---
language:
- te
tags:
- journalism
- rural-india
- paari
- te
- telugu
- tts
- speech-synthesis
size_categories:
- n<1K
task_categories:
- text-to-speech
- text-classification
multilinguality:
- monolingual
pretty_name: "PAARI Telugu TTS Dataset"
---

# PAARI Telugu TTS Dataset

## Dataset Description

This dataset contains TTS-optimized chunks of journalism articles in Telugu (తెలుగు) from the People's Archive of Rural India (PAARI). The articles focus on rural life, agriculture, social issues, and cultural stories from rural India.

### Dataset Details

- **Language**: Telugu (తెలుగు)
- **Script**: Telugu
- **Language Code**: `te`
- **Dataset Type**: TTS-optimized
- **Source**: [Rural India Online](https://ruralindiaonline.org)
- **License**: Please refer to PAARI's terms of use

### Dataset Structure

#### TTS Dataset Fields

- `article_id`: Unique identifier for the source article
- `chunk_id`: Sequential chunk number within the article
- `title`: Article title in Telugu
- `text`: Chunked article content optimized for TTS (≤800 characters) in Telugu
- `text_length`: Length of the text chunk in characters
- `total_chunks`: Total number of chunks for this article
- `language`: Language code
- `language_name`: Full language name

### Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("keplersystems/PAARI-Telugu-TTS")

# Access examples
for chunk in dataset["train"]:
    print(f"Article {chunk["article_id"]}, Chunk {chunk["chunk_id"]}: {chunk["text"][:100]}...")
    
```

### Text Processing

The text has been cleaned and processed with:
- HTML entity decoding
- HTML tag removal
- Telugu-specific text normalization
- Whitespace normalization
- Sentence-boundary aware chunking for TTS optimization

### Data Quality

- Articles filtered for completeness (both title and text required)
- Language-specific text cleaning applied
- Optimal chunk sizes for speech synthesis

### Citation

If you use this dataset, please cite:

```
@misc{paari-te-tts-dataset,
    title={PAARI Telugu TTS Dataset},
    author={People's Archive of Rural India},
    howpublished={\url{https://huggingface.co/datasets/keplersystems/PAARI-Telugu-TTS}},
    year={2025}
}
```

### Acknowledgments

This dataset is derived from the excellent journalism work of the People's Archive of Rural India (PAARI) and Rural India Online. We thank all the journalists, photographers, and contributors who created this valuable content documenting rural Indian life and culture.

### Contact

For questions about this dataset, please open an issue on the [dataset repository](https://huggingface.co/datasets/keplersystems/PAARI-Telugu-TTS).