Datasets:
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Browse files- .gitattributes +1 -0
- README.md +20 -0
- kddcup.data +3 -0
- kddcup.py +151 -0
.gitattributes
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kddcup.data filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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tags:
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- kddcup
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- tabular_classification
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- binary_classification
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pretty_name: Kddcup
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task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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- tabular-classification
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configs:
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- kddcup
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---
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# Kddcup
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The Kddcup dataset.
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# Configurations and tasks
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| **Configuration** | **Task** |
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|-----------------------|---------------------------|
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| kddcup | Multiclass classification.|
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kddcup.data
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ec2301a9a5d81b40937ba155b4713a77b60e85b89f0423257e58d566aa979fb
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size 742579829
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kddcup.py
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"""Kddcup Dataset"""
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from typing import List
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from functools import partial
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import datasets
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import pandas
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VERSION = datasets.Version("1.0.0")
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_ENCODING_DICS = {
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"class": {value: i
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for value, i in enumerate("normal.",
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"buffer_overflow.",
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"loadmodule.",
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"perl.",
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"neptune.",
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"smurf.",
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"guess_passwd.",
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"pod.",
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"teardrop.",
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"portsweep.",
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"ipsweep.",
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"land.",
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"ftp_write.",
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"back.",
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"imap.",
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"satan.",
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"phf.",
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"nmap.",
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"multihop.",
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"warezmaster.",
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"warezclient.",
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"spy.",
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"rootkit.")
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}
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}
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DESCRIPTION = "Kddcup dataset."
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_HOMEPAGE = ""
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_URLS = ("")
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_CITATION = """"""
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# Dataset info
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urls_per_split = {
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"train": "https://huggingface.co/datasets/mstz/kddcup/resolve/main/kddcup.data"
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}
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features_types_per_config = {
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"kddcup": {
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"duration": datasets.Value("float"),
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"protocol_type": datasets.Value("string"),
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"service": datasets.Value("string"),
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"flag": datasets.Value("string"),
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"src_bytes": datasets.Value("integer"),
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"dst_bytes": datasets.Value("integer"),
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"land": datasets.Value("integer"),
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"wrong_fragment": datasets.Value("integer"),
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"urgent": datasets.Value("integer"),
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"hot": datasets.Value("integer"),
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"num_failed_logins": datasets.Value("integer"),
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"logged_in": datasets.Value("integer"),
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"num_compromised": datasets.Value("integer"),
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"root_shell": datasets.Value("integer"),
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"su_attempted": datasets.Value("integer"),
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"num_root": datasets.Value("integer"),
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"num_file_creations": datasets.Value("integer"),
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"num_shells": datasets.Value("integer"),
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"num_access_files": datasets.Value("integer"),
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"num_outbound_cmds": datasets.Value("integer"),
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"is_host_login": datasets.Value("integer"),
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"is_guest_login": datasets.Value("integer"),
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"count": datasets.Value("integer"),
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"srv_count": datasets.Value("integer"),
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"serror_rate": datasets.Value("float"),
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"srv_serror_rate": datasets.Value("float"),
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"rerror_rate": datasets.Value("float"),
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"srv_rerror_rate": datasets.Value("float"),
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"same_srv_rate": datasets.Value("float"),
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"diff_srv_rate": datasets.Value("float"),
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"srv_diff_host_rate": datasets.Value("float"),
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"dst_host_count": datasets.Value("integer"),
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"dst_host_srv_count": datasets.Value("integer"),
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"dst_host_same_srv_rate": datasets.Value("float"),
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"dst_host_diff_srv_rate": datasets.Value("float"),
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"dst_host_same_src_port_rate": datasets.Value("float"),
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"dst_host_srv_diff_host_rate": datasets.Value("float"),
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"dst_host_serror_rate": datasets.Value("float"),
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"dst_host_srv_serror_rate": datasets.Value("float"),
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"dst_host_rerror_rate": datasets.Value("float"),
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"dst_host_srv_rerror_rate": datasets.Value("float"),
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"class": datasets.ClassLabel(num_classes=23,
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names=("normal.", "buffer_overflow.", "loadmodule.", "perl.", "neptune.",
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"smurf.", "guess_passwd.", "pod.", "teardrop.", "portsweep.",
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"ipsweep.", "land.", "ftp_write.", "back.", "imap.", "satan.",
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"phf.", "nmap.", "multihop.", "warezmaster.", "warezclient.",
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"spy.", "rootkit.")),
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}
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}
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features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
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class KddcupConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super(KddcupConfig, self).__init__(version=VERSION, **kwargs)
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self.features = features_per_config[kwargs["name"]]
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class Kddcup(datasets.GeneratorBasedBuilder):
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# dataset versions
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DEFAULT_CONFIG = "kddcup"
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BUILDER_CONFIGS = [
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KddcupConfig(name="kddcup", description="Kddcup for multiclass classification.")
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]
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def _info(self):
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info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
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features=features_per_config[self.config.name])
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return info
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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downloads = dl_manager.download_and_extract(urls_per_split)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}),
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]
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def _generate_examples(self, filepath: str):
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data = pandas.read_csv(filepath, header=None)
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data = self.preprocess(data)
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for row_id, row in data.iterrows():
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data_row = dict(row)
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yield row_id, data_row
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def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
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data.columns = [f"feature_{i}" for i in range(5000)] + ["class"]
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for feature in _ENCODING_DICS:
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encoding_function = partial(self.encode, feature)
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data.loc[:, feature] = data[feature].apply(encoding_function)
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return data[list(features_types_per_config[self.config.name].keys())]
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def encode(self, feature, value):
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if feature in _ENCODING_DICS:
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return _ENCODING_DICS[feature][value]
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raise ValueError(f"Unknown feature: {feature}")
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