---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: english_audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: english_text
    dtype: string
  - name: english_duration
    dtype: float32
  - name: french_audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: french_text
    dtype: string
  - name: french_duration
    dtype: float32
  - name: overlap_ratio
    dtype: float32
  splits:
  - name: train
    num_bytes: 13530738289.8
    num_examples: 10590
  download_size: 11007262901
  dataset_size: 13530738289.8
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-nc-4.0
task_categories:
- text-to-speech
- automatic-speech-recognition
- audio-to-audio
language:
- en
- fr
---


# DuBLaB-en-fr-0.8

###  Description

**DuBLaB-en-fr-0.8** is a bilingual dataset of **English-French audio segments**, aligned and extracted from audiovisual sources. This dataset is designed for **automatic speech recognition (ASR), machine translation, cross-lingual style mapping, and text-to-speech (TTS) applications**.



- **Repository:** [Hugging Face - DuBLaB-en-fr-0.8](https://huggingface.co/amine-khelif/DuBLaB-en-fr-0.8)

---

## Structure

Each dataset entry contains:

- **`id`**: Unique identifier for the segment.
- **`english_audio`**: Audio file (16 kHz sampling rate).
- **`english_text`**: English transcript.
- **`english_duration`**: Duration of the English segment.
- **`french_audio`**: Audio file (16 kHz sampling rate).
- **`french_text`**: French transcript.
- **`french_duration`**: Duration of the French segment.
- **`overlap_ratio`**: IOU overlap between the English and French segments.

---


### **Duration Statistics**

- English durations:
```
  Global Total Duration: 27652.4280 s
  Mean:                  4.6172 s
  Minimum:               0.1800 s
  Maximum:               30.0070 s
  Variance:              29.4496 s^2
```
- French durations:
```
  Global Total Duration: 28565.8570 s
  Mean:                  4.7697 s
  Minimum:               0.2000 s
  Maximum:               30.0070 s
  Variance:              30.2705 s^2
```
---

## Visualizations

### **Text Density Distribution**
This plot illustrates the **distribution of words-per-second density** after filtering.  

![wordpersec08.png](https://cdn-uploads.huggingface.co/production/uploads/65abc3bd302258937183a7d3/gf1JfWHQJZgKx4srdqJis.png)

### **Cosine Similarity (English-French)**
This KDE plot represents the **semantic similarity** between English and French transcripts, computed using `LaBSE` enmbedding model.

![kde08.png](https://cdn-uploads.huggingface.co/production/uploads/65abc3bd302258937183a7d3/c7HxqGhDnd-qEqEf0fqe6.png)

---

## Usage

### **Loading the Dataset**
Use the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("amine-khelif/DuBLaB-en-fr-0.8")
print(dataset)
```
License

This dataset is released under the CC BY-NC 4.0 license.
It is free to use exclusively for non-commercial purposes.

## Citation

If you use **DuBLaB-en-fr-0.8** in your research, please cite it as follows:

```
@misc{DuBLaB-en-fr-0.8,
  author       = {Khelif, Amine Khelif},
  title        = {DuBLaB en-fr Dataset (Version 0.8)},
  howpublished = {\url{https://huggingface.co/amine-khelif/DuBLaB-en-fr-0.8}},
  year         = {2025},
  note         = {Released under the CC BY-NC 4.0 license}
}
```




## Contact

For any questions, suggestions, or contributions, please contact:
- Author: Amine Khelif KHELIF
- Email: khelifaminekhelif@gmail.com


🚀 Start exploring DuBLaB-en-fr-0.8 today! 🚀