quantumly/ens-appraiser-data

ENS估价器——多源训练数据是一个版本化、多源的数据集，旨在为训练机器学习模型提供所需输入，以预测ENS（.eth）域名的市场价值。该数据集整合了多种数据源，包括讨论论坛、加密货币价格、市场状况指标、商标、俱乐部、词汇表和链上交易。每个数据源都有其特定的用途和状态，并提供了详细的模式描述。数据集支持多种语言，并通过带有日期戳的子文件夹进行版本控制，以确保可重复性。

ENS Appraiser — Multi-source Training Data is a versioned, multi-source dataset assembling the inputs needed to train an ML appraiser for ENS (.eth) domain names. The core prediction problem is to predict the market value of a given name, which requires composing several signal types that no single existing dataset provides. The dataset includes data from discourse forums, cryptocurrency prices, market regime indicators, trademarks, clubs, wordlists, and on-chain transactions. Each source is described with its purpose, status, and schema details. The dataset supports multiple languages and is versioned with date-stamped subfolders for reproducibility.