meme
Datasets
All datasets matching “meme”hateful_memes_expandedPumpfun_Memecoin_Corpus
PumpFun Launch-to-Graduation Corpus (Jun–Jul 2026)
798,430 pump.fun token launches. 33.58 million trades. 26.9 million bonding
-curve snapshots. Every graduation outcome labeled. Tracked continuously,
second by second, for 39 uninterrupted days.
⚠️ This dataset has documented, quantified data-quality issues — several
are not optional to handle correctly. Full detail, root causes, and
exact handling instructions: KNOWN_ISSUES.md.
Read it before you write a single query.… See the full description on the dataset page: https://huggingface.co/datasets/Slinky21/Pumpfun_Memecoin_Corpus.hateful_memes
The Hateful Memes Challenge README
The Hateful Memes Challenge is a dataset and benchmark created by Facebook AI to drive and measure progress on multimodal reasoning and understanding. The task focuses on detecting hate speech in multimodal memes.
Please see the paper for further details:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
D. Kiela, H. Firooz, A. Mohan, V. Goswami, A. Singh, P. Ringshia, D. Testuggine
For more details, see also the website:… See the full description on the dataset page: https://huggingface.co/datasets/neuralcatcher/hateful_memes.ultimateMemeLens
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.MemeXGen
Cross-Cultural Meme Transcreation Dataset
📄 Read our paper: Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
Dataset Summary
This dataset contains 6,315 meme pairs for cross-cultural meme transcreation between English/American and Chinese cultures. It includes both bidirectional translations, making it valuable for research in multimodal AI, cultural adaptation, and humor translation.
Key Statistics:
English →… See the full description on the dataset page: https://huggingface.co/datasets/YZhao09/MemeXGen.