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 / organization | ddidacus |
|---|---|
| License (as declared) | mit |
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 June 2026 |
| Last updated at source | 4 August 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.