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Download README.md from neuroX3/MicroData: direct link, hf CLI and curl.
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https://huggingface.co/datasets/neuroX3/MicroData/resolve/main/README.md
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hf download hf://datasets/neuroX3/MicroData/README.md
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curl -L -o README.md https://huggingface.co/datasets/neuroX3/MicroData/resolve/main/README.md
1.19 kB
metadata
license: mit
language:
- en
- ru
tags:
- http-requests
- waf
- cybersecurity
- parquet
MicroData
A reproducible byte-oriented HTTP request dataset for defensive WAF research. It contains 800,000 records with 60% benign and 40% attack examples, split into train (70%), validation (15%), and test (15%).
Fields
raw_bytes_b64: UTF-8 request bytes encoded as base64.label:0benign,1attack.family: attack family orbenign.source: source provenance.obfuscation_level:none,light,medium, orheavy.
Sources and construction
The mix includes CSIC 2010-derived HTTP traffic, PayloadsAllTheThings payload references, the MIT-licensed notesbymuneeb/ai-waf-dataset, and deterministic synthetic examples. Mutations include URL/double encoding, case changes, comment insertion, null/whitespace tricks, Unicode-safe textual variants, and injection-location changes. Seed: 20260921.
Loading
from datasets import load_dataset
ds = load_dataset("neuroX3/MicroData")
This dataset is intended for defensive model training and evaluation. Review source licenses and provenance before redistribution in downstream products.