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---
license: mit
configs:
- config_name: vulnerable-w-explanations
data_files: db-vulnerable.csv
default: true
- config_name: verified-functions
data_files: db-verified.csv
language:
- en
tags:
- finance
pretty_name: Smart Contract Vulnerabilities with Explanations
size_categories:
- 1K<n<10K
---
# 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](https://www.codehawks.com/)
- [ConsenSys](https://consensys.io/)
- [Cyfrin](https://www.cyfrin.io/)
- [Sherlock](https://www.sherlock.xyz/)
- [Trust Security](https://www.trust-security.xyz/)
These audits are nicely compiled by [Solodit](https://solodit.xyz/).
## Fields
1. `name` - Title of audit report
2. `severity` - Severity of vulnerabiliy (`Low`, `Medium`, `High`)
3. `description` - Description/Explanation of the vulnerability
4. `recommendation` - Recommended mitigation of the vulnerability
5. `impact` (Optional) - Explains how the vulnerability affects the smart contract
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*)
# Verified functions (`verified-functions`)
This repository also includes a dataset with functions with no known vulnerabilities. They were scraped-off from [Etherscan](https://etherscan.io).
Specifically, the functions are a part of the top 500 auditted contracts holding at least `1 ETH`.
## Fields
1. `function` - Raw solidity code
# Usage
```python
from datasets import load_dataset
dataset = load_dataset("msc-smart-contract-audition/vulnerable-functions-base", escapechar='\\')
```
# Additional Info
This dataset serves as basis for the other datasets in this family which are built for tasks s.a. Classification or Seq2Seq generation.
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