Maria Inês Silva, Johnnatan Messias, Benjamin Livshits
{"title":"A Public Dataset For the ZKsync Rollup","authors":"Maria Inês Silva, Johnnatan Messias, Benjamin Livshits","doi":"arxiv-2407.18699","DOIUrl":null,"url":null,"abstract":"Despite blockchain data being publicly available, practical challenges and\nhigh costs often hinder its effective use by researchers, thus limiting\ndata-driven research and exploration in the blockchain space. This is\nespecially true when it comes to Layer~2 (L2) ecosystems, and ZKsync, in\nparticular. To address these issues, we have curated a dataset from 1 year of\nactivity extracted from a ZKsync Era archive node and made it freely available\nto external parties. In this paper, we provide details on this dataset and how\nit was created, showcase a few example analyses that can be performed with it,\nand discuss some future research directions. We also publish and share the code\nused in our analysis on GitHub to promote reproducibility and to support\nfurther research.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.18699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Despite blockchain data being publicly available, practical challenges and
high costs often hinder its effective use by researchers, thus limiting
data-driven research and exploration in the blockchain space. This is
especially true when it comes to Layer~2 (L2) ecosystems, and ZKsync, in
particular. To address these issues, we have curated a dataset from 1 year of
activity extracted from a ZKsync Era archive node and made it freely available
to external parties. In this paper, we provide details on this dataset and how
it was created, showcase a few example analyses that can be performed with it,
and discuss some future research directions. We also publish and share the code
used in our analysis on GitHub to promote reproducibility and to support
further research.