datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Network_Defense_Symmetric_Competitive102,400,000 timesteps, Multi-Agent Reinforcement Learning
Total Environment Steps= 10 parallel environments × 7,000 episodes ×2,048 steps= 102400000 Training Timesteps
-The Red Agent’s goal is to discover vulnerabilities, elevate privileges, compromise assets, and maintain persistence. Its action space can be modeled after phases of the
MITRE ATT&CK framework.
-The Blue Agent’s goal is to maintain system availability, reduce the attack surface, detect malicious… See the full description on the dataset page: https://huggingface.co/datasets/TorontoMetropolitanUniversity/Network_Defense_Symmetric_Competitive.toronto-slang-lexicon
Dataset Card for Toronto Slang / Multicultural Toronto English (MTE) Lexicon
Dataset Summary
A machine-readable lexicon of Toronto slang and Multicultural Toronto English (MTE) vocabulary: 287 entries (78 core), each with a headword, spelling variants, part of speech, short and long glosses, a pragmatic slot (how the word functions in an utterance), register, a Toronto-versus-London status, origin, an offensiveness rating, a core/peripheral flag, grammar and… See the full description on the dataset page: https://huggingface.co/datasets/devon7y/toronto-slang-lexicon.airbnb-ca-on-torontoNYC_Toronto_ControlNetToronto_ControlNet_Dataset