---
task_categories:
- translation
language:
- ja
- zh
tags:
- translation
- ja
- zh_cn
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: duration
    dtype: float64
  - name: zh-CN
    dtype: string
  - name: uid
    dtype: string
  - name: group_id
    dtype: string
  splits:
  - name: train
    num_bytes: 2969732171.08
    num_examples: 11288
  - name: valid
    num_bytes: 369775889.576
    num_examples: 1411
  - name: test
    num_bytes: 370092000.712
    num_examples: 1411
  download_size: 3609504336
  dataset_size: 3709600061.368
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
---


# 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](https://huggingface.co/docs/transformers/main/en/model_doc/whisper#speech-translation)
- 🧪 Research on **multilingual speech understanding**
- 🧠 Developing multimodal AI systems (audio → Chinese text)
- 🏫 Educational tools for Japanese learners

## 📥 Loading Example (Hugging Face Datasets)

```python
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! 🙌