ScreenTalk_JA

ScreenTalk_JA is a paired dataset of Japanese speech and Chinese translated text released by DataLabX. It is designed for training and evaluating speech translation (ST) and multilingual speech understanding models. The data consists of spoken dialogue extracted from real-world Japanese movies and TV shows.

📦 Dataset Overview

• Source Language: Japanese (Audio)
• Target Language: Simplified Chinese (Text)
• Number of Samples: ~10,000
• Total Duration: ~30 hours
• Format: Parquet
• License: CC BY 4.0
• Tasks:
  • Speech-to-Text Translation (ST)
  • Multilingual ASR+MT joint modeling
  • Japanese ASR with Chinese aligned text training

📁 Data Fields

Field Name	Type	Description
audio	Audio	Raw Japanese speech audio clip
sentence	string	Corresponding Simplified Chinese text
duration	float	Duration of the audio in seconds
uid	string	Unique sample identifier
group_id	string	Grouping ID (e.g., speaker or scene tag)

🔍 Example Samples

UID	Duration (s)	Chinese Translation
JA_00012	4.21	他不会来了。
JA_00038	6.78	为什么你会这样说？告诉我真相。
JA_00104	3.33	安静，有人来了。

💡 Use Cases

This dataset is ideal for:

• 🎯 Training speech translation models, such as Whisper ST
• 🧪 Research on multilingual speech understanding
• 🧠 Developing multimodal AI systems (audio → Chinese text)
• 🏫 Educational tools for Japanese learners

📥 Loading Example (Hugging Face Datasets)

from datasets import load_dataset

ds = load_dataset("DataLabX/ScreenTalk_JA", split="train")

📃 Citation

@misc{datalabx2025screentalkja,
  title = {ScreenTalk_JA: A Speech Translation Dataset of Japanese Audio and Chinese Text},
  author = {DataLabX},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/DataLabX/ScreenTalk_JA}},
}

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We welcome feedback, suggestions, and contributions! 🙌