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