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αž™αŸ„αž„ :
0Khmer
78
Thus the wise win before
2English
3,251
៑៨αŸ₯០ αžšαž αžΌαžαž˜αž€αž‘αž›αŸ‹αžŸαž–αŸ’αžœαžαŸ’αž„αŸƒ αŸ”
0Khmer
1,889
10
2English
789
αž‘αžΈαž€αŸ’αžšαž»αž„αž‚αžΌαž‘αžΆαž‘αžΆαŸ†αž–αž½ -αž‚αŸαž αž‘αŸ†αž–αŸαžš αž“αž·αž„αž”αžŽαŸ’αžŠαžΆαž‰αžŸαž„αŸ’αž‚αž˜αŸ–
0Khmer
1,589
79.7
2English
1,021
αž‡αžΆαž—αž–αžŠαŸ‚αž›αž‡αž·αžαž–αŸ’αžšαŸ‡αž’αžΆαž‘αž·αžαŸ’αž™αž‡αžΆαž„αž‚αŸ αž“αž·αž„αž‚αŸ’αž˜αžΆαž“
0Khmer
2,885
αž”αž‘αž”αŸ’αž”αž‰αŸ’αž‰αžαŸ’αžαž·αž“αŸ„αŸ‡αŸ”
0Khmer
71
do not become angered
2English
79
the fight, while
2English
1,703
mode rather than one-way output and input mode.
2English
2,755
αž“αž·αž„αž€αŸ†αžŽαžαŸ‹αž–αžΈαž€αžΆαžšαž•αŸ’αžαž“αŸ’αž‘αžΆ
0Khmer
2,428
2024-12-08.
2English
1,172
degrees than both projections will return a mess. In that case you can cut your document to
2English
2,957
αž•αž„αŸ”
0Khmer
1,900
្០៑ៀ
0Khmer
51
αžŸαŸ†αžŽαž½αžš
0Khmer
2,252
AMC Benchmark: The surest way to guard against overfitting to the test set is to test on fresh data.
2English
353
via layers of residual convolutional blocks and a layer of gated recurrent units
2English
243
ធេស៊ីធ៊ី αž‘αž½αž›αž‘αŸ†αž–αž½αž„
0Khmer
3,265
αžœαžŽαŸ’αžŽαŸˆαž’αŸ’αž“αž€αžŠαžΉαž€αž“αžΆαŸ†αž“αž·αž„αž”αž„αŸ’αž€αžΎαžαž‘αž»αžšαž‚αžαž—αžΆαž–αž“αŸƒαžšαžŽαŸ’αžŽαŸˆαž–αž›αž€αžš αŸ” αž‘αžΆαŸ†αž„αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αž–αž“αžΆαŸ†αž±αŸ’αž™αž˜αžΆαž“αž…αž›αž“αžΆ
0Khmer
1,285
method, CNN predicts the angle of landscape photos without any preprocessing. It is also clear
2English
984
αž…αŸ’αž”αžΆαž”αŸ‹αžŸαŸ’αžŠαžΈαž–αžΈαž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαž€αŸ’αžšαžŸαž½αž„αž’αž”αŸ‹αžšαŸ† αž™αž»αžœαž‡αž“ αž“αž·αž„αž€αžΈαž‘αžΆ
0Khmer
420
facilitate the teaching and learning of the Khmer language among a group of Grade 1 students
2English
2,900
αž˜αžΆαžαŸ’αžšαžΆ ្០- αž‡αž“αžšαž„αž‚αŸ’αžšαŸ„αŸ‡αž‡αžΆαž‡αž“αž‡αžΆαžαž·αžαŸ’αž˜αŸ‚αžš
0Khmer
592
αžŸαž˜αžΆαž‚αž˜αž’αŸ’αž“αž€αž’αž€αŸ’αžŸαžšαžŸαž·αž›αŸ’αž”αŸαžœαŸ€αžαžŽαžΆαž˜ αž†αŸ’αž“αžΆαŸ†αŸ’αŸ αŸ‘αŸ©αŸ”
0Khmer
130
worry and think before making
2English
3,068
αž–αž»αŸ†αž˜αžΆαž“αž”αž‰αŸ’αž αžΆαž’αžŸαŸ’αžαž·αžšαžΌαž”αž‘αŸ αžŠαŸ‚αž›αž‚αŸαž…αžΆαžαŸ‹αž”αž‰αŸ’αž…αžΌαž›αž‘αŸ…αž€αŸ’αž“αž»αž„αž‘αžŸαŸ’αžŸαž“αžœαž·αž‡αŸ’αž‡αžΆαžšαžΌαž”αž“αž·αž™αž˜αŸ” αž’αžΆαžŸαŸ’αžšαŸαž™αž αŸαžαž»αž“αŸαŸ‡
0Khmer
2,815
cc.feedback2011 @gmail.comαŸ”
1Khmer + English
3,376
αž”αžŽαŸ’αžŠαž»αŸ‡αž‘αžŸαŸ’αžŸαž“αž‚αžαž·αžŠαžΎαž˜αŸ’αž”αžΈαž—αžΆαž–αž‡αŸ„αž‚αž‡αŸαž™
0Khmer
1,386
5. SIMULATION RESULTS
2English
2,390
Token Search (PTS), to generate pairs for DPO for the first DPO round. Details of the data mixture
2English
423
for the Grade 1 to 9 Khmer textbooks showed that the frequency of word exposure and the
2English
1,917
αŸ₯,០
0Khmer
2,739
αž‡αžΆαž…αž»αž„αž€αŸ’αžšαŸ„αž™ αžαŸ’αž‰αž»αŸ†αž€αŸαžŸαžΌαž˜αžαŸ’αž›αŸ‚αž„αž’αŸ†αžŽαžšαž‚αž»αžŽαžŠαŸαž‡αŸ’αžšαžΆαž›αž‡αŸ’αžšαŸ…αžŠαž›αŸ‹
0Khmer
410
regard to the usability and learnability of the Khmer language by focusing on vocabulary size,
2English
1,412
7
2English
193
αžŸαžΌαž˜αž‚αŸ„αžšαž–αž‡αžΌαž“
0Khmer
2,679
αž€αŸ’αžšαž˜αž–αŸ’αžšαž αŸ’αž˜αž‘αžŽαŸ’αžŒ
0Khmer
2,223
αž‘αžΆαž‰αž…αŸαž‰αž–αžΈαž›αž‘αŸ’αž’αž•αž›αž“αŸƒαž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαžŸαŸ’αžšαžΆαžœαž‡αŸ’αžšαžΆαžœαž“αŸ…αž€αŸ’αž“αž»αž„αžαŸ’αž›αžΉαž˜αžŸαžΆαžšαžαžΆαž„αž›αžΎ αž™αžΎαž„αžαŸ’αž‰αž»αŸ†αž˜αžΆαž“αž’αž“αž»αžŸαžΆαžŸαž“αŸ
0Khmer
2,129
αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆ αž“αŸ…αž˜αž’αŸ’αž™αž˜αžŸαž·αž€αŸ’αžŸαžΆ αž˜αž“αž»αžŸαŸ’αžŸαž˜αž½αž™
0Khmer
1,406
6. Images with -90-degrees orientation predicted in 90-degrees category.
2English
1,158
Khmer (αž—αžΆαžŸαžΆαžαŸ’αž˜αŸ‚αžš):
1Khmer + English
3,062
αž…αŸ‚αž€αž’αž€αŸ’αžŸαžšαžŸαž·αž›αŸ’αž”αŸαž“αž·αž„αž›αž€αŸ’αžαžŽαžαžαŸˆαžšαž”αžŸαŸ‹αžšαžΏαž„ αž…αž›αž“αžΆαž’αž€αŸ’αžŸαžšαžŸαž·αž›αŸ’αž”αŸ αž”αŸ’αžšαž’αžΆαž“αžšαžΏαž„ αž€αžΆαž›αž’αžΆαž€αžΆαžŸ αž˜αžΌαž›
0Khmer
1,815
5,000
2English
9
ExtraLight αž”αŸ’αžšαž‘αŸαžŸαž€αž˜αŸ’αž–αž»αž‡αžΆ ៑្៣ Cambodia 123
1Khmer + English
622
[WFM+24] Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk,
2English
1,341
and therefore shows no impact towards classification score (zero correlated) or may have a
2English
3,266
αž’αž€αŸ’αžŸαžšαžŸαžΆαžŸαŸ’αžαŸ’αžšαžαŸ’αž˜αžΈ αŸ”
0Khmer
1,391
sad().stop();
2English
2,543
Generation 8, Class E4, Information Technology of Engineering Department
2English
2,193
αž”αžΎαž€αž‘αžΌαž›αžΆαž™αž±αŸ’αž™αž˜αžΆαž“αž€αžΆαžšαž…αžΌαž›αžšαž½αž˜αž–αžΈαž€αŸ’αžšαžŸαž½αž„αžŸαŸ’αžαžΆαž”αŸαž“αž‚αŸ’αžšαž”αŸ‹αžŠαŸƒαž‚αžΌαž’αž—αž·αžœαžŒαŸ’αžαž“αŸαž“αž·αž„αžŸαž„αŸ’αž‚αž˜αžŸαŸŠαžΈαžœαž·αž›
0Khmer
1,696
by strengthening bilateral cooperative ties. In addition, technical training and cultural
2English
1,310
and completely utilize the data of the content line.
2English
2,258
of original prompts written by the team (see Section 5 for further details).
2English
2,054
αž“αž·αž„
0Khmer
126
A successful samurai should put
2English
552
hakaran, V., Reif, E., Du, N., Hutchinson, B., Pope, R., Bradbury, J., Austin,
2English
2,613
meet market demands, (2) increase equitable access to higher education, and (3) strengthen the
2English
2,777
αžαžΆαž…αŸ’αž”αžΆαž”αŸ‹αž“αŸαŸ‡αžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαžŠαŸ’αž‹αžŸαž—αžΆαž’αž“αž»αž˜αŸαžαž‡αžΆαž—αžΆαžŸαžΆαžαŸ’αž˜αŸ‚αžš αž“αžΆαŸ†αž²αŸ’αž™αž’αžαŸ’αžαž”αž‘
0Khmer
3,132
αžŠαŸ†αžŽαžΎαžšαžαžΆαž˜αž”αŸ’αžαžΉαž˜αž€αžŸαŸ’αžšαž»αž€αž…αžΆαž“αŸ‹αžαž»αž„" αŸ”
0Khmer
2,738
αž˜αž½αž™αž…αŸ†αž“αž½αž“αž€αŸ’αž“αž»αž„αž’αž˜αŸ’αž›αž„αž–αŸαž›αž“αŸƒαž€αžΆαžšαž”αž€αž”αŸ’αžšαŸ‚αž€αŸ’αžšαž˜αž“αŸαŸ‡αŸ”
0Khmer
842
αŸ₯. αžαžΎαž’αŸ’αž“αž€αž…αžΌαž›αž…αž·αžαŸ’αžαž–αž»αž˜αŸ’αž–αž’αž€αŸ’αžŸαžšαž˜αž½αž™αžŽαžΆ? αžŸαžΌαž˜αž”αŸ’αžšαžΆαž”αŸ‹αž²αŸ’αž™αž™αžΎαž„αžŠαžΉαž„αž•αž„αŸ”
0Khmer
2,683
αžšαžΆαž‡αžšαžŠαŸ’αž‹αžΆαž—αž·αž”αžΆαž›
0Khmer
2,544
Faculty of Engineering, Royal University of Phnom Penh
2English
1,771
αž§αžŸαŸ’αžŸαžΆαž αž€αž˜αŸ’αž˜
0Khmer
3,324
αžŸαž–αž›αž—αžΆαž–: ៑៣.០៩.្០៑αŸ₯ αžŠαž›αŸ‹αžαŸ’αž„αŸƒ ៑្.០៩.្០្αŸ₯
0Khmer
477
αžŠαŸ‚αž›αž’αžΆαž…αž•αŸ’αž‘αŸ€αž„αž•αŸ’αž‘αžΆαžαŸ‹αž”αžΆαž“αžαžΆαž˜αžšαž™αŸˆ "αžαŸ’αž“αžΆαž›αž•αŸ’αž‘αŸ€αž„αž•αŸ’αž‘αžΆαžαŸ‹αž―αž€αžŸαžΆαžš verify.gov.kh"
1Khmer + English
1,918
៧,៑
0Khmer
3,275
៑
0Khmer
2,199
៑៦.៑
0Khmer
436
Numerous highly stressful events occurred in Cambodia in the last century.
2English
2,596
β€’ The manufacturer of the offered goods, if a different entity from the Bidder, has
2English
2,466
model. In Thirty-seventh Conference on Neural Information Processing Systems, 2023.
2English
1,113
\section{Strengths and Limitations of the OCR System}
2English
176
The test environment is configured on
2English
1,708
Considering the organization and action capacity of the Lao government, it is
2English
29
αž–αž»αž˜αŸ’αž–αž’αž€αŸ’αžŸαžšαž“αž‚αžš
0Khmer
18
αž€αž˜αŸ’αž–αž»αž‡αžΆαžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αŸαžŸαŸ’αž‚αžΆαž›αŸ‹αž‡αžΆαž‘αžΌαž‘αŸ…αžαžΆ Cambodia αž‡αžΆαž—αžΆαžŸαžΆαž’αž„αŸ‹αž‚αŸ’αž›αŸαžŸ
1Khmer + English
1,723
between the two sides should be two-way interaction, not one-way. In the process of
2English
2,562
Copy
2English
1,986
αžšαŸ€αž”αž…αŸ†αžšαž…αž“αžΆαžŸαž˜αŸ’αž–αŸαž“αŸ’αž’αž‚αžΆαŸ†αž‘αŸ’αžšαžŠαž›αŸ‹αž€αž˜αŸ’αž›αžΆαŸ†αž„αž–αž›αž€αž˜αŸ’αž˜
0Khmer
620
Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al.
2English
784
αž˜αž“αŸ’αžαŸ’αžšαžΈ αžšαžŠαŸ’αž‹αž˜αž“αŸ’αžαŸ’αžšαžΈαž€αŸ’αžšαžŸαž½αž„ αž’αž”αŸ‹αžšαŸ† αž™αž»αžœαž‡αž“αž“αž·αž„αž€αžΈαž‘αžΆ αž”αžΆαž“αž’αž‰αŸ’αž‡αžΎαž‰αž’αž˜
0Khmer
610
The phi-4 model is based on a decoder-only transformer architecture [VSP+17] with 14B parameters and
2English
1,283
identifying the skew angles using various computer vision algorithms. Fischer et al. [1] applied
2English
3,003
αž…αž›αž“αžΆαžšαžΆαž„
0Khmer
1,530
[2] Ramesh, D., Sanampudi, S.K.: An automated essay scoring systems: a systematic
2English
1,119
print(df_train.head())
2English
1,368
CLOUD
2English
1,491
processing, and the goal of increased computational power. However, the answer could
2English
467
texts, as shown below.
2English
3,110
αžŸαŸ†αž–αžαŸ‹αžŸαžΌαžαŸ’αžš αž™αž€αž‘αŸ…αžŠαžΌαžšαž±αŸ’αž™αž’αŸ’αž“αž€αžšαžŸαŸ‹αž“αŸ…αžαžΆαž˜αž—αžΌαž˜αž·αž—αžΆαž‚αžαžΆαž„αž‡αžΎαž„αŸ” αž–αž½αž€αž‚αŸαžŠαžΉαž€αž“αžΆαŸ†αž™αž€αž˜αž€αžœαž·αž‰αž“αžΌαžœαž—αŸ„αž‚αž‘αŸ’αžšαž–αŸ’αž™
0Khmer
1,376
Interpretations
2English
2,440
arXiv:2009.03300, 2020.
2English
294
αž‘αžΈαžαžΆαŸ†αž„αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αž…αžšαž“αŸ’αž
0Khmer
773
αžαŸ’αž“αžΆαž€αŸ‹αž˜αŸαžαŸ’αžαžΆαž‡αŸ’αžšαžΆαž”αŸ‹αžαžΆ αŸ– αž€αŸ’αžšαž»αž˜αž αŸŠαž»αž“ QUAN DAT αž“αžΉαž„αž’αŸ’αžœαžΎαž€αžΆαžšαžŸαž˜αŸ’αž’αžΆαžαž‡αž‰αŸ’αž‡αžΆαŸ†αž„αž€αž‰αŸ’αž…αž€αŸ‹ αž“αž·αž„αž’αžΆαž›αž»αž™αž€αžΆαž”αŸ„αž“ αž’αž‚αžΆαžšαžαŸ’αž˜αžΈ
1Khmer + English
2,283
requires curating diverse seeds from organic sources.
2English
1,156
manager. He rubbed his hands all the time as if
2English
1,273
file_panel_item_rename = ['ctrl+r', '']
2English
End of preview. Expand in Data Studio

Khmer OCR Dataset Collection (KEPTA)

KEPTA stands for Khmer-English Printed Text Annotation.

This dataset and repository provide Khmer OCR annotation assets and utilities for preparing, cleaning, visualizing, and uploading the dataset to Hugging Face.

Why this dataset exists

  • Khmer is a low-resource language, and publicly available OCR benchmarks are limited.
  • This dataset is prepared to serve as a benchmark to enable fair comparison of OCR models and to support research and development on Khmer text recognition.
  • Benchmark preparation by: Soy Vitou and Eong Koungmeng.

Dataset summary

  • Task: OCR / text recognition (printed text crops)
  • Columns: id, image, label, language
  • Language labels: Khmer; Khmer + English; English

Dataset layout

  • annotation/label.txt: Tab-separated image_path<TAB>label; built from images.db plus the Gemini dataset (primary first). Crops live under annotation/image/....
  • annotation/normalization.txt: Normalized labels produced by normalization.py.
  • annotation/check_incorrect.txt: Lines where normalization changed text: original<TAB>normalized.
  • annotation/length_hist.jpg: Histogram of character lengths (generated by plot_length_histogram.py).
  • annotation/language_pie.jpg: Language mix pie chart (generated by plot_language_pie.py).

Citation

If you use this dataset, please cite:

@misc{soyvitou_kptma2026,
title        = {Khmer OCR Dataset Collection (KEPTA)},
author       = {Soy, Vitou and Eong, Koungmeng},
year         = {2026},
note         = {Benchmark dataset for Khmer OCR; arXiv preprint coming soon}
}

(Optional sections you can add later: β€œHow to load in πŸ€— Datasets”, evaluation protocol (CER/WER), license/ethics/data sources.)

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