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import csv
import datasets
import os
_DESCRIPTION = "TODO"
_HOMEPAGE = "TODO"
_LICENSE = "TODO"
_URL = {"UltimateArabic":"https://huggingface.co/datasets/khalidalt/ultimate_arabic_news/blob/main/UltimateArabic.csv","UltimateArabicPrePros":"https://huggingface.co/datasets/khalidalt/ultimate_arabic_news/raw/main/UltimateArabicPrePros.csv"}
class UAN_Config(datasets.BuilderConfig):
"""BuilderConfig for Ultamte Arabic News"""
def __init__(self, **kwargs):
"""
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(UAN_Config, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
class Ultimate_Arabic_News(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
UAN_Config(
name="UltimateArabic",
description=textwrap.dedent(
"""\
UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words,
numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural
language processing tasks such as text classification."""
),
),
UAN_Config(
name="UltimateArabicPrePros",
description=textwrap.dedent(
"""UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where
the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been
removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text
classification.
"""
),
),
]
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