text_id
int64 | chunk_id
int64 | pixel_values
list | grapheme_token_ids
list | llama_token_ids
list | text
string |
|---|---|---|---|---|---|
0
| 0
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Cerita Rakyat Kabupaten Cilacap
|
1
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Balai Bahasa Jawa Tengah
|
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Badan Pengembangan dan Pembinaan Bahasa
|
3
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Kementerian Pendidikan dan Kebudayaan
|
4
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Ery Agus Kurnianto, Suryo Handono
|
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Tri Wahyuni, Umi Farida
|
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Kepala Balai Bahasa Jawa Tengah
|
7
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|
EryAgus Kurnianto, S.Pd., M.Hum.
|
8
| 0
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Agus Sudono, S.S., M.Hum.
|
9
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[
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29889,
2
] |
Rini Esti Utami, S.S.
|
End of preview. Expand
in Data Studio
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 identifierchunk_id: Chunk identifier within documentpixel_values: Rendered pixel representation of aksara textgrapheme_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
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:
@dataset{javanese_pixelgpt,
title = {Javanese PixelGPT Dataset},
author = {Musa Izzanardi Wijanarko},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/izzako/javanese-pixelgpt}
}
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