ch-sims

The CH-SIMS dataset is a Chinese public dataset that includes a multimodal emotional corpus, consisting of 2281 video clips and covering 60 original videos. The dataset provides rich background information and a wide range of ages, as well as multimodal and tri modal single peak annotations. Each video clip is labeled with emotional labels, including regression labels and classification labels. Among them, the values of the regression label are {-1.0, -0.8, -0.6, -0.4, -0.2, 0.0, 0.2, 0.4, 0.6, 0.8, 1.0}, indicating the degree of emotional change from negative to positive. The classification labels are divided into -1 (negative), 0 (neutral), and 1 (positive). These labels can be used to evaluate the performance of sentiment analysis algorithms.

CH-SIMS数据集是一款中文公开数据集，包含多模态情感语料库，由2281个视频片段组成，覆盖60条原始视频。该数据集提供丰富的背景信息，样本覆盖多年龄段，同时支持多模态与三模态单峰标注。每个视频片段均标注有情感标签，涵盖回归标签与分类标签两类。其中回归标签的取值为{-1.0, -0.8, -0.6, -0.4, -0.2, 0.0, 0.2, 0.4, 0.6, 0.8, 1.0}，用于表征情感从消极到积极的变化程度；分类标签则分为-1（消极）、0（中性）与1（积极）三类。上述标签可用于评估情感分析算法的性能。

搜集汇总

背景与挑战

背景概述

ch-sims是一个中文多模态情感分析数据集，包含2281个视频片段，提供回归和分类两种情感标签，适用于情感分析算法的评估。