IITP-VDLand: A Comprehensive Dataset on Decentraland Parcels

IITP-VDLand, a comprehensive dataset of Decentraland parcels sourced from diverse platforms. Unlike existing datasets which have limited attributes and records, IITP-VDLand offers a rich array of attributes, encompassing parcel characteristics, trading history, past activities, transactions, and social media interactions. Alongside, we introduce a key attribute in the dataset, namely Rarity score, which measures the uniqueness of each parcel within the virtual world. Addressing the significant challenge posed by the dispersed nature of this data across various sources, we employ a systematic approach, utilizing both available APIs and custom scripts, to gather it. Subsequently, we meticulously curate and organize the information into four distinct segments: (1) Characteristics Data-Fragment, (2) OpenSea Trading History Data-Fragment, (3) Ethereum Activity Transactions Data-Fragment, and (4) Social Media Data-Fragment. We envisage that this dataset would serve as a robust resource for training machine- and deep-learning models specifically designed to address real-world challenges within the domain of Decentraland parcels.

IITP-VDLand是一款汇集多平台数据源的去中心化元宇宙平台 (Decentraland) 地块综合数据集。与现有属性与记录维度有限的同类数据集不同，IITP-VDLand拥有丰富多样的属性维度，涵盖地块特征、交易历史、过往活动、交易记录以及社交媒体互动信息。此外，本数据集新增了一项核心属性——稀有度评分 (Rarity score)，用于衡量该虚拟世界中每一块地块的独特性。针对该类数据分散于多源平台所带来的显著采集难题，我们采用了系统化的采集方案，结合现有应用程序编程接口 (Application Programming Interface，简称API) 和自定义脚本完成数据采集。随后，我们对采集到的信息进行了精细化的整理与分类，将其划分为四个独立的数据片段：(1) 特征数据片段 (Characteristics Data-Fragment)，(2) OpenSea交易历史数据片段 (OpenSea Trading History Data-Fragment)，(3) 以太坊 (Ethereum) 活动交易数据片段 (Ethereum Activity Transactions Data-Fragment)，以及(4) 社交媒体数据片段 (Social Media Data-Fragment)。我们期望本数据集能够为训练专门用于解决Decentraland地块领域实际应用难题的机器学习与深度学习模型提供强有力的支撑性资源。