cairocode/CMUMOSEI_Wav2Vec2_Text

这是一个包含视频、文本和语音信息的多模态情感分析数据集。数据集字段包括视频名称、开始时间、结束时间、情感分数（如快乐、悲伤、愤怒、惊讶、厌恶、恐惧等）、文本内容、语音识别结果、标签等。此外，数据集还提供了基于wav2vec2的特征序列、整体一致性分数、情感维度的标准差等。数据集分为训练集，共有88,132个样本。

This is a multi-modal sentiment analysis dataset containing video, text, and speech information. Dataset fields include video name, start time, end time, sentiment scores (such as happiness, sadness, anger, surprise, disgust, fear, etc.), text content, speech recognition results, labels, and more. Additionally, the dataset provides wav2vec2 feature sequences, overall agreement scores, standard deviations for sentiment dimensions, etc. The dataset is split into a training set with a total of 88,132 samples.