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---
dataset_info:
features:
- name: audio
dtype: audio
- name: label
dtype:
class_label:
names:
'0': down
'1': 'on'
splits:
- name: train
num_bytes: 117237120.74
num_examples: 3706
- name: validation
num_bytes: 16469406.0
num_examples: 521
- name: test
num_bytes: 15996007.0
num_examples: 499
download_size: 135214158
dataset_size: 149702533.74
---
# Dataset Card for "down_on"
This is a demo dataset for acoustic classification, consisting of utterances of *down* and *on* extracted from the
`superb ks` dataset.
`down_on_hub.py` illustrates the methodology for creating such a dataset from wav files.
`down_on_copy.py` was used to write the wav files.
`down_on_create.py` is the more direct method.
See the model `MatsRooth/wav2vec2-base_down_on` for the demo application.
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