Datasets:
Tasks:
Summarization
Modalities:
Text
Sub-tasks:
news-articles-summarization
Languages:
Hebrew
Size:
100K - 1M
License:
Commit
•
0935a99
1
Parent(s):
1dba994
init
Browse files- data/news.tar.gz +3 -0
- hebrew_news.py +76 -0
data/news.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca04dec098e4f775891e5c3ad9c32571e4c2c5d335eb4f44b4a5e71a63bfc64c
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size 213600962
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hebrew_news.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import csv
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import os.path
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import datasets
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from urllib.parse import urlparse
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_CITATION = """
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"""
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_DESCRIPTION = """\
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"""
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class HebrewNewsConfig(datasets.BuilderConfig):
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"""BuilderConfig"""
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def __init__(self, **kwargs):
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"""BuilderConfig
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(HebrewNewsConfig, self).__init__(**kwargs)
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class HebrewNews(datasets.GeneratorBasedBuilder):
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"""HebrewNews dataset."""
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BUILDER_CONFIGS = [
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HebrewNewsConfig(
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name="hebrew_news", version=datasets.Version("1.0.0"),
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description=f"hebrew news dataset"
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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"articleBody": datasets.Value("string"),
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"description": datasets.Value("string"),
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"headline": datasets.Value("string"),
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"title": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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homepage="",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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urls_to_download = "data/news.tar.gz"
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"filepath": downloaded_files},
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),
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]
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def _generate_examples(self, filepath):
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with open(filepath, encoding="utf-8") as f:
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fieldnames = ["articleBody", "description", "headline", "title"]
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reader = csv.DictReader(f, delimiter=",", fieldnames=fieldnames)
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for idx, row in enumerate(reader):
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yield idx, {
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"id": idx,
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"articleBody": row["articleBody"],
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"description": row["description"],
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"headline": row["headline"],
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"title": row["title"],
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}
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