id int64 1 3.38k | image imagewidth (px) 9 2.42k | label stringlengths 1 123 | language class label 3 classes |
|---|---|---|---|
781 | ααα : | 0Khmer | |
78 | Thus the wise win before | 2English | |
3,251 | α‘α¨α₯α αα αΌαααααααααααααα α | 0Khmer | |
1,889 | 10 | 2English | |
789 | ααΈαααα»αααΌα‘αΆα‘αΆααα½ -ααα ααααα αα·ααααααΆααααααα | 0Khmer | |
1,589 | 79.7 | 2English | |
1,021 | ααΆααααααα·αααααα’αΆαα·αααααΆααα αα·αααααΆα | 0Khmer | |
2,885 | αααααααααααα·αααα | 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 | αα·ααααααααΈααΆααααααααΆ | 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 | ααα | 0Khmer | |
1,900 | α’α α‘α€ | 0Khmer | |
51 | αααα½α | 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 | α’ααααΈα’ααΈ αα½ααααα½α | 0Khmer | |
3,265 | αααααα’αααααΉαααΆααα·ααααααΎααα»αααααΆαααααααααααα α ααΆαααααααΆαααααααΆαα±ααααΆαα
αααΆ | 0Khmer | |
1,285 | method, CNN predicts the angle of landscape photos without any preprocessing. It is also clear | 2English | |
984 | α
αααΆααααααΈααΈααΆααααααΎαααααα½αα’αααα αα»ααα αα·αααΈα‘αΆ | 0Khmer | |
420 | facilitate the teaching and learning of the Khmer language among a group of Grade 1 students | 2English | |
2,900 | ααΆααααΆ α’α - αααααααααααΆααααΆαα·ααααα | 0Khmer | |
592 | αααΆααα’αααα’αααααα·αααααααααΆα ααααΆαα’α α‘α©α | 0Khmer | |
130 | worry and think before making | 2English | |
3,068 | αα»αααΆααααα αΆα’αααα·ααΌααα αααααα
αΆαααααα
αΌααα
αααα»αααααααα·ααααΆααΌααα·ααα α’αΆαααααα ααα»ααα | 0Khmer | |
2,815 | cc.feedback2011 @gmail.comα | 1Khmer + English | |
3,376 | ααααα»ααααααααα·ααΎααααΈααΆααααααα | 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 | α₯,α | 0Khmer | |
2,739 | ααΆα
α»αααααα αααα»αααααΌααααααα’ααααα»αααααααΆααααα
ααα | 0Khmer | |
410 | regard to the usability and learnability of the Khmer language by focusing on vocabulary size, | 2English | |
1,412 | 7 | 2English | |
193 | ααΌαααααααΌα | 0Khmer | |
2,679 | αααααααα αααααα | 0Khmer | |
2,223 | ααΆαα
ααααΈααααααααααΆααα·ααααΆααααΆαααααΆααα
αααα»αααααΉαααΆαααΆαααΎ ααΎααααα»αααΆαα’αα»ααΆααα | 0Khmer | |
2,129 | ααΆααα·ααααΆ αα
ααααααα·ααααΆ ααα»ααααα½α | 0Khmer | |
1,406 | 6. Images with -90-degrees orientation predicted in 90-degrees category. | 2English | |
1,158 | Khmer (ααΆααΆααααα): | 1Khmer + English | |
3,062 | α
ααα’αααααα·αααααα·αααααααααααααααΏα α
αααΆα’αααααα·αααα αααααΆαααΏα ααΆαα’αΆααΆα ααΌα | 0Khmer | |
1,815 | 5,000 | 2English | |
9 | ExtraLight ααααααααααα»ααΆ α‘α’α£ 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 | α’ααααααΆαααααααααΈ α | 0Khmer | |
1,391 | sad().stop(); | 2English | |
2,543 | Generation 8, Class E4, Information Technology of Engineering Department | 2English | |
2,193 | ααΎαααΌααΆαα±ααααΆαααΆαα
αΌααα½αααΈααααα½αααααΆααααααααααααΌα’αα·αααααααα·αααααααααΈαα·α | 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 | αα·α | 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 | ααΆα
αααΆαααααααααΌαααΆααααααααΆα’αα»αααααΆααΆααΆααααα ααΆαα²ααα’ααααα | 0Khmer | |
3,132 | ααααΎαααΆαααααΉαααααα»αα
αΆαααα»α" α | 0Khmer | |
2,738 | αα½αα
ααα½ααααα»αα’αααααααααααΆααααααααααααααα | 0Khmer | |
842 | α₯. ααΎα’αααα
αΌαα
α·ααααα»αααα’αααααα½αααΆ? ααΌαααααΆααα²ααααΎαααΉαααα | 0Khmer | |
2,683 | ααΆααααααΆαα·ααΆα | 0Khmer | |
2,544 | Faculty of Engineering, Royal University of Phnom Penh | 2English | |
1,771 | α§ααααΆα αααα | 0Khmer | |
3,324 | αααααΆα: α‘α£.α α©.α’α α‘α₯ ααααααα α‘α’.α α©.α’α α’α₯ | 0Khmer | |
477 | αααα’αΆα
αααααααααΆααααΆαααΆαααα "ααααΆααααααααααΆααα―αααΆα verify.gov.kh" | 1Khmer + English | |
1,918 | α§,α‘ | 0Khmer | |
3,275 | α‘ | 0Khmer | |
2,199 | α‘α¦.α‘ | 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 | αα»αααα’ααααααα | 0Khmer | |
18 | ααααα»ααΆααααΌαααΆαααααααΆααααΆααΌαα
ααΆ Cambodia ααΆααΆααΆα’ααααααα | 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 | αααα
ααα
ααΆααααααααααΆααααααααααααΆαααααααα | 0Khmer | |
620 | Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al. | 2English | |
784 | αααααααΈ αααααααααααΈααααα½α α’αααα αα»ααααα·αααΈα‘αΆ ααΆαα’ααααΎαα’α | 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 | α
αααΆααΆα | 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 | αααααααΌααα αααα
ααΌαα±ααα’αααααααα
ααΆαααΌαα·ααΆαααΆαααΎαα αα½αααααΉαααΆααααααα·αααΌαααααααααα | 0Khmer | |
1,376 | Interpretations | 2English | |
2,440 | arXiv:2009.03300, 2020. | 2English | |
294 | ααΈααΆααααααΎααααΆααα
αααα | 0Khmer | |
773 | ααααΆααααααααΆααααΆααααΆ α αααα»αα αα»α QUAN DAT ααΉαααααΎααΆααααα’αΆααααααΆαααααα
αα αα·αα’αΆαα»αααΆααα α’ααΆαααααΈ | 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 |
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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-separatedimage_path<TAB>label; built fromimages.dbplus the Gemini dataset (primary first). Crops live underannotation/image/....annotation/normalization.txt: Normalized labels produced bynormalization.py.annotation/check_incorrect.txt: Lines where normalization changed text:original<TAB>normalized.annotation/length_hist.jpg: Histogram of character lengths (generated byplot_length_histogram.py).annotation/language_pie.jpg: Language mix pie chart (generated byplot_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: βHow to load in π€ Datasetsβ, evaluation protocol (CER/WER), license/ethics/data sources.)
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