Datasets:
Tasks:
Tabular Classification
Formats:
parquet
Languages:
English
Size:
1M - 10M
Tags:
network-intrusion-detection
cybersecurity
UNSW-NB15
IDS
binary-classification
multi-class-classification
License:
Upload README.md with huggingface_hub
Browse files
README.md
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path: random/train-*
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- split: test
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path: random/test-*
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dataset_info:
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- config_name: standard
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description: "Original temporal train/test split from UNSW-NB15 CSV files (175K/82K)"
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features:
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- name: label
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dtype: int64
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- name: attack_cat
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dtype: string
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- config_name: random
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description: "Random 90/10 split from full deduplicated dataset (1.43M/158K)"
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features:
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- name: label
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dtype: int64
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- name: attack_cat
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dtype: string
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---
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# UNSW-NB15 Network Intrusion Detection Dataset
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path: random/train-*
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- split: test
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path: random/test-*
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---
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# UNSW-NB15 Network Intrusion Detection Dataset
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