Data: Large Language Models Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search

Data for the following research paper: Title: Large Language Modles Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search Code: https://github.com/osome-iu/fact_check_rag_osome Authors: Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan, Filippo Menczer --- These files are intended to be downloaded and used with the code repository linked above. They’re too large to include directly on GitHub. --- Unpacking the data tarball-------------------------- This repository includes a compressed archive named data.tar.gz that contains all required data files. First, clone the GitHub repository linked above. Second, download the data.tar.gz file stored here. Then, move it into the project root directory of the cloned GitHub repository. Then extract the data from the archive, by running the following command from the project root: tar -xzvf data.tar.gz This will recreate the data/ directory and its full contents. Additional notes: If you are on Windows without WSL, you may need a tool such as Git Bash, 7-Zip, WinRAR, or Windows Subsystem for Linux (WSL) to unpack the tarball. Once extracted, see the README files for details about all files Once extracted, all data represents approximately 5.3GBs本数据集配套以下研究论文： 论文标题：大语言模型（Large Language Model）需经筛选规整的上下文以实现可靠的政治事实核查——即便结合推理与网页搜索 代码仓库：https://github.com/osome-iu/fact_check_rag_osome 作者：Matthew R. DeVerna、Kai-Cheng Yang、Harry Yaojun Yan、Filippo Menczer --- 本数据集文件需配合上述代码仓库使用，因文件体积过大，无法直接上传至GitHub。 ### 解压数据压缩包 本仓库包含名为`data.tar.gz`的压缩归档文件，内含全部所需数据文件。请先克隆上述GitHub代码仓库，随后下载本页面提供的`data.tar.gz`文件，并将其移动至克隆完成的GitHub项目根目录中。之后在项目根目录执行以下命令以解压数据： tar -xzvf data.tar.gz 该命令将自动重建`data/`目录及其完整内容。 ### 补充说明 1. 若您使用未配置Windows子系统Linux（WSL）的Windows系统，则需借助Git Bash、7-Zip、WinRAR或Windows子系统Linux（WSL）等工具解压该压缩包； 2. 解压完成后，请参阅项目内的README文件以了解所有文件的详细信息； 3. 解压后全部数据总容量约为5.3GB。