---
license: mit
task_categories:
- text-generation
- image-classification
language:
- km
- en
tags:
- ocr
- khmerocr
- font-printed-text-dataset
pretty_name: Khmer-Printed-Text-Dataset
size_categories:
- 10K<n<100K
---
# 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:**
  ```sh
  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](https://git-lfs.github.com/)

### Clone the Repository
```sh
git clone https://github.com/SoyVitou/62k-images-khmer-printed-dataset.git
cd 62k-images-khmer-printed-dataset
```

### Pull LFS Files
```sh
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:

```python
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].