DISL The full dataset report is available at: https://arxiv.org/abs/2403.16861 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. - Curated by: Gabriele Morello - License: [MIT] ## Instructions to explore the dataset python from datasets import load_dataset # Load the raw dataset dataset = load_dataset("ASSERT-KTH/DISL", "raw") # OR # Load the decomposed dataset dataset = load_dataset("ASSERT-KTH/DISL", "decomposed") # number of rows and columns num_rows = len(dataset["train"]) num_columns = len(dataset["train"].column_names) # random row import random random_row = random.choice(dataset["train"]) # random source code random_sc = random.choice(dataset["train"])['source_code'] print(random_sc)