mysampledata.py

import json
import datasets

logger = datasets.logging.get_logger(__name__)


_CITATION = ""

_DESCRIPTION = ""

_URL = "https://github.com/jamescalam/hf-datasets/raw/main/01_builder_script/dataset.tar.gz"


class MyData(datasets.GeneratorBasedBuilder):

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "sub": datasets.Value("string"),
                    "title": datasets.Value("string"),
                    "selftext": datasets.Value("string"),
                    "upvote_ratio": datasets.Value("float32"),
                    "id": datasets.Value("string"),
                    "created_utc": datasets.Value("float32"),
                }
            ),
            # No default supervised_keys (as we have to pass both question
            # and context as input).
            supervised_keys=None,
            homepage="https://rajpurkar.github.io/SQuAD-explorer/",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download_and_extract(_URL)

        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, 
                                    gen_kwargs={"filepath": downloaded_files+'/dataset.jsonl'})
            ]

    def _generate_examples(self, filepath):
        """This function returns the examples in the raw (text) form."""
        logger.info("generating examples from = %s", filepath)
        key = 0
        with open(filepath, encoding="utf-8") as f:
            for line in f:
                Obj = json.loads(line)
                yield key, Obj
                key += 1