README.md

---
dataset_info:
  features:
  - name: client_id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence_id
    dtype: string
  - name: sentence
    dtype: string
  - name: up_votes
    dtype: int64
  - name: down_votes
    dtype: int64
  - name: age
    dtype: string
  - name: gender
    dtype: string
  - name: accents
    dtype: string
  - name: variant
    dtype: float64
  - name: locale
    dtype: string
  splits:
  - name: validated_without_test
    num_bytes: 1225104973.706
    num_examples: 49402
  - name: test
    num_bytes: 144958326.717
    num_examples: 5013
  download_size: 1320268405
  dataset_size: 1370063300.423
configs:
- config_name: default
  data_files:
  - split: validated_without_test
    path: data/validated_without_test-*
  - split: test
    path: data/test-*
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- zh
pretty_name: Common Voice Corpus 19.0 Chinese (Taiwan)
---

# Common Voice Corpus 19.0 Chinese (Taiwan)

The `test` set is the same as the original test set, while `validated_without_test` includes all validated examples except those with sentence IDs that appear in the `test` set.

- `validated_without_test` has about 50,000 examples in total, equivalent to approximately 44 hours, and is intended for use as the training set.
- `test` has about 5,000 examples, which is approximately 5 hours.