language_identification.py

#!/usr/bin/python3
# -*- coding: utf-8 -*-
from glob import glob
import json
import os
from pathlib import Path

import datasets


_URLS = {
    "amazon_reviews_multi": "data/amazon_reviews_multi.jsonl",
}


_CITATION = """\
@dataset{language_identification,
  author       = {Xing Tian},
  title        = {language_identification},
  month        = aug,
  year         = 2024,
  publisher    = {Xing Tian},
  version      = {1.0},
}
"""


class LanguageIdentification(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="amazon_reviews_multi", version=VERSION, description="amazon_reviews_multi"),
    ]

    def _info(self):
        features = datasets.Features(
            {
                "text": datasets.Value("string"),
                "language": datasets.Value("string"),
                "data_source": datasets.Value("string"),
            }
        )

        return datasets.DatasetInfo(
            features=features,
            supervised_keys=None,
            homepage="",
            license="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        url = _URLS[self.config.name]
        dl_path = dl_manager.download(url)
        archive_path = dl_path

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"archive_path": archive_path, "split": "train"},
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={"archive_path": archive_path, "split": "validation"},
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={"archive_path": archive_path, "split": "test"},
            ),
        ]

    def _generate_examples(self, archive_path, split):
        archive_path = Path(archive_path)

        idx = 0
        with open(archive_path, "r", encoding="utf-8") as f:
            for row in f:
                sample = json.loads(row)

                if sample["split"] != split:
                    continue

                yield idx, {
                    "text": sample["text"],
                    "language": sample["language"],
                    "data_source": sample["data_source"],
                }
                idx += 1


if __name__ == '__main__':
    pass