JayGajera/TimeSeriesSmellSensorDataForClassification

该数据集主要用于气味分类，数据来自四个设备（设备A、B、C和D），这些设备在不同位置持续运行，每1.2秒记录一次测量数据。数据以.parquet格式存储，包含时间戳、多个传感器读数、温度、湿度和目标类别等特征。目标类别包括背景环境（类别0）和52种目标气味（类别1-52），具体气味信息被匿名化处理。设备A、B和C运行时间较长，设备D运行时间较短。数据存储使用Snappy压缩以提高效率。

This dataset is primarily used for smell classification, with data collected from four devices (Device A, B, C, and D) that operate continuously in different locations, recording measurements approximately every 1.2 seconds. The data is stored in .parquet format and includes features such as timestamp, multiple sensor readings, temperature, humidity, and target class. The target class includes background environment (class 0) and 52 target smells (classes 1-52), with specific smell information anonymized. Devices A, B, and C have been operational for a longer period, while Device D has a shorter data collection period. The data is stored using Snappy compression for efficiency.