NanQiangHF/alpaca_15k_instruction

---
tags:
- instruction
- alpaca
---
alpaca_15k_instruction.json contains 15K instruction-following data the original authors used for fine-tuning the LLaMA-7B model.

The format is the same as Aplaca. Each dictionary contains the following fields:

instruction: str, instructions given by the user, e.g., Please give me a cup of coffee.
input: str, categories of objects contained in the scene.
output: str, the step-by-step actions to the instruction as generated by gpt-3.5-turbo-0301

Link to the dataset repo: https://github.com/Gary3410/TaPA?tab=readme-ov-file#data-release

原始信息汇总

数据集概述

数据集名称

• alpaca_15k_instruction.json

数据集大小

• 包含15,000条指令遵循数据。

数据集用途

• 用于微调LLaMA-7B模型。

数据格式

• 与Alpaca格式相同。
• 每条数据为一个字典，包含以下字段：
  • instruction: str, 用户给出的指令，例如：“请给我一杯咖啡。”
  • input: str, 场景中包含的对象类别。
  • output: str, 根据指令生成的步骤行动，由gpt-3.5-turbo-0301生成。