README.md

---
language:
- jv
license: cc-by-4.0
task_categories:
- text-generation
- image-to-text
tags:
- pixelgpt
- javanese
- aksara
- multimodal
pretty_name: Javanese PixelGPT Dataset
size_categories:
- 100K<n<1M
---

# Javanese PixelGPT Dataset

This dataset contains preprocessed Javanese text data for training PixelGPT models.

## Dataset Statistics
- **Language**: Javanese (jawa)
- **Total samples**: 401,542
- **Train samples**: 400,726
- **Test samples**: 816

## Tokenizers
- **Grapheme tokenizer**: izzako/javanese-llama-tokenizer
- **LLaMA tokenizer**: ernie-research/DualGPT

## Features
- `text_id`: Document identifier
- `chunk_id`: Chunk identifier within document
- `pixel_values`: Rendered pixel representation of aksara text
- `grapheme_token_ids`: Token IDs from grapheme-based tokenizer (with EOS token)
- `llama_token_ids`: Token IDs from LLaMA tokenizer (with EOS token)
- `text`: Original text chunk

## Renderer Configuration
- **Renderer path**: ../../renderers/m4_renderer

## Usage
```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("izzako/javanese-pixelgpt")

# Access train and test splits
train_data = dataset['train']
test_data = dataset['test']

# Example: Get first sample
sample = train_data[0]
print(sample['text'])
```

## Citation

If you use this dataset, please cite:
```bibtex
@dataset{javanese_pixelgpt,
  title = {Javanese PixelGPT Dataset},
  author = {Musa Izzanardi Wijanarko},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/izzako/javanese-pixelgpt}
}
```