ComplexDataLab/Misinfo_Datasets

该数据集是文献中最大的虚假信息检测数据集集合，共包含75个数据集，其中36个数据集由声明或主张组成。这些数据集旨在解决虚假信息这一社会问题，并为相关研究提供数据支持。数据集涵盖了多个子数据集，每个子数据集都包含训练、测试和验证集，数据格式为parquet文件。数据集的语言为英语，大小类别在1M到10M之间，标签包括虚假信息和文本，模态为文本。

This dataset is the largest collection of misinformation detection datasets in the literature, totaling 75 datasets, with 36 of them consisting of statements or claims. These datasets aim to address the societal issue of misinformation and provide data support for related research. The dataset includes multiple sub-datasets, each containing training, testing, and validation sets, with data in parquet format. The language of the dataset is English, the size category is between 1M and 10M, and the tags include misinformation and text, with the modality being text.