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--- |
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dataset_info: |
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features: |
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- name: sex |
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dtype: string |
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- name: duration |
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dtype: float64 |
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- name: transcript |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: id |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 13262971934.88 |
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num_examples: 65120 |
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- name: validation |
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num_bytes: 1164972031.672 |
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num_examples: 5663 |
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- name: test |
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num_bytes: 2537956206.612 |
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num_examples: 12492 |
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download_size: 14740834520 |
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dataset_size: 16965900173.163998 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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[](https://huggingface.co/datasets/ming030890/mdcc) |
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# MDCC: A New Cantonese ASR Dataset |
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## 📦 Update [1 Feb, 2024] |
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The `.wav` data of the dataset is available here: |
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🔗 [Google Drive Link](https://drive.google.com/file/d/1epfYMMhXdBKA6nxPgUugb2Uj4DllSxkn/view?usp=drive_link) |
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**Note:** For research purposes only. |
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--- |
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## 📖 Overview |
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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: |
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- **Audio**: `.wav` recordings of spontaneous and read speech |
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- **Transcript**: UTF‑8 plain‑text transcripts |
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- **Speaker metadata**: sex |
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- **Duration**: audio length in seconds |
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This repo contains metadata files and a conversion script to turn the data into a Hugging Face-compatible dataset. |
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--- |
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## 📝 Paper & Citation |
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Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, |
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Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi & Pascale Fung |
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**“Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset”** |
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📄 [arXiv:2201.02419](https://arxiv.org/pdf/2201.02419.pdf) |
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```bibtex |
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@misc{yu2022automatic, |
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title = {Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset}, |
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author = {Tiezheng Yu and Rita Frieske and Peng Xu and Samuel Cahyawijaya and |
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Cheuk Tung Shadow Yiu and Holy Lovenia and Wenliang Dai and |
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Elham J. Barezi and Qifeng Chen and Xiaojuan Ma and |
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Bertram E. Shi and Pascale Fung}, |
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year = {2022}, |
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eprint = {2201.02419}, |
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archivePrefix= {arXiv}, |
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primaryClass = {cs.CL} |
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} |
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``` |
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--- |
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## 🚀 How to Load on Hugging Face |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("ming030890/mdcc") |
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print(ds["train"][0]) |
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``` |
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Example output: |
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```python |
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{ |
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'audio': { |
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'path': '/path/to/audio.wav', |
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'array': [...], |
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'sampling_rate': 16000 |
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}, |
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'transcript': '你好，歡迎收聽…', |
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'sex': 'female', |
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'duration': 3.08 |
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} |
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``` |
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--- |
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## 🔓 License & Access |
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1. Review the `MDCC_LICENSE` file in this repo. |
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2. Sign it and send to **chinatysonyu@gmail.com**. |
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3. Then download the dataset here: |
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🔗 [Google Drive Folder](https://drive.google.com/drive/folders/1HhNqrPpUTtjsJ0wZQCSKqet7ftmWb6eI?usp=sharing) |
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--- |
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## ✅ Checkpoints |
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Download pretrained models here: |
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🔗 [Checkpoints Google Drive](https://drive.google.com/drive/folders/1BpGGOfr4IDYv0cWTowsDKkVmud7tNYzy?usp=sharing) |
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--- |
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## ⚠️ Disclaimer |
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I am **not the original author** of the dataset or the research paper. |
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This repo only provides a Hugging Face-compatible version of the public MDCC data. |
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For the original codebase and documentation, refer to: |
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🔗 https://github.com/HLTCHKUST/cantonese-asr |
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