构建百万级人物社交网络，揭示19世纪以来全球文学中的社会关系图谱
A City of Millions: Mapping Literary Social Networks At Scale
- 用语言模型自动提取跨语种小说非虚构作品中的社交关系
- 涵盖251万个人、280万对关系，覆盖1800-1999年58种语言
- 适合人文社科研究者分析历史社会认知模式
我们发布了从多语种小说与非虚构叙事中提取的70,509个高质量社交网络。此外还提供约30,000篇文本的元数据（73%非虚构，27%小说），时间跨度为1800至1999年，涉及58种语言。该数据集以前所未有的规模呈现了历史社会世界的信息，包含2,510,021名个体和2,805,482对人际关系，每对关系均标注亲密度与关系类型。我们通过将以往人工标注流程转化为语言模型提示，实现大规模一致性抽取。该数据集为人文与社会科学提供了独特资源，支持对社会现实认知模型的研究。
原文摘要 · Abstract (English)
We release 70,509 high-quality social networks extracted from multilingual fiction and nonfiction narratives. We additionally provide metadata for $\sim$30,000 of these texts (73\% nonfiction and 27\% fiction) written between 1800 and 1999 in 58 languages. This dataset provides information on historical social worlds at an unprecedented scale, including data for 2,510,021 individuals in 2,805,482 pair-wise relationships annotated for affinity and relationship type. We achieve this scale by automating previously manual methods of extracting social networks; specifically, we adapt an existing annotation task as a language model prompt, ensuring consistency at scale with the use of structured output. This dataset serves as a unique resource for humanities and social science research by providing data on cognitive models of social realities.
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