We present the Radboud Coregistration Corpus of Narrative Sentences (RaCCooNS), the first freely available corpus of eye-tracking-with-EEG data collected while participants read narrative sentences in Dutch. The corpus is intended for studying human sentence comprehension and for evaluating the cognitive validity of computational language models. RaCCooNS contains data from 37 participants (3 of which eye tracking only) reading 200 Dutch sentences each. Less predictable words resulted in significantly longer reading times and larger N400 sizes, replicating well-known surprisal effects in eye tracking and EEG simultaneously. We release the raw eye-tracking data, the preprocessed eye-tracking data at the fixation, word, and trial levels, the raw EEG after merger with eye-tracking data, and the preprocessed EEG data both before and after ICA-based ocular artifact correction.

我们提出了拉德布德叙事句子共同注册语料库 (RaCCooNS)，这是第一个免费提供的眼动脑电图语料库，在参与者阅读荷兰语叙事句子时收集。该语料库旨在研究人类句子理解和评估计算语言模型的认知有效性。RaCCooNS 包含 37 名参与者（其中 3 名仅进行眼动追踪）的数据，每名参与者阅读 200 个荷兰语句子。难以预测的单词会导致阅读时间显着延长和 N400 尺寸变大，从而同时复制眼动追踪和脑电图方面众所周知的令人惊讶的效果。我们发布原始眼动追踪数据、注视、单词和试验级别的预处理眼动追踪数据、与眼动追踪数据合并后的原始脑电图，