MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing

Understand

The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories.

• Each participant performed two identical sessions, involving listening to four fictional stories from the Manually Annotated Sub-Corpus (MASC) intermixed with random word lists and comprehension questions.
• We time-stamp the onset and offset of each word and phoneme in the metadata of the recording, and organize the dataset according to the 'Brain Imaging Data Structure' (BIDS).
• This data collection provides a suitable benchmark to large-scale encoding and decoding analyses of temporally-resolved brain responses to speech.