all AI news
DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts
March 26, 2024, 4:44 a.m. | Gabriele Morello, Mojtaba Eshghie, Sofia Bobadilla, Martin Monperrus
cs.LG updates on arXiv.org arxiv.org
Abstract: The DISL dataset features a collection of $514,506$ unique Solidity files that have been deployed to Ethereum mainnet. It caters to the need for a large and diverse dataset of real-world smart contracts. DISL serves as a resource for developing machine learning systems and for benchmarking software engineering tools designed for smart contracts. By aggregating every verified smart contract from Etherscan up to January 15, 2024, DISL surpasses existing datasets in size and recency.
abstract arxiv collection cs.dc cs.lg cs.se dataset diverse ethereum features files learning systems machine machine learning research smart smart contracts systems type world
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Data Engineering Manager
@ Microsoft | Redmond, Washington, United States
Machine Learning Engineer
@ Apple | San Diego, California, United States