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@@ -12,40 +12,50 @@ pretty_name: khmer handwritten dataset 4.2k images
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  4.2k images khmer handwritten Dataset
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  This repository contains a dataset of khmer handwritten dataset
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- Installation
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- Prerequisites
 
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  Before cloning this repository, make sure you have Git LFS installed:
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- Install Git LFS
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- Linux/macOS:
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- curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
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- sudo apt install git-lfs
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- Windows: Download and install Git LFS from git-lfs.github.com
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- Clone the Repository
 
 
 
 
 
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  git clone https://github.com/SoyVitou/khmer-handwritten-dataset-4.2.git
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  cd khmer-handwritten-dataset-4.2
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- Pull LFS Files
 
 
 
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  git lfs install
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  git lfs pull
 
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- Usage
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  You can load the dataset using Python with Pandas:
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  import pandas as pd
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-
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  # Load training set
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  df_train = pd.read_parquet("trainset.parquet")
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  print(df_train.head())
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-
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  # Load validation set
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  df_valid = pd.read_parquet("validset.parquet")
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  print(df_valid.head())
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-
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  # Load test set
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  df_test = pd.read_parquet("testset.parquet")
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  print(df_test.head())
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- License
 
 
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  [Specify your license here, e.g., MIT, Apache 2.0, etc.]
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- Contact
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  For any issues or inquiries, please contact telegram: 0964060587.
 
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  4.2k images khmer handwritten Dataset
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  This repository contains a dataset of khmer handwritten dataset
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+ ## Installation
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+
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+ ### Prerequisites
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  Before cloning this repository, make sure you have Git LFS installed:
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+ #### Install Git LFS
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+ - **Linux/macOS:**
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+ ```sh
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+ curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
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+ sudo apt install git-lfs
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+ ```
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+ - **Windows:**
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+ Download and install Git LFS from [git-lfs.github.com](https://git-lfs.github.com/)
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+
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+ ### Clone the Repository
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+ ```sh
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  git clone https://github.com/SoyVitou/khmer-handwritten-dataset-4.2.git
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  cd khmer-handwritten-dataset-4.2
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+ ```
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+
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+ ### Pull LFS Files
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+ ```sh
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  git lfs install
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  git lfs pull
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+ ```
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+ ## Usage
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  You can load the dataset using Python with Pandas:
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+ ```python
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  import pandas as pd
 
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  # Load training set
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  df_train = pd.read_parquet("trainset.parquet")
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  print(df_train.head())
 
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  # Load validation set
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  df_valid = pd.read_parquet("validset.parquet")
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  print(df_valid.head())
 
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  # Load test set
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  df_test = pd.read_parquet("testset.parquet")
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  print(df_test.head())
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+ ```
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+
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+ ## License
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  [Specify your license here, e.g., MIT, Apache 2.0, etc.]
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+ ## Contact
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  For any issues or inquiries, please contact telegram: 0964060587.