cestwc/hdb-test-set-prediction-1128-detect

该数据集主要包含社交媒体数据，特别是与用户和地点相关的信息。数据集的特征包括用户的基本信息（如用户ID、创建时间、位置、URL、关注者数量等）、推文内容（如文本、来源、是否被截断等）、地点信息（如地点ID、地点类型、国家代码等）、情感分析得分（如快乐、信任、积极、悲伤等）、以及一些预处理和模型预测的结果（如预处理步骤、模型预测标签等）。数据集分为训练集，包含307,541个样本，总大小为604,870,469字节。

This dataset primarily contains social media data, particularly information related to users and locations. The dataset features include basic user information (such as user ID, creation time, location, URL, follower count, etc.), tweet content (such as text, source, whether truncated, etc.), location information (such as location ID, location type, country code, etc.), sentiment analysis scores (such as joy, trust, positive, sadness, etc.), and some preprocessing and model prediction results (such as preprocessing steps, model prediction labels, etc.). The dataset is divided into a training set, containing 307,541 samples, with a total size of 604,870,469 bytes.