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import os
import pandas as pd
import datasets
_CITATION = """\
@InProceedings{YourReferenceHere,
}
"""
_DESCRIPTION = """\
Description of your dataset.
"""
_HOMEPAGE = "https://dataset-homepage/"
_LICENSE = "Dataset License"
_URLS = {
"Network-Flows": "Network-Flows/CICIDS_Flow.csv",
"Packet-Fields": "Packet-Fields/Packet_Fields_File_10.csv",
"Packet-Bytes": "Packet-Bytes/Packet_Bytes_File_10.csv",
"Payload-Bytes": "Payload-Bytes/Payload_Bytes_File_10.csv",
}
class CICIDS2017(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name=config_name, version=VERSION, description=f"This part of my dataset covers {config_name}")
for config_name in _URLS.keys()
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
# TODO: Adjust features according to your dataset
"flow_id": datasets.Value("int64"),
"attack_label": datasets.Value("string"),
# More columns...
}),
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
url = os.path.join(self.config.data_dir, _URLS[self.config.name])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": url},
),
]
def _generate_examples(self, filepath):
df = pd.read_csv(filepath)
for id_, row in df.iterrows():
yield id_, row.to_dict() |