ArticleScientific data2024
ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Time-frequency-spatial channel attention network for semantic decoding: an exploratory EEG study.Medical & biological engineering & computing · 2026Article
- Decoding Chinese speech across multiple neural conditions via EEG: dataset construction and interpretability driven spatial optimization.Frontiers in psychology · 2026Article
- An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening.Scientific data · 2025Article
- An open dataset of multidimensional signals based on different speech patterns in pragmatic Mandarin.Scientific data · 2025Article
- 3M-CPSEED, An EEG-based Dataset for Chinese Pinyin Production in Overt, Mouthed, and Imagined Speech.Scientific data · 2025Article
- CIRE: A Chinese EEG Dataset for decoding speech intention modulated by prosodic emotion.Scientific data · 2025Article
- Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research.PeerJ. Computer science · 2025Article
- Exploring the relationship between features calculated from contextual embeddings and EEG band power during sentence reading in Chinese.Frontiers in neuroscience · 2025Article
- Chisco: An EEG-based BCI dataset for decoding of imagined speech.Scientific data · 2024Article
- ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding.Scientific data · 2024Article
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16 authors.
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Abstract
An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how the brain encodes semantic information and contribute to semantic decoding in brain-computer interface (BCI). Addressing the scarcity of EEG datasets featuring Chinese linguistic stimuli, we present the ChineseEEG dataset, a high-density EEG dataset complemented by simultaneous eye-tracking recordings. This dataset was compiled while 10 participants silently read approximately 13 hours of Chinese text from two well-known novels. This dataset provides long-duration EEG recordings, along with pre-processed EEG sensor-level data and semantic embeddings of reading materials extracted by a pre-trained natural language processing (NLP) model. As a pilot EEG dataset derived from natural Chinese linguistic stimuli, ChineseEEG can significantly support research across neuroscience, NLP, and linguistics. It establishes a benchmark dataset for Chinese semantic decoding, aids in the development of BCIs, and facilitates the exploration of alignment between large language models and human cognitive processes. It can also aid research into the brain's mechanisms of language processing within the context of the Chinese natural language.
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