NER_Gujarati_data.py

import json
import os

import datasets

_CITATION = """\
"""

_DESCRIPTION = """\
"""

_URL = "https://huggingface.co/datasets/Red-8/NER_Gujarati_data/blob/main/datas.zip"

class RedConfig(datasets.BuilderConfig):
    """BuilderConfig for Red dataset"""

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

class Red(datasets.GeneratorBasedBuilder):

    BUILDER_CONFIGS = [
        RedConfig(
            name="NER_Gujarati_data", version=datasets.Version("1.0.0")
        ),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "tokens": datasets.Sequence(datasets.Value("string")),
                    "ner_tags": datasets.Sequence(
                        datasets.features.ClassLabel(
                            names=[
                                "O",
                                "B-PERIOD",
                                "I-PERIOD",
                                "B-DURATION",
                                "I-DURATION",
                                "B-WEATHER",
                                "I-WEATHER",
                                "B-DIGIT",
                                "I-DIGIT",
                                "B-NUMINAL",
                                "I-NUMINAL",
                            ]
                        )
                    ),
                }
            ),
            supervised_keys=None,
            citation=_CITATION,
        )

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

        data_dir = dl_manager.download_and_extract(_URL)

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": os.path.join(data_dir,"train_data.json"),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": os.path.join(data_dir,"test_data.json"),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "filepath": os.path.join(data_dir,"val_data.json"),
                },
            ),
        ]

    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_, {"tokens": data["text"], "ner_tags": data["label"]}