Vulnerable Verified Smart Contracts

<b>Artifact Description</b>Vulnerable Verified Smart Contracts is a dataset of real vulnerable Ethereum smart contracts. Based on the manually labeled Benchmark dataset of Solidity smart contracts. A total of 609 vulnerable contracts are provided, containing 1,117 vulnerabilities.The dataset is split into: "train", "validation" and "test". Each file is in the Apache Parquet data file format.<b>Environment Setup</b>The Pandas library for Python is required to load the dataset. Both Unix-based and Windows systems are supported.<b>Getting Started</b>The following code snippet demonstrates how to load the dataset into a Pandas DataFrame.<br><br>&gt;&gt;&gt; import pandas as pd<br>&gt;&gt;&gt; df = pd.read_parquet("path/to/data")<b>License</b>All Smart Contracts in the dataset are subject to their own original licenses.