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README.md
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dtype: float32
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splits:
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- name: train
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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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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---
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dtype: float32
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splits:
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- name: train
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num_bytes: 13530738289.8
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num_examples: 10590
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download_size: 11007262901
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dataset_size: 13530738289.8
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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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license: cc-by-nc-4.0
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task_categories:
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- text-to-speech
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- automatic-speech-recognition
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- audio-to-audio
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language:
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- en
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- fr
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---
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# DuBLaB-en-fr-0.8
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### Description
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**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**.
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- **Repository:** [Hugging Face - DuBLaB-en-fr-0.8](https://huggingface.co/amine-khelif/DuBLaB-en-fr-0.8)
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---
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## Structure
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Each dataset entry contains:
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- **`id`**: Unique identifier for the segment.
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- **`english_audio`**: Audio file (16 kHz sampling rate).
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- **`english_text`**: English transcript.
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- **`english_duration`**: Duration of the English segment.
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- **`french_audio`**: Audio file (16 kHz sampling rate).
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- **`french_text`**: French transcript.
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- **`french_duration`**: Duration of the French segment.
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- **`overlap_ratio`**: IOU overlap between the English and French segments.
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---
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### **Duration Statistics**
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- English durations:
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```
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Global Total Duration: 27652.4280 s
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Mean: 4.6172 s
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Minimum: 0.1800 s
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Maximum: 30.0070 s
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Variance: 29.4496 s^2
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```
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- French durations:
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```
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Global Total Duration: 28565.8570 s
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Mean: 4.7697 s
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Minimum: 0.2000 s
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Maximum: 30.0070 s
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Variance: 30.2705 s^2
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```
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---
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## Visualizations
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### **Text Density Distribution**
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This plot illustrates the **distribution of words-per-second density** after filtering.
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
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### **Cosine Similarity (English-French)**
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This KDE plot represents the **semantic similarity** between English and French transcripts, computed using `LaBSE` enmbedding model.
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
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---
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## Usage
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### **Loading the Dataset**
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Use the Hugging Face `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("amine-khelif/DuBLaB-en-fr-0.8")
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print(dataset)
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```
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License
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This dataset is released under the CC BY-NC 4.0 license.
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It is free to use exclusively for non-commercial purposes.
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## Citation
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If you use **DuBLaB-en-fr-0.8** in your research, please cite it as follows:
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```
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@misc{DuBLaB-en-fr-0.8,
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author = {Khelif, Amine Khelif},
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title = {DuBLaB en-fr Dataset (Version 0.8)},
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howpublished = {\url{https://huggingface.co/amine-khelif/DuBLaB-en-fr-0.8}},
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year = {2025},
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note = {Released under the CC BY-NC 4.0 license}
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}
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```
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## Contact
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For any questions, suggestions, or contributions, please contact:
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- Author: Amine Khelif KHELIF
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- Email: [email protected]
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🚀 Start exploring DuBLaB-en-fr-0.8 today! 🚀
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