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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/

Quick Start

Installing via pip

pip install nlprep

get one of the dataset

nlprep --dataset clas_udicstm --outdir sentiment --util

You can also try nlprep in Google Colab: 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 PyPI - License

Icons reference

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