Yougen/lid_dataset

Language Identification (LID) speech dataset, packed as WebDataset tar shards.

Layout

data/
  train/
    metadata.csv
    audio/
      train-000.tar
      train-001.tar
      ...
  validation/
    metadata.csv
    audio/
      validation-000.tar
      ...
  test/
    metadata.csv
    audio/
      test-000.tar
      ...

Shard counts:

• train: 36 tar shard(s)
• validation: 4 tar shard(s)
• test: 23 tar shard(s)

Inside each tar, every sample is a pair sharing a unique key:

<key>.wav       # raw audio bytes
<key>.json      # {"id":..., "rel_path":..., "wav_format":..., "duration":..., "label_str":..., "label":...}

metadata.csv columns: key, shard, id, rel_path, wav_format, duration, label_str, label

Labels (17)

• music
• noise
• silence
• 其他语
• 哈语
• 失效链接
• 无人声
• 无法判断
• 汉语
• 混合语种
• 粤语
• 维语
• 英语
• 蒙语
• 藏语
• 难懂方言
• 韩语

Loading

from datasets import load_dataset

ds = load_dataset("Yougen/lid_dataset")
print(ds)
print(ds["train"][0])
# sample keys: 'wav' (decoded audio), 'json' (metadata), '__key__', '__url__'

For streaming (no full download needed):

ds = load_dataset("Yougen/lid_dataset", streaming=True)
for example in ds["train"]:
    print(example["__key__"], example["json"]["label_str"])
    break

HuggingFace's webdataset builder will automatically pair <key>.wav with <key>.json inside every tar and decode the audio.