Memecoins, driven by social media engagement and cultural narratives, have rapidly grown within the Web3 ecosystem. Unlike traditional cryptocurrencies, they are shaped by humor, memes, and community sentiment. This paper introduces the Coin-Meme dataset, an open-source collection of visual, textual, community, and financial data from the Pump.fun platform on the Solana blockchain. We also propose a multimodal framework to analyze memecoins, uncovering patterns in cultural themes, community interaction, and financial behavior. Through clustering, sentiment analysis, and word cloud visualizations, we identify distinct thematic groups centered on humor, animals, and political satire. Additionally, we provide financial insights by analyzing metrics such as Market Entry Time and Market Capitalization, offering a comprehensive view of memecoins as both cultural artifacts and financial instruments within Web3. The Coin-Meme dataset is publicly available at https://github.com/hwlongCUHK/Coin-Meme.git.

翻译：模因币在社交媒体参与和文化叙事的驱动下，已在Web3生态系统中迅速兴起。与传统加密货币不同，模因币由幽默、网络迷因和社区情绪塑造。本文介绍了Coin-Meme数据集，这是一个开源数据集，收集了Solana区块链上Pump.fun平台的视觉、文本、社区和金融数据。我们还提出了一种多模态分析框架，用于研究模因币，揭示其在文化主题、社区互动和金融行为中的模式。通过聚类分析、情感分析和词云可视化，我们识别出以幽默、动物和政治讽刺为核心的不同主题群组。此外，我们通过分析市场进入时间和市值等金融指标，提供了金融洞察，全面展示了模因币作为Web3中的文化产物和金融工具的双重属性。Coin-Meme数据集已在https://github.com/hwlongCUHK/Coin-Meme.git公开提供。