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import datasets |
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import pandas as pd |
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import os |
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class MyDataset(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="DESCRIPTION", |
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features=datasets.Features( |
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{"domain": datasets.Value("string"), "label": datasets.Value("string")} |
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), |
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supervised_keys=("domain", "label"), |
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homepage="_HOMEPAGE", |
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) |
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def _split_generators(self, dl_manager: DownloadConfig): |
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csv_path = "https://huggingface.co/datasets/harpomaxx/dga-detection/raw/main/argencon.csv.gz" |
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return [ |
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datasets.SplitGenerator( |
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name=split, |
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gen_kwargs={ |
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"filepath": csv_path, |
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"split": split, |
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}, |
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) |
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for split in ["train", "test", "validation"] |
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] |
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def _generate_examples( |
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self, |
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filepath: str, |
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split: str, |
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): |
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dataset = pd.read_csv(filepath) |
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for index, row in dataset.iterrows(): |
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yield index, { |
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"domain": row["domain"], |
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"label": row["label"], |
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} |
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