maroondata.py

"""Maroon Indonesian 100k Summarization Dataset."""


import json
import os

import datasets

_DESCRIPTION = """\
Combine IndoSum + Liputan6 in 100k rows. 
"""

_URL = "https://huggingface.co/datasets/bgspaditya/maroon100k/blob/main/maroondata.tar.bz2"

class Maroon100k(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("2.0.0")
    
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="Maroon100k",
            version=datasets.Version("2.0.0")
        )
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "article": datasets.Value("string"),
                    "summary": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            # citation=_CITATION,
            # license=_LICENSE,
            version=self.VERSION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        url = _URL

        data_dir = dl_manager.download_and_extract(url)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": os.path.join(data_dir, "train.jsonl"),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": os.path.join(data_dir, "test.jsonl"),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "filepath": os.path.join(data_dir, "valid.jsonl"),
                },
            ),
        ]

    def _generate_examples(self, filepath):
        """Yields examples as (key, example) tuples."""
        with open(filepath, encoding="utf-8") as f:
            for idx_, row in enumerate(f):
                data = json.loads(row)
                yield idx_, {
                    "article": data["article"],
                    "summary": data["summary"],
                }