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enosislabs/aether-cyber-sft

published by @enosislabs

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
347
Last 30 days
51
Likes
2
Size
18.5 MB
Created on HF
2026-06-16
Age
4 months ago

Description

enosislabs/aether-cyber-sft

Version: surface-clean-20260620

Generated UTC: 2026-06-20T03:36:32.011333+00:00

Source path: artifacts/aether-cyber-sft-surface-candidate.jsonl

Git commit: 6fadc0ba97b4c49a7b644e70afacddc8ba98029e

Curated Aether PRISM SFT dataset for authorized cybersecurity training.

Each source shard follows 5-row review discipline before publish.

Records

Total examples: 1794

Domains

vulnerability_research: 757

red_team_ops: 334… See the full description on the dataset page: https://huggingface.co/datasets/enosislabs/aether-cyber-sft.

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:1K<n<10Kformat:jsonmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:uscybersecuritypurple-teamprismqwensft

README current version from Hugging Face

license: apache-2.0
task_categories:

  • text-generation
    language:
  • en
    tags:
  • cybersecurity
  • purple-team
  • prism
  • qwen
  • sft
    pretty_name: Aether Cyber SFT

enosislabs/aether-cyber-sft

Version: surface-clean-20260620
Generated UTC: 2026-06-20T03:36:32.011333+00:00
Source path: artifacts/aether-cyber-sft-surface-candidate.jsonl
Git commit: 6fadc0ba97b4c49a7b644e70afacddc8ba98029e

Curated Aether PRISM SFT dataset for authorized cybersecurity training.
Each source shard follows 5-row review discipline before publish.

Records

Total examples: 1794

Domains

  • vulnerability_research: 757
  • red_team_ops: 334
  • detection_engineering: 177
  • blue_team_defense: 175
  • incident_response: 145
  • general_cyber: 125
  • threat_intel: 81

Task Types

  • analysis: 840
  • patch_generation: 370
  • exploit_strategy: 334
  • detection_rule: 101
  • threat_modeling: 81
  • incident_response: 68

Usage Rider

Use only for authorized security research, defensive engineering, internal red-team labs,
and purple-team education. Do not use to train systems for unauthorized access or abuse.

README history 3 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.

  1. 2026-06-20Publish Aether dataset surface-clean-202606201446bae1.1 KB
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  2. 2026-06-16Publish Aether dataset 2026-06-163f37cf81 KB
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  3. 2026-06-16initial commitb40c4290 B
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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

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-06-17[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Repository

DIR artifacts 4 files FILE .gitattributes FILE README.md FILE train.jsonl

File contents live on Hugging Face. Click a file or folder to open it there.

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