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README.md
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---
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language:
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- vi
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- en
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license: cc-by-4.0
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task_categories:
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- automatic-speech-recognition
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pretty_name: AI2Text Bilingual ASR Dataset (Vietnamese + English)
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size_categories:
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- 100K<n<1M
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---
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# AI2Text – Bilingual ASR Dataset
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A large-scale bilingual (Vietnamese + English) speech dataset used to train
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the `Cong123779/AI2Text-Bilingual-ASR` model.
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## Dataset Summary
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| Split | Samples | Notes |
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|-------|---------|-------|
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| train | ~194,167 | 77% Vietnamese, 23% English |
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| val | ~30,123 | held-out validation |
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## Data Fields
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Each `manifest.csv` has the following columns:
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| Column | Description |
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|--------|-------------|
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| `id` | Unique sample identifier |
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| `transcript` | Ground-truth text (prefixed with `<\|vi\|>` or `<\|en\|>`) |
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| `audio_path` | Relative path to the `.wav` file |
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| `duration` | Duration in seconds |
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| `words_json` | JSON array of word-level timestamps |
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## Audio Format
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- Sample rate: **16,000 Hz**
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- Channels: **Mono**
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- Format: **WAV**
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## Language Distribution
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- **Vietnamese** (`<|vi|>` token): ~77%
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- **English** (`<|en|>` token): ~23%
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## Usage
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```python
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import pandas as pd
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from datasets import load_dataset
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# Load only the manifest CSVs (fast, no audio)
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ds = load_dataset("Cong123779/AI2Text-Bilingual-ASR-Dataset",
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data_files={"train": "train/manifest.csv",
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"val": "val/manifest.csv"})
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print(ds)
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```
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## License
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Creative Commons Attribution 4.0 (CC-BY 4.0)
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