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αα
αα·α αα
αα αααΆα ααα· αααα αα·α ααα· αααα»α α ααΎ αα·αα·ααα |
|
ααα»αααα
αΆαααααΎαα½ααΆααΈβ |
|
ααα·α αα |
|
their advantage to form part of our glorious |
|
ααα |
|
αα·α ααααΆ αααα ααααΆαα ααΆαα’αα αααααα ααα ααααα αα½αααααα α’αααΆα
ααααΆα
αααΆαααΆα ααααααααα |
|
ααΎ αααααααΈααΆαααΆα ααΆα ααα»ααααΆα αααααα ? α
αΌα αααααΆαα αααααα ? αααααααΈααΆαααΆα |
|
3665050 |
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α αα·αααα· ααα½αααΆα ααΌα ααΆα ααΆαααΆαα αα·αααα· ααα α
αα αααα
αααΆα ααΌααααΌααΆα ααα αα·αααα· |
|
α’αααΆα
αα·αα’αα·ααααααααΆα |
|
ααααααΆαα |
|
was now doing her |
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αα·ααααααααΆα |
|
αα»ααααα·αα·ααΆα |
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α€α¦α¦ ααΆαα ααααΌα ααΆ α₯α’. |
|
land and sea. You have fairly earned |
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α₯ααααΌ |
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αααα»α |
|
αα·α ααα ααΆαα» αααααΆαα αα αα
α’αα»αααα αααα»α ααΈαα·α αααα
αΆα αααα ααΎααααΈ ααΆα ααα
ααααΈαα»α |
|
ααααΉα |
|
αααααΆ |
|
αα»αααΆ |
|
ααααααΆ |
|
ααΈ ααΆααααααααΆ α
αα |
|
ααΌααααααα ... |
|
αα·ααααα· |
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αααα»αα’αα‘α»ααααα‘α€αααα |
|
[ α αΌα’ααΌ α αΌ... αα... αα ααΊ ααααΆαα ] α ( α
αααα αααα ααα |
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ααα αα ααΆα ααααα αα»α α αα |
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ααααΆααααα’ααααΆαααΆ |
|
αααΈα |
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ααΆα ααΆααααααααΉααα |
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αα·α α²αα αα·ααα ααα’ |
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αααα’α |
|
ααααΆα
ααΆα αΆαααααα₯. |
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αα½α ααΆ ααα ααΆ αααα·α |
|
fight to the death for |
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ααααααα»αα·(ααΆαααααα αΆα |
|
αααα |
|
αα·αα’αα·αααααααααα αΆαα·ααα |
|
they are to-day. The future lies with |
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αα·αααα» |
|
ααΌαα ααα»ααααΆαααααΌα
ααΆα |
|
ααααΆααααααΆ αα·α |
|
Β ααααααααΒ (ααΈα‘αααα‘α ααααΆα) |
|
-ααααΉααααααΆ)α |
|
αααααΆα αα·αααα· |
|
αα αΆααα |
|
ααΌααααααααΆ |
|
αα»αα
αα ααΎ αααα ααα α ααα ααααΆα
αα»αα»ααααΈ αα αα·α αα αα·α ααΎα |
|
on the rascal. Oscar's next movement was to |
|
α―αα―α |
|
αααααΌααααΈααααΆαααααΉα |
|
αα |
|
α§αααααα |
|
α§αααα ααα·ααα αα’α¦ . ααααΆα
α
α·ααα ααααΆααΈ ααΆααΆαα·ααΆ α αΎα αααα ααΆα α±ααΆα |
|
αα»αααΆα |
|
α’αααααααααααααα |
|
ααααΆαα ααΎ αα·α αααα ααααααααααΆα α’αα»αααα α²αα ααΆα ααααα·αααα·ααΆα ααααα |
|
αααααα·αααα·ααααΆαα
αα·ααα
αα |
|
ααααααααα |
|
ααααα·α |
|
the fight became hotter than ever, |
|
αα»ααα |
|
ααα’ααααααα |
|
αααααΆα |
|
αααα ααααααα·ααααα
αα·α |
|
won't know what to |
|
ααααΌαααΆα ααΆαααααααΌα α α― ααααα αα·α αα ααααΌα αααααΎα αααΆαα·α αααα αααα½α α¬ |
|
ααααΆα αααα α ααααΏα α
α»αααααα αααα»α αααααα ααααα»ααΆ ααααΎα‘αΎα α
αΆααααΈ Β ααααααΈ |
|
α α. ααΎ |
|
αα
ααα
ααααααΆααααΈαααααΆαα |
|
αααααΆα |
|
Another Blowing Up CHAPTER X. The |
|
ααΆαααααΎ α
αααΆααααα»α |
|
ααααΌαα ααα |
|
carefully sighted. Touch off! was |
|
αααααα |
|
back, since gold was |
|
α’αΆα
αΆααΆ -- |
|
αααΆα |
|
ααααα α ααα ααααΉα α
ααααΆα |
|
α’ααααααΌα |
|
ααααα ααααΆααΈ |
|
ααα½αααααΌαααααΈ |
|
ααΆαα· αααααΆαα α |
|
ααΆα ααΌα |
|
αα·α ααα ααΆαααααα |
|
ααΆ α’αααΆ αα½α αααααααΆ |
|
α |
|
ααΎααααΈαααααΎααααΌααα |
|
to a sudden halt. Her screws continued |
|
αα·αααααΆ |
|
ααΆ αα·α |
|
ααααα ααΌα
αααα ααΌα α’αΆα ! |
|
ααΆα ααααΌαααΆα Β - ααΆαααΆααα |
|
ααΆααααΆα |
|
plates had to be re-riveted. Besides this, |
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ααααΉαααΆα αα α’αα»αααααΆ ααα |
|
αα·αα§ααααα |
End of preview. Expand
in Data Studio
62k Khmer-English Printed Dataset
This repository contains a dataset of Khmer and English printed text images for training, validation, and testing. The dataset is stored in parquet
format and managed using Git Large File Storage (LFS).
Installation
Prerequisites
Before cloning this repository, make sure you have Git LFS installed:
Install Git LFS
- Linux/macOS:
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash sudo apt install git-lfs
- Windows: Download and install Git LFS from git-lfs.github.com
Clone the Repository
git clone https://github.com/SoyVitou/62k-images-khmer-printed-dataset.git
cd 62k-images-khmer-printed-dataset
Pull LFS Files
git lfs install
git lfs pull
Dataset Files
trainset.parquet
(1.92 GB) - Training set with Khmer and English printed text.validset.parquet
- Validation set.testset.parquet
(238 MB) - Testing set with Khmer and English printed text.
Usage
You can load the dataset using Python with Pandas:
import pandas as pd
# Load training set
df_train = pd.read_parquet("trainset.parquet")
print(df_train.head())
# Load validation set
df_valid = pd.read_parquet("validset.parquet")
print(df_valid.head())
# Load test set
df_test = pd.read_parquet("testset.parquet")
print(df_test.head())
License
[Specify your license here, e.g., MIT, Apache 2.0, etc.]
Contact
For any issues or inquiries, please contact [your email or GitHub profile].
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