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AriaAICompany/phish-messages

Phish synthetic messages 256 synthetic Persian and English messages for the Phish review demo. Seed 3. Organization dataset, model, collection, and static card are public. Live Gradio is created by scripts/publish.py. This is fixture data (level 1). It does not prove operational phishing accuracy. Files data/messages.jsonl data/splits.json data/evaluation.json data/sample_preview.json data/eml/*.eml data/protocol.md Splits Split is by campaign… See the full description on the dataset page: https://huggingface.co/datasets/AriaAICompany/phish-messages.

sourceHugging Facecc-by-4.0updated 20d agoView on Hugging Face
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Dataset Card

Phish synthetic messages

256 synthetic Persian and English messages for the Phish review demo. Seed 3.

Organization dataset, model, collection, and static card are public. Live Gradio is created by scripts/publish.py. This is fixture data (level 1). It does not prove operational phishing accuracy.

Files

  • —data/messages.jsonl
  • —data/splits.json
  • —data/evaluation.json
  • —data/sample_preview.json
  • —data/eml/*.eml
  • —data/protocol.md

Splits

Split is by campaign, sender group, and template, not random rows of the same lure.

  • —development: 10 campaigns × 16 variants = 160
  • —test: 6 campaigns × 16 variants = 96
  • —interactive: six *-00 fixtures used in the Space

Phishing, hard-negative invoices/login notices, and insufficient-evidence stubs are all present. Hard negatives keep aligned From/Reply-To/href domains.

Labels

  • —gold_binary: 1 = phishing campaign, 0 = hard negative or insufficient
  • —gold_label: suspicious or insufficient_evidence
  • —The demo never emits safe / benign

License

CC-BY-4.0. Keep the synthetic-data label. Do not treat hosts under .example as live infrastructure.