST" |
|
|
|
### Citation Information |
|
The original creators of the dataset ask you to cite [their paper](https://arxiv.org/abs/1807.03418) if you use this data: |
|
|
|
``` |
|
@ARTICLE{becker2018interpreting, |
|
author = {Becker, S\"oren and Ackermann, Marcel and Lapuschkin, Sebastian and M\"uller, Klaus-Robert and Samek, Wojciech}, |
|
title = {Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals}, |
|
journal = {CoRR}, |
|
volume = {abs/1807.03418}, |
|
year = {2018}, |
|
archivePrefix = {arXiv}, |
|
eprint = {1807.03418}, |
|
} |
|
``` |