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README.md
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---
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license: mit
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task_categories:
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- text-to-speech
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- automatic-speech-recognition
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language:
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- ur
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tags:
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- urdu
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- phonemes
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- kanade
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- speech
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- ipa
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- rasa
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size_categories:
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- 1K<n<10K
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---
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# Rasa-Annotated
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Enhanced version of [Rasa](https://huggingface.co/datasets/humair025/Rasa) with phoneme annotations and Kanade tokenizer features.
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## Dataset Statistics
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- **Total Samples**: 26,102
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- **Total Duration**: 46.92 hours
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- **Average Duration**: 6.47 seconds
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- **Duration Range**: 0.31s - 45.34s
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- **Average Phonemes**: 18.4 per sample
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- **Average Kanade Tokens**: 530.7 per sample
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- **Global Embedding Dimension**: 128
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### Gender Distribution
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| Gender | Count |
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|--------|-------|
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| Female | 12,583 |
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| Male | 13,519 |
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### Style Distribution
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| Style | Count |
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|-------|-------|
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| CONV | 5,013 |
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| FEAR | 765 |
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| WIKI | 6,606 |
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| BOOK | 2,040 |
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| NEWS | 1,897 |
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| DISGUST | 868 |
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| ANGER | 814 |
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| UMANG | 188 |
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| PROPER NOUN | 4,595 |
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| SAD | 736 |
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| HAPPY | 839 |
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| ALEXA | 470 |
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| BB | 259 |
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| SURPRISE | 824 |
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| DIGI | 188 |
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## New Columns
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This dataset adds the following annotation columns (audio and wav_path are **NOT** included to save space):
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1. **phonemes** (string): IPA phonemes with stress markers (space-separated)
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2. **phonemes_no_stress** (string): IPA phonemes without stress markers
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3. **phonemes_list** (list): List of individual phonemes with stress
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4. **phoneme_count** (int): Number of phonemes
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5. **content_token_indices** (list): Kanade content token indices
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6. **global_embedding** (list): Kanade global embedding vector
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7. **token_len** (int): Length of content token sequence
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**Note**: The `audio` and `wav_path` columns are removed to reduce dataset size. Use the original [Rasa dataset](https://huggingface.co/datasets/humair025/Rasa) if you need the audio files.
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## Generated By
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- **Phonemes**: [urdu-g2p](https://github.com/zeeraktalat/urdu_g2p)
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- **Kanade Features**: [kanade-12.5hz](https://huggingface.co/frothywater/kanade-12.5hz)
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- **Processing**: CUDA-accelerated on GPU
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- **Processing Date**: 2026-02-05
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("humair025/Rasa-Annotated-25kHz")
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# Example sample
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sample = dataset['train'][0]
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print(f"Text: {sample['text']}")
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print(f"Duration: {sample['duration']}s")
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print(f"Gender: {sample['gender']}")
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print(f"Style: {sample['style']}")
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print(f"Phonemes: {sample['phonemes']}")
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print(f"Token length: {sample['token_len']}")
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print(f"Global embedding shape: {len(sample['global_embedding'])}")
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# Note: Audio is not included in this dataset
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# Use the original Rasa dataset if you need audio files
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```
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## Original Dataset
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Based on [Rasa](https://huggingface.co/datasets/humair025/Rasa)
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## License
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MIT License
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