STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset

STEMNIST: Spiking Tactile Extended MNIST Neuromorphic Dataset The STEMNIST dataset has a hierarchical directory structure to support both spikebased neuromorphic processing and frame-based deep learning methods. The dataset consists of two main components: Raw Pressure Data: The raw 8-bit pressure data associated with each handwritten character, initially consolidated within a single five-character HDF5 file, were subsequently disaggregated and saved as individual HDF5 files through Python-based post-processing. Each sample comprises a three-dimensional array of pressure readings (240 frames × 16 × 16) accompanied by comprehensive metadata, including participant identifier, character label, repetition index, sampling frequency (120 Hz), and temporal acquisition timestamp. The file naming convention adheres to the naming structure {<ParticipantID>_<Character>_<RepetitionNumber>.h5}. Processed Spike Data: These are event-based data representations, stored in HDF5 files as structured NumPy arrays. Three fields are present in each spike file: timestamp (float32), taxel ID (int32) and polarity (int16). Additionally, each spike file contains attributes that display the total number of spikes, the adaptive threshold value ($\theta_{\text{sample}}^{\text{clipped}}$) and a reference to the original raw file. Spike files use the naming convention {<ParticipantID>_<Character>_<RepetitionNumber>_spikes.h5} and are arranged into 35 subdirectories according to their respective character class. More details about the dataset can be found here: https://arxiv.org/abs/2601.01658STEMNIST：脉冲触觉扩展MNIST神经形态数据集（Spiking Tactile Extended MNIST Neuromorphic Dataset） 该数据集采用层级目录结构，可同时支持基于脉冲的神经形态处理与基于帧的深度学习方法。数据集包含两大核心组成部分： 原始压力数据：与每个手写字符对应的8位原始压力数据最初整合于一个包含5个字符的HDF5文件中，后经基于Python的后处理流程拆分为独立的单个HDF5文件。每个样本为尺寸为240帧×16×16的三维压力读数阵列，并附带完整元数据，包括参与者标识符、字符标签、重复索引、采样频率（120 Hz）以及采集时间戳。文件命名遵循`{<ParticipantID>_<Character>_<RepetitionNumber>.h5}`的格式规范。 经处理的脉冲数据：该部分为基于事件的数据表征形式，以结构化NumPy数组的形式存储于HDF5文件中。每个脉冲文件包含三个字段：时间戳（float32类型）、触元ID（int32类型）与极性（int16类型）。此外，每个脉冲文件还附带若干属性，包括总脉冲数、自适应阈值（$ heta_{ ext{sample}}^{ ext{clipped}}$）以及原始数据文件的引用信息。脉冲文件的命名规范为`{<ParticipantID>_<Character>_<RepetitionNumber>_spikes.h5}`，并按照各自的字符类别划分为35个子目录。 有关该数据集的更多详细信息可参阅：https://arxiv.org/abs/2601.01658