FlowVortex/SpecConvFormer-Pretraining-Dataset

该数据集是一个训练数据集，包含3,939,504个示例，总大小约为28.3GB。数据特征包括：target（浮点序列，可能表示目标信号或数据）、snr（信噪比，浮点类型）、dataset（来源数据集名称，字符串类型）和length（序列长度，整数类型）。数据集主要用于信号处理或机器学习任务，涉及信号分析和模型训练。This dataset is a training dataset containing 3,939,504 examples with a total size of approximately 28.3GB. The features include: target (a sequence of float32 values, likely representing target signals or data), snr (signal-to-noise ratio, float32 type), dataset (source dataset name, string type), and length (sequence length, int32 type). The dataset is primarily intended for signal processing or machine learning tasks, involving signal analysis and model training.