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---
pretty_name: WTFO Code-Switching Speech
license: other
task_categories:
- automatic-speech-recognition
language:
- zh
- en
tags:
- audio
- speech
- code-switching
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: duration
dtype: float64
splits:
- name: train
num_bytes: 11550292741
num_examples: 98662
download_size: 11517079495
dataset_size: 11550292741
---
# WTFO Code-Switching Speech
Code-switching speech dataset prepared for automatic speech recognition training.
## Dataset fields
- `audio`: self-contained 16 kHz mono PCM16 FLAC bytes using the Hugging Face `Audio` feature
- `text`: transcript
- `duration`: audio duration in seconds (`float64`)
## Split summary
- Split: `train`
- Examples: 98,662
- Total duration: 567422.698 seconds (157.62 hours)
The Parquet shards embed the audio bytes. They do not depend on the original local file paths.
## JSONL manifest
`metadata/text_audio_pairs.jsonl` contains `text`, `audio_filepath`, `duration`, and `lang`. All rows use `lang: "<|NAN|>"`.