Samuel2007/CMU-MOSEI_sample

该数据集是CMU-MOSEI的一个紧凑且平衡的子集，仅包含balanced_emotion_by_mean.csv中指定的样本。每个模态（音频、文本、视觉、标签）都已单独提取，并且仅包含基于指定video_id的相关数据。这使得它非常适合轻量级多模态学习、基准测试和细粒度特征分析。数据集包含声学特征（如COVAREP）、情感和情感注释、ASR +语言特征（如GloVe）以及面部和视觉情感特征。

This dataset is a compact, balanced subset of CMU-MOSEI, representing only the samples specified in balanced_emotion_by_mean.csv. Each modality (audio, text, vision, labels) has been extracted separately and contains only the relevant data based on the specified video_ids. This makes it ideal for lightweight multimodal learning, benchmarking, and fine-grained feature analysis. The dataset includes acoustic features (e.g., COVAREP), emotion and sentiment annotations, ASR + linguistic features (e.g., GloVe), and facial and visual affect features.