A Public Dataset For the ZKsync Rollup

2024-07-26

arXiv.org

AI Summary

High acquisition costs and poor data quality for Layer-2 (L2) blockchain data severely hinder data-driven research in emerging ecosystems such as ZKsync. To address this, we construct and open-source the first high-quality, structured dataset comprehensively capturing one year of on-chain activity on ZKsync Era—filling a critical gap in publicly available, high-fidelity L2 chain data. Leveraging an archival node, our pipeline employs batch synchronization, transaction decoding, state snapshot extraction, and schema normalization to produce a standardized, Parquet-formatted dataset optimized for SQL querying. It comprises over 120 million transactions, tens of millions of addresses, and complete smart contract deployment records. We also release a fully reproducible data extraction workflow and analytical templates. This dataset has already enabled cutting-edge research in MEV modeling, gas optimization, and zk-SNARK verification pattern analysis.

Technology Category

• Data Mining & Knowledge Management: Linked Open Data, Knowledge Graphs & KB Completion
• Search and Optimization: Distributed Search
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets
• Web Mining and Content Analysis: Bridging structured and unstructured data

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. 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.

Problem

• High costs hinder blockchain data use
• Limited research in Layer-2 ecosystems
• ZKsync dataset addresses accessibility issues

Innovation

• Public ZKsync dataset creation
• One-year activity data extraction
• Freely available for research