| This model was trained on the following commercially-licensed sources. |
| Only model weights are distributed; no source text is redistributed. |
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| - nvidia/nemotron-pii [CC-BY-4.0, yes-with-attribution] 55+ PII types, character-offset spans; synthetic text |
| - gretelai/synthetic_pii_finance_multilingual [Apache-2.0, yes] finance PII, char offsets, multilingual; synthetic text |
| - Faker [MIT, yes] synthetic PII generator (software MIT; output unrestricted) |
| - microsoft/presidio-research [MIT, yes] synthetic generator code; drive from Faker, NOT the bundled CC-BY-SA identity CSV |
| - google/civil_comments [CC0-1.0, yes] toxicity + sexual_explicit + identity_attack |
| - google/jigsaw_toxicity_pred [CC0-1.0 (annotations), yes] Jigsaw 6 labels; underlying text CC-BY-SA-3.0 (we ship weights only) |
| - ucberkeley-dlab/measuring-hate-speech [CC-BY-4.0, yes-with-attribution] violence / dehumanize / identity dimensions |
| - allenai/real-toxicity-prompts [Apache-2.0, yes-with-attribution] coarse sexual_explicit / threat signal |
| - redasers/difraud [MIT, yes] spam/scam/phishing (7 domains) |
| - ucirvine/sms_spam [CC-BY-4.0, yes-with-attribution] SMS spam (cite Almeida DOCENG'11) |
| - cyberec/llm-prompt-injection-attacks [Apache-2.0, yes] jailbreak multi-label (5 classes) |
| - deepset/prompt-injections [Apache-2.0, yes] prompt-injection binary |
| - jackhhao/jailbreak-classification [Apache-2.0, yes] jailbreak/benign |
| - Lakera/gandalf_ignore_instructions [MIT, yes] real injection attempts (PII-filtered) |
| - google/civil_comments [CC0-1.0, yes] nsfw sexual_explicit signal (shared with toxicity) |
| - mmathys/openai-moderation-api-evaluation [MIT, yes] nsfw eval only; minors class (S3) never read |
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| Attribution required for: nvidia/nemotron-pii, ucberkeley-dlab/measuring-hate-speech, allenai/real-toxicity-prompts, ucirvine/sms_spam |
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