ChineseEEG-2:An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening

While there have been EEG datasets related to linguistic stimuli, the existing resources are limited, and many faces the problem of teacher-forcing. In our future studies, we plan to promote a unified encoder of multi-modalities for semantic decoding, which suggests the need of more data support.

To bridge this gap, we introduce ChineseEEG-2, a high-density EEG dataset that extends ChineseEEG containing both reading aloud and auditory listening tasks. As a unique multimodal EEG dataset featuring synchronized reading and listening tasks based on the same corpus, ChineseEEG-2 dataset enables the exploration of how the brain processes language across both visual and auditory modalities in the context of Chinese natural language.