2026-10-12T20:43:01Z https://www.scidb.cn/oai

10.57760/sciencedb.44994 2026-08-05T09:41:25Z

2026-08-05 Experimental Datasets for A Latent Affective Factor-Aware Dynamic Multi-Path Collaborative Reasoning Model for Image-Text Sentiment Analysis doi:10.57760/sciencedb.44994 en This data record corresponds to the experimental datasets used in the paper “A Latent Affective Factor-Aware Dynamic Multi-Path Collaborative Reasoning Model for Image-Text Sentiment Analysis”. The paper uses two public image-text datasets, MVSA-SINGLE and HFM. MVSA-SINGLE is used for a three-class image-text sentiment analysis task and contains 4,511 samples, including 1,358 negative, 470 neutral, and 2,683 positive samples. It is randomly split into training, validation, and test sets at a ratio of 8:1:1 with random seed 55. HFM is used for a binary multimodal sarcasm/sentiment-related task and contains 24,635 samples, including 14,075 non-sarcastic and 10,560 sarcastic samples. The original training, validation, and test splits released by the dataset authors are adopted. This record provides the dataset sources, sample sizes, class distributions, and usage settings only, and does not redistribute third-party raw image-text samples. Image-text sentiment analysis; Multimodal sentiment analysis; MVSA-SINGLE; HFM; Dataset split; Multimodal sarcasm detection Zhu Mengxiao PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank