DISL / README.md
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metadata
language:
  - en
license: mit
size_categories:
  - 1M<n<10M
task_categories:
  - text-generation
paperswithcode_id: disl
pretty_name: 'DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts'
configs:
  - config_name: decomposed
    data_files: data/decomposed/*
  - config_name: raw
    data_files: data/raw/*
tags:
  - code
  - solidity
  - smart contracts
  - webdataset

DISL

The DISL dataset features a collection of 514506 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.

Content

  • the raw subset has full contracts source code and it's not deduplicated, it has 3,298,271 smart contracts
  • the decomposed subset contains Solidity files, it is derived from raw, it is deduplicated using Jaccard similarity with a threshold of 0.9, it has 514,506 Solidity files
  • the cuttoff date is January 15, 2024, approx at block 19010000

If you use DISL, please cite the following tech report:

@techreport{disl2403.16861,
 title = {DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts},
 year = {2024},
 author = {Gabriele Morello and Mojtaba Eshghie and Sofia Bobadilla and Martin Monperrus},
 url = {http://arxiv.org/pdf/2403.16861},
 number = {2403.16861},
 institution = {arXiv},
}
  • Curated by: Gabriele Morello

Instructions to explore the dataset

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)