hebrew_news.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import csv
import os.path

import datasets
from urllib.parse import urlparse

_CITATION = """
"""

_DESCRIPTION = """\
"""


class HebrewNewsConfig(datasets.BuilderConfig):
    """BuilderConfig"""

    def __init__(self, **kwargs):
        """BuilderConfig
        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        super(HebrewNewsConfig, self).__init__(**kwargs)


class HebrewNews(datasets.GeneratorBasedBuilder):
    """HebrewNews dataset."""

    BUILDER_CONFIGS = [
        HebrewNewsConfig(
            name="hebrew_news", version=datasets.Version("1.0.0"),
            description=f"hebrew news dataset"
        )
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "id": datasets.Value("string"),
                    "articleBody": datasets.Value("string"),
                    "description": datasets.Value("string"),
                    "headline": datasets.Value("string"),
                    "title": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        urls_to_download = "data/news.tar.gz"
        downloaded_files = dl_manager.download_and_extract(urls_to_download)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"filepath": downloaded_files},
            ),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as f:
            fieldnames = ["articleBody", "description", "headline", "title"]
            reader = csv.DictReader(f, delimiter=",", fieldnames=fieldnames)
            for idx, row in enumerate(reader):
                yield idx, {
                    "id": idx,
                    "articleBody": row["articleBody"],
                    "description": row["description"],
                    "headline": row["headline"],
                    "title": row["title"],
                }