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Taqui/lanl-cyber-datasets

published by @Taqui

Alignment dataset tracked in the /datasets sub-catalog.

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Size
436.6 GB
Created on HF
2026-09-29
Age
22 days ago

Description

LANL Cyber Datasets (2015 + 2017)

Raw, byte-identical copies of two Los Alamos National Laboratory public

cybersecurity datasets, acquired exclusively from the official LANL

source (https://csr.lanl.gov/). No mirrors, Kaggle copies, or

repackaged distributions were used.

Contents

lanl-2015/

redteam.txt.gz known red-team compromise events (ground truth)

auth.txt.gz authentication events

proc.txt.gz process start/stop events

flows.txt.gz… See the full description on the dataset page: https://huggingface.co/datasets/Taqui/lanl-cyber-datasets.

Tags

task_categories:otherlanguage:enlicense:cc0-1.0size_categories:1B<n<10Bformat:textmodality:textlibrary:datasetslibrary:mlcroissantregion:uscybersecurityintrusion-detectionnetwork-trafficlanl

README current version from Hugging Face


license: cc0-1.0
task_categories:

  • other
    language:
  • en
    tags:
  • cybersecurity
  • intrusion-detection
  • network-traffic
  • lanl
    pretty_name: LANL Cyber Datasets (2015 + 2017)

LANL Cyber Datasets (2015 + 2017)

Raw, byte-identical copies of two Los Alamos National Laboratory public
cybersecurity datasets, acquired exclusively from the official LANL
source
(https://csr.lanl.gov/). No mirrors, Kaggle copies, or
repackaged distributions were used.

Contents

lanl-2015/
  redteam.txt.gz   known red-team compromise events (ground truth)
  auth.txt.gz      authentication events
  proc.txt.gz      process start/stop events
  flows.txt.gz     network flow events
  dns.txt.gz       DNS lookup events
  redteam.txt      decompressed copies of the above, stored alongside
  auth.txt         the archives (same path minus .gz/.bz2), for direct
  ...              use without a decompression step
lanl-2017/wls/
  wls_day-01.bz2 … wls_day-30.bz2      Windows host event logs (JSON lines)
  wls_day-01 … wls_day-30              decompressed copies (same path minus .bz2)
lanl-2017/netflow/
  netflow_day-02.bz2 … netflow_day-30.bz2   network flows (CSV)
  netflow_day-02 … netflow_day-30           decompressed copies (same path minus .bz2)

Notes:

  • Filenames are preserved exactly as distributed by LANL. Each archive is
    stored twice: the original compressed file (byte-identical, never
    re-encoded) and its decompressed form at the same path minus the
    .gz/.bz2 suffix.
  • Decompressed files are produced locally with gzip -dc / bzip2 -dc
    and verified on the repo by SHA-256 (LFS OID or byte comparison).
  • LANL does not publish netflow_day-01.bz2; day-01 netflow is unavailable
    from the official source.
  • manifest.json / manifest.csv (added on completion) record per-file
    source URL pattern, SHA-256/MD5, compressed size, UTC download time,
    and integrity results.

Provenance & integrity

  • 2015: A. D. Kent, "Comprehensive, Multi-Source Cyber-Security Events,"
    LANL, http://dx.doi.org/10.17021/1179829 (release LA-UR-15-23810).
    58 days, ~12 GB compressed, 1.65B events.
  • 2017: M. Turcotte, A. Kent, C. Hash, "Unified Host and Network Data
    Set," Data Science for Cyber-Security, World Scientific, 2018,
    doi:10.1142/9781786345646_001 (release LA-UR-17-20763). ~90 days of
    enterprise host + network events.
  • Every file passed magic-byte inspection, gzip -t / bzip2 -t, and
    SHA-256 verification against the downloaded bytes before upload.
  • 2017 WLS files were additionally cross-checked against independently
    recorded hashes.

License

To the extent possible under law, Los Alamos National Laboratory has
waived all copyright and related or neighboring rights to both datasets
(CC0-style waiver); published from the United States. If you use this
data, please cite the sources above and consider downloading future
copies directly from https://csr.lanl.gov/data/cyber1/ and
https://csr.lanl.gov/data/2017/.

README history 20 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

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Metadata

License
cc0-1.0

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Taqui/lanl-cyber-datasets")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Taqui/lanl-cyber-datasets", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Taqui/lanl-cyber-datasets
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