nsl-uw/IBL_781b35fd-e1f0-4d14-b2bb-95b7263082bb_aligned

该数据集包含了多个与神经信号处理相关的特征，如稀疏数据、索引、指针、形状、选择、奖励、块、触须运动能量等。还包括了数据集的划分（训练集、验证集、测试集）以及每个部分的大小和示例数量。此外，数据集还包含了质控信息，如振幅、深度、漂移、发放率等，以及数据集的下载大小和总大小。

The dataset consists of multiple neural signal processing-related features such as sparse data, indices, pointers, shapes, choices, rewards, blocks, whisker-motion energy, etc. It also includes the dataset splits (train, validation, test) along with the size and number of examples for each part. In addition, the dataset contains quality control information such as amplitude, depth, drift, firing rate, etc., as well as the download size and the total size of the dataset.