EEGDash/nm000251

He等人2025年提出的VocalMind数据集是一个立体脑电图（IEEG）数据集，专注于声调语言中的发声、模仿和想象语音。数据集包含1名受试者的6次记录，总时长为1.1小时，磁盘大小为1.9 GB，采样率为1000 Hz，通道数为110。数据集的任务类别包括其他（other），大小类别为n<1K。数据集使用CC BY 4.0许可证，原始数据存储在OpenNeuro/NEMAR，可以通过EEGDash工具流式传输并返回PyTorch/braindecode数据集。

The VocalMind dataset by He et al. 2025 is a stereotactic EEG (IEEG) dataset focusing on vocalized, mimed, and imagined speech in tonal language. It includes 6 recordings from 1 subject, totaling 1.1 hours in duration, with a disk size of 1.9 GB, a sampling rate of 1000 Hz, and 110 channels. The dataset falls under the other task category and the n<1K size category. It is licensed under CC BY 4.0, with raw data stored at OpenNeuro/NEMAR, and can be streamed via EEGDash to return a PyTorch/braindecode dataset.