EEGDash/nm000229

Gwilliams等人于2023年推出的MEG-MASC数据集是一个高质量的脑磁图（MEG）数据集，专门用于评估自然语音处理。该数据集包含29名受试者的1360条记录，采用CC0许可证。数据集的元数据显示，每条记录包含208个通道，采样率为1000 Hz。数据集可以通过EEGDash库或直接从Hugging Face Hub加载。Gwilliams et al. 2023 introduces MEG-MASC, a high-quality magneto-encephalography dataset for evaluating natural speech processing. The dataset includes 1360 recordings from 29 subjects and is licensed under CC0. Metadata indicates 208 channels per recording with a sampling rate of 1000 Hz. The dataset can be loaded via the EEGDash library or directly from the Hugging Face Hub.