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Datasets:
Exqrch
/
javanese-Komodo-pixelgpt

Tasks:
Text Generation
Image-to-Text
Modalities:
Tabular
Text
Formats:
parquet
Languages:
Javanese
Size:
100K - 1M
Tags:
pixelgpt
javanese
aksara
multimodal
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet Duplicate
text_id
int64
chunk_id
int64
pixel_values
list
Komodo_token_ids
list
text
string
0
0
[[255,255,255,255,255,255,255,98,160,255,255,255,66,201,255,255,255,255,255,56,116,62,255,255,255,25(...TRUNCATED)
[1,274,30037,10107,11062,259,1153,413,3761,260,30166,29871,13560,1321,3300,260,30037,302,30166,29871(...TRUNCATED)
Cerita Rakyat Kabupaten Cilacap
1
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Balai Bahasa Jawa Tengah
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Badan Pengembangan dan Pembinaan Bahasa
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Kementerian Pendidikan dan Kebudayaan
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Ery Agus Kurnianto, Suryo Handono
5
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Tri Wahyuni, Umi Farida
6
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Kepala Balai Bahasa Jawa Tengah
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EryAgus Kurnianto, S.Pd., M.Hum.
8
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Agus Sudono, S.S., M.Hum.
9
0
[[255,255,255,255,255,255,255,75,122,25,255,255,255,255,255,255,255,255,75,122,25,255,255,255,255,25(...TRUNCATED)
[1,10107,6836,259,382,269,30166,2034,259,501,11062,3737,1919,259,259,269,30166,29889,259,269,30166,2(...TRUNCATED)
Rini Esti Utami, S.S.
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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

  • [TO BE EDITED]

Features

  • text_id: Document identifier
  • chunk_id: Chunk identifier within document
  • pixel_values: Rendered pixel representation of aksara text
  • <tokenizer_name>_token_ids: Token IDs from grapheme-based 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}
}
Downloads last month
12
Size of downloaded dataset files:
1.03 GB
Size of the auto-converted Parquet files:
1.03 GB
Number of rows:
401,542