semvec/pypi-packages huggingface dataset:
yarub 0.1.0
This is code with Modern standard arabic training dataset
License: MIT
Keywords: Arabic Training dataset

Yarub
=====

This is a head start to Modern standard arabic training dataset library which provides Morphological, Named Entity recognization, Sentiment Analysis, Word Embedding, Dialect Identification,Part of speech and so on training dataset.
                                                                                                                                                                                                                                       

Downloading the library with specific version using pip command.
================================================================

``pip install yarub==0.1.0``

Basic Instruction
=================

-  You need to first install dependent libraries before download like
   ``requests``, ``zipfile``,\ ``os``, ``io`` and ``struct``.
-  After successful installation of dependent library you can install
   ``Yarub`` library with pip command.

Example of ``Yarub``
====================

::

   import yarub  # Load Library package
   from yarub import load_sentiment,load_ner,load_dialect,load_word_embedding,load_morphology,load_pos

OR
==

::

   from yarub import *    # Second method to call library and load entire function.

Load the dataset in your local system.
======================================

::


   df = load_sentiment()   # This function wil load `Sentiment analysis` training dataset

   df1 = load_ner()        # This function will load `Named entity recognization` training dataset.

   df2 = load_dialect()     # This function will load modern standard arabic `Dialect identification` training dataset.

   df3 = load_word_embedding()   # This function will load `Word embedding` training dataset.

   df4 = load_morphology()       # This function will load  `Morphological analysis` training dataset.

   df5 = load_pos()             # This function will load `Part of speech` training dataset.