---
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.