一种大量清晰与非清晰梦境报告语料库
A large corpus of lucid and non-lucid dream reports
AI总结：
本文构建了包含55,000份梦境报告的语料库，用于研究清晰梦境现象，通过用户标注系统验证了语言模式与已知特征的一致性，为未来研究提供重要数据支持。
摘要：
所有类型的梦境仍然充满谜团。特别是清晰梦境，即具有清醒意识的梦境，尤其难以研究。其稀有性和对刻意诱导的抵抗性使得难以获得大量清晰梦境报告的语料库。由此导致的清晰梦境现象学的模糊性，使许多声称的应用都未能实现。本文整理、描述并验证了包含55,000份梦境报告的语料库，来自5,000名贡献者。十年来公开可用的梦境报告从一个在线论坛中爬取，用户可选择将梦境标记为清晰、非清晰或噩梦，提供了一个用户提供的标注系统，包括10,000份清晰和25,000份非清晰，以及2,000份噩梦标签。在描述性统计和可视化分析后，构造验证显示，清晰标签的报告语言模式与已知的清晰梦境特征一致。尽管整个语料库对梦境研究有广泛价值，但标注的子集对于清晰梦境研究的新发现尤为重要。
英文摘要：
All varieties of dreaming remain a mystery. Lucid dreams in particular, or those characterized by awareness of the dream, are notoriously difficult to study. Their scarce prevalence and resistance to deliberate induction make it difficult to obtain a sizeable corpus of lucid dream reports. The consequent lack of clarity around lucid dream phenomenology has left the many purported applications of lucidity under-realized. Here, a large corpus of 55k dream reports from 5k contributors is curated, described, and validated for future research. Ten years of publicly available dream reports were scraped from an online forum where users share anonymous dream journals. Importantly, users optionally categorize their dream as lucid, non-lucid, or a nightmare, offering a user-provided labeling system that includes 10k lucid and 25k non-lucid, and 2k nightmare labels. After characterizing the corpus with descriptive statistics and visualizations, construct validation shows that language patterns in lucid-labeled reports are consistent with known characteristics of lucid dreams. While the entire corpus has broad value for dream science, the labeled subset is particularly powerful for new discoveries in lucid dream studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
