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import datasets
import csv
import os
import sys
csv.field_size_limit(sys.maxsize)
_DESCRIPTION = """persian_blog is a dataset consist of 700K blog posts from various websites and has types of tones.
this dataset can be used in different NLG tasks and as a show-case it's is used in training reformer-persian."""
_PROJECT_URL = """"""
_CITATION = """
https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
}
"""
train = "train.zip"
test = "test.zip"
class persian_blog_V2(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string")
}
),
homepage=_PROJECT_URL,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
dl_train = dl_manager.download_and_extract(train)
dl_test = dl_manager.download_and_extract(test)
train_dir = os.path.join(dl_train, "train.csv")
test_dir = os.path.join(dl_test, "test.csv")
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_dir}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_dir}),
]
def _generate_examples(self, filepath):
"""Yields examples."""
with open(filepath, encoding="utf-8") as f:
reader = csv.reader(f)
for id_, row in enumerate(reader):
if id_ == 0:
continue
yield id_, {
"text": row[0]
}
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