preference-agents-working/enron-personalization-sample-with-metrics

--- dataset_info: features: - name: id dtype: string - name: message_id dtype: string - name: from sequence: string - name: to sequence: string - name: date dtype: string - name: subject dtype: string - name: content dtype: string - name: email_context dtype: string - name: token_count_content dtype: int32 - name: token_count_context dtype: int32 - name: content_extracted struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: baseline_generated_emails struct: - name: databricks-dbrx-instruct struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: databricks-llama-2-70b-chat struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: databricks-mixtral-8x7b-instruct struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: automatic_eval struct: - name: databricks-dbrx-instruct struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: databricks-llama-2-70b-chat struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string - name: databricks-mixtral-8x7b-instruct struct: - name: databricks-dbrx-instruct dtype: string - name: databricks-llama-2-70b-chat dtype: string - name: databricks-mixtral-8x7b-instruct dtype: string splits: - name: train num_bytes: 1609987 num_examples: 129 download_size: 889785 dataset_size: 1609987 configs: - config_name: default data_files: - split: train path: data/train-* ---This dataset is primarily used for email-related analysis and processing, including basic email information (such as sender, recipient, date, subject, and content) as well as some structured data (such as extracted content, generated emails, and automatic evaluation results). The dataset is divided into a training set, suitable for training models for email-related tasks.

原始信息汇总

数据集概述

数据集特征

• id: 字符串类型
• message_id: 字符串类型
• from: 字符串序列类型
• to: 字符串序列类型
• date: 字符串类型
• subject: 字符串类型
• content: 字符串类型
• email_context: 字符串类型
• token_count_content: 整数类型（32位）
• token_count_context: 整数类型（32位）
• content_extracted: 结构体类型，包含以下字段：
  • databricks-dbrx-instruct: 字符串类型
  • databricks-llama-2-70b-chat: 字符串类型
  • databricks-mixtral-8x7b-instruct: 字符串类型
• baseline_generated_emails: 结构体类型，包含以下字段：
  • databricks-dbrx-instruct: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型
  • databricks-llama-2-70b-chat: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型
  • databricks-mixtral-8x7b-instruct: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型
• automatic_eval: 结构体类型，包含以下字段：
  • databricks-dbrx-instruct: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型
  • databricks-llama-2-70b-chat: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型
  • databricks-mixtral-8x7b-instruct: 结构体类型，包含以下字段：
    • databricks-dbrx-instruct: 字符串类型
    • databricks-llama-2-70b-chat: 字符串类型
    • databricks-mixtral-8x7b-instruct: 字符串类型

数据集分割

• train: 数据量1609987字节，包含129个样本

数据集大小

• 下载大小: 889785字节
• 数据集大小: 1609987字节