A large-scale multilingual multimodal meme understanding benchmark with 46 classification tasks across 9 languages, enriched with LLM-generated explanations and LLM-as-Judge quality scores.
This is the VLM (Vision-Language Model) version of MemeLens, extended with natural language explanations for each sample and automated quality evaluation via LLM-as-Judge.
Paper: MemeLens: Multilingual Multitask VLMs for Memes
Code: MohamedBayan/MemeLens
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/MemeLens.
