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These datasets serve as a basis for other datasets in this family which are built for tasks like Classification or Seq2Seq generation.
1. Smart Contract Vulnerabilities with Explanations (vulnerable-w-explanations)
This repository offers two datasets of Solidity functions,
This dataset comprises vulnerable Solidity functions audited by 5 auditing companies:
(Codehawks, ConsenSys, Cyfrin, Sherlock, Trust Security). These audits are compiled by Solodit.
Usage
from datasets import load_dataset
dataset = load_dataset(
"msc-smart-contract-audition/vulnerable-functions-base",
split='train',
escapechar='\\',
)
| Field | Description |
|---|---|
1. name |
Title of audit report |
2. severity |
Severity of vulnerability (Low, Medium, High) |
3. description |
Description/Explanation of the vulnerability |
4. recommendation |
Recommended mitigation of the vulnerability |
5. impact |
Explains how the vulnerability affects the smart contract (Optional) |
6. function |
Raw vulnerable solidity code (Sometimes this could be inaccurate. Best efforts were made to clean-up the dataset but some rows might include other programming languages e.g. javascript) |
2. Verified functions (verified-functions)
This repository also includes a dataset with functions with no known vulnerabilities. They were scraped-off from Etherscan.
Specifically, the functions are a part of the top 500 auditted contracts holding at least 1 ETH.
Usage
from datasets import load_dataset
dataset = load_dataset(
"msc-smart-contract-audition/vulnerable-functions-base",
name="verified-functions",
split='train',
escapechar='\\',
)
| Field | Description |
|---|---|
1. function |
Raw solidity code |
Additional Info
- The newline characters are escaped (i.e.
\\n) - The dataset has a single split
train(hence the adjusted loading isntructions).
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