hshwk1983/x_dataset_20589

Bittensor Subnet 13 X（Twitter）数据集是Bittensor Subnet 13去中心化网络的一部分，包含了来自X（前Twitter）的预处理数据。这些数据由网络矿工持续更新，为各种分析和机器学习任务提供实时推文流。数据集支持多种社交媒体动态分析，并可用于开发创新应用，如情感分析、趋势检测、内容分析和用户行为建模。数据集主要是英文，但由于去中心化的创建方式，也可能是多语言的。每个数据实例代表一条推文，包含推文内容、标签、话题标签、发布日期、编码后的用户名和URL等信息。数据集不断更新，没有固定的分割，用户应根据需求和数据的时间戳创建自己的分割。数据来源于公共推文，遵循平台的服务条款和API使用指南。所有用户名和URL都经过编码以保护用户隐私。使用数据时，应注意潜在的偏见和局限性，如数据质量因去中心化收集和预处理而异，可能包含噪声、垃圾邮件或无关内容。

The Bittensor Subnet 13 X (Twitter) Dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed data from X (formerly Twitter). These data are continuously updated by network miners, providing a real-time stream of tweets for various analytical and machine learning tasks. The dataset supports a variety of social media dynamics analysis and can be used to develop innovative applications, such as sentiment analysis, trend detection, content analysis, and user behavior modeling. The datasets are predominantly in English but may be multilingual due to the decentralized way of creation. Each data instance represents a single tweet, including tweet content, labels, hashtags, posting date, encoded username, and URL. The dataset is continuously updated without fixed splits, and users should create their own splits based on their requirements and the datas timestamp. The data is sourced from public tweets, adhering to the platforms terms of service and API usage guidelines. All usernames and URLs are encoded to protect user privacy. When using the data, potential biases and limitations should be noted, such as variable data quality due to decentralized collection and preprocessing, noise, spam, or irrelevant content typical of social media platforms, temporal biases due to real-time collection methods, and the datasets limitation to public tweets, excluding private accounts or direct messages.