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Dataset · Hugging Face

ddidacus/guard-glp-benign

Guard-GLP Benign Conversations Sanitized collection of benign multi-turn conversations, using train splits only. Pipeline Load LMSYS Chat 1M and WildChat-4.8M (sharded across 8 worker(s)) Filter harmful/adversarial samples via OpenAI moderation labels Normalise conversation format across sources Exact de-duplication (conversation hash) De-contaminate against WildJailbreak (train + eval configs) Hold out a uniformly sampled test split Composition… See the full description on the dataset page: https://huggingface.co/datasets/ddidacus/guard-glp-benign.

Author / organizationddidacus
License (as declared)mit
Downloads129 (as reported by Hugging Face)
Likes0
Created10 June 2026
Last updated at source4 August 2026
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