distilabel-internal-testing/knowledge_graphs

该数据集名为knowledge_graphs，使用distilabel工具创建，包含由mistral AI的open-mixtral-8x22b模型生成的知识图谱示例。数据集的结构包括系统提示、指令、生成模型和生成内容等特征。数据集包含一个训练集，大小为2562字节，包含3个示例。README还提供了如何加载和运行数据集的代码示例。

原始信息汇总

数据集概述

数据集信息

• 特征:
  • system_prompt: 类型为字符串
  • instruction: 类型为字符串
  • generation_model: 类型为字符串
  • generation: 类型为字符串
• 分割:
  • train: 字节数为2562，样本数为3
• 下载大小: 7645字节
• 数据集大小: 2562字节

配置

• 配置名称: default
  • 数据文件:
    • split: train
    • path: data/train-*

标签

• synthetic
• distilabel
• rlaif

数据集结构

• 配置: default
  • 示例: json { "generation": "{"nodes":[{"id":1,"label":"Quantum Mechanics","color":"blue"},{"id":2,"label":"Wave-Particle Duality","color":"orange"},{"id":3,"label":"Heisenbergu0027s Uncertainty Principle","color":"green"},{"id":4,"label":"Superposition","color":"purple"},{"id":5,"label":"Quantum Entanglement","color":"red"}],"edges":[{"source":1,"target":2,"label":"includes","color":"gray"},{"source":1,"target":3,"label":"includes","color":"gray"},{"source":1,"target":4,"label":"includes","color":"gray"},{"source":1,"target":5,"label":"includes","color":"gray"}]}", "generation_model": "open-mixtral-8x22b", "instruction": "Teach me about quantum mechanics", "system_prompt": "You are a knowledge graph expert generator. Help me understand by describing everything as a detailed knowledge graph." }

加载数据集

• 加载方式: python from datasets import load_dataset

  ds = load_dataset("distilabel-internal-testing/knowledge_graphs", "default")

  或者简化为: python from datasets import load_dataset

  ds = load_dataset("distilabel-internal-testing/knowledge_graphs")