Peilin Zheng, Zibin Zheng, Hong-ning Dai
arXiv:1911.00169
Publication year: 2019

Abstract

Blockchain-based cryptocurrencies have received extensive attention recently. Massive data has been stored on permission-less blockchains. The analysis on massive blockchain data can bring huge business values. However, the lack of well-processed up-to-date blockchain datasets impedes big data analytics of blockchain data. To fill this gap, we collect and process the up-to-date on-chain data from Ethereum, which is one of the most popular permission-less blockchains. We name these well-processed Ethereum datasets as XBlock-ETH, which consists of the data of blockchain transactions, smart contracts, and cryptocurrencies (i.e., tokens). The basic statistics and exploration of these datasets are presented. We also outline the possible research opportunities. The datasets with the raw data and codes have been publicly released online.

Keywords

  • Blockchain
  • Data analytics
  • Cryptocurrency
  • Machine learning

Bibtex

@ARTICLE{PZheng:Xblock, 
	author={Peilin Zheng and Zibin Zheng and Hong-Ning Dai}, 
	journal={arXiv.org}, 
	title={XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum}, 
	year={2019}, 
	volume={}, 
	number={}, 
	pages={1-12}, 
	doi={https://arxiv.org/abs/1912.06485}, 
}

Note:

We publish the dataset used in this paper to promote the research in this area. The dataset can be found through this link: http://xblock.pro/.

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