---
dataset_info:
  features:
  - name: sex
    dtype: string
  - name: duration
    dtype: float64
  - name: transcript
    dtype: string
  - name: audio
    dtype: audio
  - name: id
    dtype: int64
  splits:
  - name: train
    num_bytes: 13262971934.88
    num_examples: 65120
  - name: validation
    num_bytes: 1164972031.672
    num_examples: 5663
  - name: test
    num_bytes: 2537956206.612
    num_examples: 12492
  download_size: 14740834520
  dataset_size: 16965900173.163998
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
[![Datasets](https://img.shields.io/badge/dataset-MDCC-blue)](https://huggingface.co/datasets/ming030890/mdcc)

# MDCC: A New Cantonese ASR Dataset

## 📦 Update [1 Feb, 2024]

The `.wav` data of the dataset is available here:  
🔗 [Google Drive Link](https://drive.google.com/file/d/1epfYMMhXdBKA6nxPgUugb2Uj4DllSxkn/view?usp=drive_link)  
**Note:** For research purposes only.

---

## 📖 Overview

MDCC (“**M**ulti-**D**omain **C**antonese **C**orpus”) is a large-scale Cantonese automatic speech recognition (ASR) dataset compiled from multiple domains. It provides:

- **Audio**: `.wav` recordings of spontaneous and read speech  
- **Transcript**: UTF‑8 plain‑text transcripts  
- **Speaker metadata**: sex  
- **Duration**: audio length in seconds

This repo contains metadata files and a conversion script to turn the data into a Hugging Face-compatible dataset.

Unlike ming030890/cantonese_asr_eval_mdcc_long, this repo only keeps audio segments that are longer than 8 seconds.

---

## 📝 Paper & Citation

Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia,  
Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi & Pascale Fung  
**“Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset”**  
📄 [arXiv:2201.02419](https://arxiv.org/pdf/2201.02419.pdf)

```bibtex
@misc{yu2022automatic,
  title        = {Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset},
  author       = {Tiezheng Yu and Rita Frieske and Peng Xu and Samuel Cahyawijaya and
                  Cheuk Tung Shadow Yiu and Holy Lovenia and Wenliang Dai and
                  Elham J. Barezi and Qifeng Chen and Xiaojuan Ma and
                  Bertram E. Shi and Pascale Fung},
  year         = {2022},
  eprint       = {2201.02419},
  archivePrefix= {arXiv},
  primaryClass = {cs.CL}
}
```
---

## 🚀 How to Load on Hugging Face

```python
from datasets import load_dataset

ds = load_dataset("ming030890/cantonese_asr_eval_mdcc_long ")
print(ds["test"][0])
```

Example output:
```python
{
  'audio': {
    'path': '/path/to/audio.wav',
    'array': [...],
    'sampling_rate': 16000
  },
  'transcript': '你好，歡迎收聽…',
  'sex': 'female',
  'duration': 3.08
}
```

---

## 🔓 License & Access

1. Review the `MDCC_LICENSE` file in this repo.
2. Sign it and send to **chinatysonyu@gmail.com**.
3. Then download the dataset here:  
   🔗 [Google Drive Folder](https://drive.google.com/drive/folders/1HhNqrPpUTtjsJ0wZQCSKqet7ftmWb6eI?usp=sharing)

---

## ✅ Checkpoints

Download pretrained models here:  
🔗 [Checkpoints Google Drive](https://drive.google.com/drive/folders/1BpGGOfr4IDYv0cWTowsDKkVmud7tNYzy?usp=sharing)

---

## ⚠️ Disclaimer

I am **not the original author** of the dataset or the research paper.  
This repo only provides a Hugging Face-compatible version of the public MDCC data.

For the original codebase and documentation, refer to:  
🔗 https://github.com/HLTCHKUST/cantonese-asr