metadata

dataset_info:
  features:
    - name: function
      dtype: string
    - name: severity
      dtype: string
  splits:
    - name: train
      num_bytes: 1327573
      num_examples: 2473
    - name: test
      num_bytes: 237962
      num_examples: 437
  download_size: 670552
  dataset_size: 1565535
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - finance
pretty_name: Severity of Vulnerable Solidity Functions
size_categories:
  - 1K<n<10K

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

This dataset combines vulnerable functions scraped from several auditting companies ((Codehawks, ConsenSys, Cyfrin, Sherlock, Trust Security)) and auddited functions with no vulnerabilities (Scraped from Etherscan)

It's purpose is to train a model to classify code into the 4 classes: none, low, medium and high severity.

Field	Description
1. `function`	Raw solidity code
2. `severity`	Severity of vulnerability ('none', `low`, `medium`, `high`)

Additional Info

The newline characters are escaped (i.e. \\n)