An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening
Sitong Chen, Beiqianyi Li, Cuilin He, Dongyang Li, Mingyang Wu, Xinke Shen, Song Wang, Xuetao Wei, Xindi Wang, Haiyan Wu, Quanying Liu · 2025
Read An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening by Sitong Chen, Beiqianyi Li, Cuilin He, Dongyang Li, Mingyang Wu, Xinke Shen, Song Wang, Xuetao Wei, Xindi Wang, Haiyan Wu, Quanying Liu (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12864990.txt.
Description
Sitong Chen and co-authors present a 2025 data set of brain waves recorded while people read and hear Chinese text. Brain decoding needs large paired sets of brain and language data, and non-English sets are rare. ChineseEEG-2 adds two live modes to a past silent-reading set: reading aloud and passive listening, all on the same text. Four speakers were recorded for near eleven hours as they read aloud.
Their audio then played to eight listeners, whose brain waves were caught for near twice that span. The set ships brain waves, audio, aligned meaning codes from language models, and task labels. Close time locks across modes let teams train decoders that span speaking, hearing, and reading. The set backs brain-to-model alignment work in Chinese.
Catalog record
| CREATOR | Sitong Chen, Beiqianyi Li, Cuilin He, Dongyang Li, Mingyang Wu, Xinke Shen, Song Wang, Xuetao Wei, Xindi Wang, Haiyan Wu, Quanying Liu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |