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import json
import csv
import datasets
import requests
import os
_CITATION = """\\
@article{ParsBERT,
title={ParsBERT: Transformer-based Model for Persian Language Understanding},
author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
journal={ArXiv},
year={2020},
volume={abs/2005.12515}
}
"""
_DESCRIPTION = """\\\\\\\\
A dataset of various news articles scraped from different online news agencies’ websites. The total number of articles is 16,438, spread over eight different classes.
"""
_DRIVE_URL = "https://drive.google.com/uc?export=download&id=1B6xotfXCcW9xS1mYSBQos7OCg0ratzKC"
class PersianNewsConfig(datasets.BuilderConfig):
"""BuilderConfig for PersianNews Dataset."""
def __init__(self, **kwargs):
super(PersianNewsConfig, self).__init__(**kwargs)
class PersianNews(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
PersianNewsConfig(name="Persian News", version=datasets.Version("1.0.0"), description="persian classification dataset on online agencie's articles"),
]
def _info(self):
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# datasets.features.FeatureConnectors
features=datasets.Features(
{
"content": datasets.Value("string"),
"label": datasets.Value("string"),
"label_id": datasets.Value(dtype='int64')
}
),
supervised_keys=None,
# Homepage of the dataset for documentation
homepage="https://hooshvare.github.io/docs/datasets/tc#persian-news",
citation=_CITATION,
)
def custom_dataset(self, src_url, dest_path):
response = requests.get(src_url)
response.raise_for_status()
with open(dest_path, 'wb') as f:
f.write(response.content)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
# dl_manager is a datasets.download.DownloadManager that can be used to
# download and extract URLs
downloaded_file = dl_manager.download_custom(_DRIVE_URL, self.custom_dataset)
extracted_file = dl_manager.extract(downloaded_file)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/train.csv')}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/test.csv')}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/dev.csv')}),
]
def _generate_examples(self, filepath):
try:
with open(filepath, encoding="utf-8") as f:
reader = csv.DictReader(f, delimiter="\t")
for idx, row in enumerate(reader):
yield idx, {
"content": row["content"],
"label": row["label"],
"label_id": row["label_id"],
}
except Exception as e:
print(e)
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