metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: duration
      dtype: float64
    - name: sentence
      dtype: string
    - name: uid
      dtype: string
    - name: group_id
      dtype: string
  splits:
    - name: train
      num_bytes: 38952870042.272
      num_examples: 146157
    - name: valid
      num_bytes: 4613208092.88
      num_examples: 18270
    - name: test
      num_bytes: 4372566889.24
      num_examples: 18270
  download_size: 47749925884
  dataset_size: 47938645024.392
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: valid
        path: data/valid-*
      - split: test
        path: data/test-*

📁 ScreenTalk_JA2ZH

ScreenTalk_JA2ZH is a bilingual speech dataset containing Japanese audio paired with Chinese (Simplified) sentence translations. It is specifically curated from film and TV content, making it highly suitable for tasks such as speech translation, multilingual ASR fine-tuning, and movie subtitle generation.

📌 Dataset Summary

Audio Language: Japanese (ja)
Text Language: Chinese (Simplified, zh-CN)
Domain: Film and television dialogues
Format: Each sample contains a path to a Japanese audio clip and its corresponding Chinese sentence translation.

📂 Dataset Structure

Each sample in the dataset has the following fields:

Field	Description
`audio`	Path or link to the Japanese audio file
`sentence`	Chinese translation of the spoken content

Example:

{
  "audio": "clips/0001.wav",
  "sentence": "我们得快点离开这里。"
}

💡 Use Cases

Fine-tuning ASR models (e.g., Whisper) for Japanese input and Chinese output
Training speech translation models
Movie subtitle generation in bilingual format
Evaluation for multilingual speech understanding systems

🛠️ How to Load

from datasets import load_dataset

dataset = load_dataset("DataLabX/ScreenTalk_JA2ZH")

📄 License

CC BY-NC 4.0 This dataset is made available for research and non-commercial use only.

🧠 Citation

If you use this dataset, please cite:

@misc{datalabx2025screentalkja2zh,
  title = {ScreenTalk_JA2ZH: Japanese Audio with Chinese Translations},
  author = {DataLabX},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/DataLabX/ScreenTalk_JA2ZH}},
}