dga-detector.py

import datasets
import pandas as pd
import os


class MyDataset(datasets.GeneratorBasedBuilder):
    def _info(self):

        return datasets.DatasetInfo(
            description="DESCRIPTION",
            features=datasets.Features(
                {"domain": datasets.Value("string"), "label": datasets.Value("string")}
            ),
            supervised_keys=("domain", "label"),
            homepage="_HOMEPAGE",
        )


    def _split_generators(self, dl_manager: DownloadConfig):
        # Load your local dataset file
        csv_path = "https://huggingface.co/datasets/harpomaxx/dga-detection/raw/main/argencon.csv.gz"

        return [
            datasets.SplitGenerator(
                name=split,
                gen_kwargs={
                    "filepath": csv_path,
                    "split": split,
                },
            )
            for split in ["train", "test", "validation"]
        ]

    def _generate_examples(
        self,
        filepath: str,
        split: str,
    ):
        # Read your CSV dataset
        dataset = pd.read_csv(filepath)

        # You can filter or split your dataset based on the 'split' argument if necessary

        # Generate examples
        for index, row in dataset.iterrows():
            yield index, {
                "domain": row["domain"],
                "label": row["label"],
            }