Dataset · Hugging Face

QCRI/MemeLens

Name: MemeLens
Creator: QCRI
License: cc-by-nc-4.0
Keywords: task_categories:image-text-to-text, language:ar, language:bn, language:de, language:en, language:es, language:hi, language:ro, language:ru, language:zh, license:cc-by-nc-4.0, size_categories:100K<n<1M, format:parquet, modality:image, modality:text

MemeLens 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.

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Author / organization	QCRI
License (as declared)	cc-by-nc-4.0
Downloads	2.3K (as reported by Hugging Face)
Likes	3
Created	29 March 2026
Last updated at source	28 August 2026

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mradermacher/MemeLens-VLM-GGUFModel · used to train
mradermacher/MemeLens-VLM-i1-GGUFModel · used to train

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