Complete workflow for time series datasets (Energy, Manufacturing, Climate) on Kaggle to Data Annotation platform (data.smlcrm.com). Includes downloading, cleaning with pandas, uploading RAW with metadata, configuring columns (Time/Target/Covariate/Group), setting units (kWh, kVarh, tCO2, ratio, seconds), and assigning groups by selecting all variables and applying all group tags. Use when finding Kaggle datasets, cleaning for ML, uploading with metadata, configuring types/units, assigning groups to all variables, or complete pipeline to CLEAN status.

从Kaggle上的时序数据集（能源、制造、气候）到数据标注平台data.smlcrm.com的完整工作流程，包括下载、使用pandas清洗、上传含元数据的原始数据、配置列（时间/目标/协变量/分组）、设置单位（kWh、kVarh、tCO2、比率、秒），并通过选择所有变量并应用所有分组标签来分配分组。适用于查找Kaggle数据集、为机器学习清洗数据、带元数据上传、配置类型与单位、为所有变量分配分组，或完成从原始到CLEAN状态的全流程。