| --- |
| 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 |
| ``` |
|
|