Omkar2118/datasets huggingface dataset:
MMDialog

**MMDialog** is a large-scale multi-turn dialogue dataset containing multi-modal open-domain conversations derived from real human-human chat content in social media. MMDialog contains 1.08M dialogue sessions and 1.53M associated images. On average, one dialogue session has 2.59 images, which can be located anywhere at any conversation turn.

Source: [MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation](https://arxiv.org/pdf/2211.05719v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.05719v1.pdf](https://arxiv.org/pdf/2211.05719v1.pdf)

Introducing paper: MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Visual Commonsense Immorality benchmark

**Visual Commonsense Immorality benchmark** is a benchmark designed to evaluate commonsense immorality. It contains 2,172 immoral images for general and extensive immoral image detection.

Source: [Zero-shot Visual Commonsense Immorality Prediction](https://arxiv.org/pdf/2211.05521v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.05521v1.pdf](https://arxiv.org/pdf/2211.05521v1.pdf)

Introducing paper: Zero-shot Visual Commonsense Immorality Prediction