datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-ai-parallel-detection
Dataset Card for human-ai-parallel-detection
Dataset Description
Dataset Summary
The human-ai-parallel-detection dataset contains 600 balanced instances for evaluating methods to distinguish between human-written and AI-generated text continuations. Each instance includes a 500-word human-written prompt followed by parallel continuations from humans, GPT-4o, and LLaMA-70B-Instruct. The dataset includes both style embedding features and LLM-as-judge predictions… See the full description on the dataset page: https://huggingface.co/datasets/ephipi/human-ai-parallel-detection.ai-goal-misgeneralization-drift-detection-v0.1What this dataset is
Detects early goal drift when an agent leaves its training setting
Names the drift type, how strong it is, and what to do next
Inputs
setting
env_shift_event
training_objective
deployment_task
internal_goal_signal_t0
internal_goal_signal_t1
behavior_t0
behavior_t1
Required output
Return JSON only
drift_type_labelOne… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-goal-misgeneralization-drift-detection-v0.1.