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--- |
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dataset_info: |
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features: |
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- name: function |
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dtype: string |
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- name: severity |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1327573 |
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num_examples: 2473 |
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- name: test |
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num_bytes: 237962 |
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num_examples: 437 |
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download_size: 670552 |
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dataset_size: 1565535 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- finance |
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pretty_name: Severity of Vulnerable Solidity Functions |
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size_categories: |
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- 1K<n<10K |
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--- |
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This dataset combines vulnerable functions (scraped from 5 auditting 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/)) and auddited functions with no vulnerabilities (scraped from [Etherscan](https://etherscan.io)) |
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The purpose of the dataset is to enable training of classification models to discriminate between the 4 classes: `none`, `low`, `medium` and `high`. |
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| Field | Description | |
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|-|-| |
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| 1. `function` | Raw solidity code | |
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| 2. `severity` | Severity of vulnerability ('none', `low`, `medium`, `high`) | |
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# Data Analysis |
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<img src="https://huggingface.co/datasets/msc-smart-contract-audition/vulnerability-severity-classification/resolve/main/figures/severity-distribution.png"> |
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<img src="https://huggingface.co/datasets/msc-smart-contract-audition/vulnerability-severity-classification/resolve/main/figures/length-severity-distribution.png"> |
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# Additional Info |
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- The newline characters are escaped (i.e. `\\n`) |
