xPXXX/cluster_result

该数据集包含多个配置，每个配置包含id、类型、结构、问题、上下文、答案等特征。数据集主要用于处理与问题回答、上下文理解、以及模型响应（如llama2、gpt3.5、gpt4等）相关的任务。数据集划分为训练集，每个配置的训练集大小和示例数量不同。

This dataset contains multiple configurations, each with features such as id, type, structure, question, context, answer, and model responses (e.g., llama2, gpt3.5, gpt4). The dataset is primarily used for tasks related to question answering, context understanding, and model responses. The dataset is divided into training sets, with varying sizes and numbers of examples for each configuration.

原始信息汇总

数据集概述

数据集配置

配置 chain

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 9787
    • num_examples: 4
• 下载大小: 26061
• 数据集大小: 9787

配置 complex_seman

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 161662
    • num_examples: 68
• 下载大小: 122448
• 数据集大小: 161662

配置 default

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 2274813
    • num_examples: 1000
• 下载大小: 1417147
• 数据集大小: 2274813

配置 false_premise

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 5178
    • num_examples: 2
• 下载大小: 24908
• 数据集大小: 5178

配置 leak

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 125949
    • num_examples: 65
• 下载大小: 92482
• 数据集大小: 125949

配置 log_inf

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 85004
    • num_examples: 32
• 下载大小: 80811
• 数据集大小: 85004

配置 mapping

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 5927
    • num_examples: 3
• 下载大小: 23630
• 数据集大小: 5927

配置 no_ctx_0_info

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: null
  • structure: null
  • question: string
  • context: string
  • answer: null
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 198215
    • num_examples: 93
• 下载大小: 138416
• 数据集大小: 198215

配置 no_ctx_with_similar_info

• 特征:
  • Unnamed: 0: int64
  • id: string
  • type: string
  • structure: string
  • question: string
  • context: string
  • answer: string
  • llama2_response: string
  • label: string
  • gpt3.5_Instr: string
  • gpt4_Instr: string
  • gpt3.5_Instr_Opin: string
  • gpt4_Instr_Opin: string
• 分割:
  • train:
    • num_bytes: 239771
    • num_examples: 102
• 下载大小: 157898
• 数据集大小: 239771