datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
JL-AgentBehavior-10K
JL-AgentBehavior-10K
JL-AgentBehavior-10K is a 10,000-record, English-language research-preview dataset for studying and training the behavioral policy of repository-level coding agents.
The dataset does not treat a coding agent as a chatbot that maps a request directly to a block of code. It represents an agent as a policy operating across a sequence of observable decisions:
task
-> repository evidence
-> bounded plan
-> tool selection
-> scoped edit strategy
->… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JL-AgentBehavior-10K.agent_sidetask_s1pp_behavioral_cdrp_iter2adaption-agent-security-behavior
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-agent_security_behavior
This dataset contains pairs of prompts and labels classifying AI agent actions in IT and security contexts as either benign or suspicious. The samples cover scenarios such as log analysis, code deployment, access control changes, and data handling to identify potential security violations or policy bypasses. Each entry evaluates whether the agent's behavior… See the full description on the dataset page: https://huggingface.co/datasets/melanieyes/adaption-agent-security-behavior.adaption-agent-security-behavior-v1
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-agent_security_behavior
This dataset contains pairs of prompts and labels classifying AI agent actions in IT and security contexts as either benign or suspicious. The samples cover scenarios such as log analysis, code deployment, access control changes, and data handling to identify potential security violations or policy bypasses. Each entry evaluates whether the agent's behavior… See the full description on the dataset page: https://huggingface.co/datasets/melanieyes/adaption-agent-security-behavior-v1.