Upload dga-detector.py
Browse files- dga-detector.py +49 -0
dga-detector.py
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from datasets import GeneratorBasedBuilder, DownloadConfig, SplitGenerator, SplitInfo, DatasetInfo
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import pandas as pd
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import os
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class MyDataset(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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# Load your local dataset file
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csv_path = "/mnt/git-repos/deepDGAgen/rawdata/argencon.csv.gz"
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return [
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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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# Read your CSV dataset
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dataset = pd.read_csv(filepath)
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# You can filter or split your dataset based on the 'split' argument if necessary
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# Generate examples
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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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