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

It offers valuable insights into multimodal semantic alignment, neural decoding, and the alignment between large language models and neural processes, contributing to the development of BCI systems for language decodingA total of 12 healthy participants were recruited for the study, ranging in age from 18 to 25 years (mean age: 21.9 years; 4 males, 8 females). Among the 12 participants, four (2 males and 2 females) conducted the reading task, while the rest eight conducted the passive listening task.

In the formal experiment, in total, 10.8 hours of reading data (around 3 hours per subject) and approximately 21.6 hours of listening data (around 3 hours per subject) were collected, amounting to 32.4 hours of data overall.The original audio recordings are available at huggingface.co/datasets/moriartyJM/ChineseEEG-2_audio