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])