EEG Semantic Text Relevance: 23,270 Word-Level Brain Recordings

Quoron's EEG Semantic Text Relevance dataset contains 23,270 time-locked word-level EEG recordings. The data was acquired from participants reading text that was semantically relevant and irrelevant to self-selected topics. The raw data and datasheet are hosted on OSF, and the dataset was last updated on Hugging Face in August 2025.

Use Cases

• Training models to decode semantic relevance from EEG signals based on time-locked word presentations.
• Benchmarking neural decoding algorithms using the provided benchmark results.
• Studying the neural correlates of language comprehension and semantic integration.

Strengths

• Contains 23,270 individual EEG recordings, providing a substantial sample size.
• Data is time-locked to word onset with a 0.7-second window, enabling precise temporal analysis.
• Includes both semantically relevant and irrelevant text conditions for controlled comparison.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Quoron, via Hugging Face and OSF.

Collection Method

EEG recordings acquired from participants reading text.

Freshness

Last updated 2025-08-29 19:43:13; freshness should be verified.