datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wuw_dataset
Yougen/wuw_dataset
Wake-Up-Word (WUW) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where multiple
utterances share a long recording via the segments file.
To avoid duplicating audio, each tar sample corresponds to one full
recording. The utterance-level metadata (id / start / end / text / spk / duration) is stored in a JSON list inside that sample.
Downstream consumers slice the decoded… See the full description on the dataset page: https://huggingface.co/datasets/bhyuan/wuw_dataset.wuw_min
ygyuan/wuw_min
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
train: 65 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw audio… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/wuw_min.wuw_cszhen
ygyuan/wuw_cszhen
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
train: 712 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw audio… See the full description on the dataset page: https://huggingface.co/datasets/heimayuan/wuw_cszhen.wuw_accent
ygyuan/wuw_accent
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
train: 509 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw audio… See the full description on the dataset page: https://huggingface.co/datasets/Yougen/wuw_accent.wuw_wuy
ygyuan/wuw_wuy
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
train: 99 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw audio… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/wuw_wuy.wuw_testset1
Yougen/wuw_testset1
Wake-Up-Word (WUW) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where multiple
utterances share a long recording via the segments file.
To avoid duplicating audio, each tar sample corresponds to one full
recording. The utterance-level metadata (id / start / end / text / spk / duration) is stored in a JSON list inside that sample.
Downstream consumers slice the decoded… See the full description on the dataset page: https://huggingface.co/datasets/heimayuan/wuw_testset1.