Omkar2118/datasets huggingface dataset:
Do-Not-Answer

**Do-Not-Answer** is a dataset to evaluate safeguards in large language models, and deploy safer open-source LLMs at a low cost. The dataset is curated and filtered to consist only of instructions that responsible language models should not follow. We annotate and assess the responses of six popular LLMs to these instructions.

Introducing paper: Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
OVDEval

**OVDEval** includes 9 sub-tasks and introduces evaluations on commonsense knowledge, attribute understanding, position understanding, object relation comprehension, and more. The dataset is meticulously created to provide hard negatives that challenge models' true understanding of visual and linguistic input.

Introducing paper: How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection