nlprep

Feature

• handle over 100 dataset
• generate statistic report about processed dataset
• support many pre-processing ways
• Provide a panel for entering your parameters at runtime
• easy to adapt your own dataset and pre-processing utility

Online Explorer

https://voidful.github.io/NLPrep-Datasets/

Documentation

Learn more from the docs.

Quick Start

Installing via pip

pip install nlprep

get one of the dataset

nlprep --dataset clas_udicstm --outdir sentiment

You can also try nlprep in Google Colab:

Overview

$ nlprep
arguments:
  --dataset     which dataset to use     
  --outdir      processed result output directory       
  
optional arguments:
  -h, --help    show this help message and exit
  --util        data preprocessing utility, multiple utility are supported 
  --cachedir    dir for caching raw dataset
  --infile      local dataset path
  --report      generate a html statistics report

Contributing

Thanks for your interest.There are many ways to contribute to this project. Get started here.

License

• License

Icons reference

Icons modify from Darius Dan from www.flaticon.com
Icons modify from Freepik from www.flaticon.com