text_id
int64 | chunk_id
int64 | pixel_values
list | grapheme_token_ids
list | llama_token_ids
list | text
string |
|---|---|---|---|---|---|
0
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,6,13,21,4,6,58,111,4,91,55,17,111,89,62,22,4,49,28,8,4,6,13,21,4,6,58,111,4,6,27,4,14,70,5,51,82,(...TRUNCATED)
| [1,1094,314,626,1789,410,6772,262,6352,638,302,3761,28899,408,314,626,1789,385,29884,4516,4159,29891(...TRUNCATED)
| "Asam amino protéinogenik nyaéta asam amino anu diruntuykeun sacara biosintétik jadi protéin nal(...TRUNCATED)
|
1
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
|
[
1,
102,
44,
53,
4,
39,
91,
55,
17,
111,
89,
62,
22,
39,
4,
153,
26,
11,
4,
39,
209,
71,
5,
4,
91,
55,
17,
5,
39,
2
] |
[
1,
476,
687,
481,
376,
771,
6772,
262,
6352,
638,
29908,
298,
442,
1099,
376,
1460,
347,
348,
410,
6772,
262,
29908,
2
] |
Kecap "protéinogenik" hartina "nyieun protéin"
|
2
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,14,4,13,297,4,16,606,22,4,47,70,53,4,6,27,4,144,12,4,10,49,142,6,5,9,4,6,61,4,7,45,45,7,4,6,13,21(...TRUNCATED)
| [1,4671,269,557,332,611,4415,2679,298,381,786,385,29884,1737,375,413,1384,29745,273,29892,263,3761,2(...TRUNCATED)
| "Di sakur mahluk hirup anu geus kanyahoan, aya 22 asam amino anu dikode sacara genetik (protéinogen(...TRUNCATED)
|
3
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,13,23,52,22,11,4,26,4,28,8,9,4,6,13,21,4,6,58,111,4,111,5,59,91,55,17,111,89,62,22,4,126,4,6,13,2(...TRUNCATED)
| [1,11775,284,638,1056,19538,904,941,29892,408,314,626,1789,1661,29899,771,6772,262,6352,638,611,2988(...TRUNCATED)
| "Sabalikna ti éta, asam amino non-protéinogenik mah asam amino anu teu ngaruntuy kana protéin ata(...TRUNCATED)
|
4
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,6,27,4,19,5,184,41,4,65,6,13,11,4,23,73,136,4,26,11,4,122,14,40,10,18,4,107,12,59,118,5,265,18,4,(...TRUNCATED)
| [1,530,29884,282,4182,5338,24003,1648,6411,2679,279,260,1099,878,666,638,6840,926,29899,3286,3333,29(...TRUNCATED)
|
Anu pandeuri biasana balukar tina modipikasi pos-translasi kana protéin
|
5
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,13,23,23,20,36,4,6,13,21,4,6,58,111,4,111,5,59,91,55,17,111,89,62,22,4,14,70,5,51,82,35,5,4,10,11(...TRUNCATED)
| [1,11775,370,279,25613,408,314,626,1789,1661,29899,771,6772,262,6352,638,4516,4159,29891,446,348,413(...TRUNCATED)
| "Sababaraha asam amino non-protéinogenik diruntuykeun kana péptida non-ribosomal anu disintésis k(...TRUNCATED)
|
6
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,366,4,71,10,41,32,15,4,67,4,91,10,41,32,15,4,65,13,4,231,25,53,35,5,4,57,114,111,18,12,55,17,5,4,(...TRUNCATED)
| [1,17966,321,2679,1306,327,1444,686,410,29895,1306,327,2652,29874,14265,481,446,348,269,4498,359,391(...TRUNCATED)
| "Boh eukariot jeung prokariot bisa nyelapkeun selenosistéin kana protéinna ngaliwatan runtuyan nuk(...TRUNCATED)
|
7
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,14,11,4,13,23,23,20,36,4,91,10,41,32,15,4,127,8,111,89,62,22,9,4,66,60,5,4,31,6,97,4,32,123,4,65,(...TRUNCATED)
| [1,360,1099,15296,370,279,25613,410,29895,1306,327,11510,273,6352,638,29892,413,28480,501,10051,3671(...TRUNCATED)
|
Dina sababaraha prokariot métanogenik, kodon UAG ogé bisa ditarjamahkeun jadi pirolisin
|
8
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,14,11,4,71,10,41,32,15,9,4,6,61,4,31,297,4,7,45,34,7,4,6,13,21,4,6,58,111,4,91,55,17,111,89,62,22(...TRUNCATED)
| [1,360,1099,321,2679,1306,327,29892,263,3761,18293,332,29871,29906,29896,408,314,626,1789,410,6772,2(...TRUNCATED)
| "Dina eukariot, aya ukur 21 asam amino protéinogenik, 20 kode genetik baku, ditambah selenosistéin(...TRUNCATED)
|
9
| 0
| [[255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,25(...TRUNCATED)
| [1,6,29,22,4,16,27,13,4,65,13,4,209,5,55,18,12,4,7,34,45,7,11,9,4,6,11,107,5,4,27,4,7,69,7,4,6,27,4,(...TRUNCATED)
| [1,22886,557,767,11326,2652,29874,7098,524,743,275,29871,29896,29906,1056,29892,385,481,265,4948,298(...TRUNCATED)
| "Awak manusa bisa nyintésis 12na, anapon nu 9 anu katelah asam amino ésénsial kudu ngala tina dah(...TRUNCATED)
|
End of preview. Expand
in Data Studio
Sundanese PixelGPT Dataset
This dataset contains preprocessed Sundanese text data for training PixelGPT models.
Dataset Statistics
- Language: Sundanese (sunda)
- Total samples: 294,756
- Train samples: 293,933
- Test samples: 823
Tokenizers
- Grapheme tokenizer: izzako/sunda-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/sundanese-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{sundanese_pixelgpt,
title = {Sundanese PixelGPT Dataset},
author = {Musa Izzanardi Wijanarko},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/izzako/sundanese-pixelgpt}
}
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