AlfredPros/smart-contracts-instructions

---
task_categories:
- question-answering
language:
- en
tags:
- code
- blockchain
- smart contract
- solidity
size_categories:
- 1K<n<10K
viewer: true
license: mit
---
# Smart Contracts Instructions

A dataset containing 6,003 GPT-generated human instruction and Solidity source code data pairs.
GPT models used to make this data are GPT-3.5 turbo, GPT-3.5 turbo 16k context, and GPT-4. Solidity source codes are used from mwritescode's Slither Audited Smart Contracts (https://huggingface.co/datasets/mwritescode/slither-audited-smart-contracts).

Distributions of the GPT models used to make this dataset:
- GPT-3.5 Turbo: 5,276
- GPT-3.5 Turbo 16k Context: 678
- GPT-4: 49

Solidity source codes in this dataset has been processed to replace triple or more newline characters with double newline characters and delete "Submitted for verification at " comments.

# Example Usage
```py
from datasets import load_dataset

# Load dataset
dataset = load_dataset("AlfredPros/smart-contracts-instructions", split="train")

# Print the first row instruction
print(dataset["instruction"][0])
```

原始信息汇总

数据集概述

基本信息

• 任务类别: 问答
• 语言: 英语
• 标签: 代码, 区块链, 智能合约, Solidity
• 数据规模: 1K<n<10K
• 许可证: MIT

数据内容

• 数据集包含: 6,003个由GPT生成的指令和Solidity源代码数据对
• 使用的GPT模型:
  • GPT-3.5 Turbo: 5,276
  • GPT-3.5 Turbo 16k Context: 678
  • GPT-4: 49
• Solidity源代码来源: mwritescode的Slither Audited Smart Contracts
• 数据处理:
  • 替换三个或更多换行符为双换行符
  • 删除"Submitted for verification at "的注释

示例用法

python from datasets import load_dataset

加载数据集

dataset = load_dataset("AlfredPros/smart-contracts-instructions", split="train")

打印第一行指令

print(dataset["instruction"][0])