---
license: other
task_categories:
  - automatic-speech-recognition
pretty_name: WUW Dataset
configs:
  - config_name: default
    data_files:
      - split: train
        path: "data/train/audio/*.tar"
tags:
  - audio
  - speech
  - wake-up-word
  - wuw
  - webdataset
---

# 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 waveform by `[start*sr : end*sr]`
themselves.

## Layout

```
data/
  <split>/
    metadata.csv          # flattened utterance-level table
    audio/
      <split>-000.tar
      <split>-001.tar
      ...
```

Shard counts:

- `train`: 3746 tar shard(s)

Inside each tar, every sample is a pair sharing a unique key:
```
<key>.wav       # raw recording bytes (original format preserved)
<key>.json      # {"rec_id":..., "rel_path":..., "wav_format":"wav",
                #   "segments": [
                #      {"id":..., "start":..., "end":...,
                #        "text":..., "spk":..., "duration":...},
                #      ...
                #   ]}
```

`metadata.csv` columns (one row per utterance):
`key, shard, rec_id, rel_path, wav_format, id, start, end, duration, text, spk`

## Loading

```python
from datasets import load_dataset

ds = load_dataset("Yougen/wuw_testset1")
ex = ds["train"][0]
wav_array = ex["wav"]["array"]
sr = ex["wav"]["sampling_rate"]
for seg in ex["json"]["segments"]:
    s = int(seg["start"] * sr)
    e = int(seg["end"]   * sr)
    print(seg["id"], seg["text"], wav_array[s:e].shape)
```

Streaming:

```python
ds = load_dataset("Yougen/wuw_testset1", streaming=True)
for example in ds["train"]:
    print(example["__key__"], len(example["json"]["segments"]))
    break
```