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preference-agents-experiments/eric_bass-20-split

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Hugging Face2024-06-03 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/preference-agents-experiments/eric_bass-20-split
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资源简介:
--- dataset_info: features: - name: from dtype: string - name: to dtype: string - name: date dtype: string - name: subject dtype: string - name: previous_context dtype: string - name: email dtype: string - name: user_intent dtype: string - name: baseline_generation dtype: string - name: generated_rules dtype: string - name: gold_rule_email dtype: string - name: naiveft_baseline dtype: string - name: rulegen_rules dtype: string - name: rulegen_rules_generated_email dtype: string splits: - name: train num_bytes: 3153636 num_examples: 900 - name: test num_bytes: 777089 num_examples: 225 download_size: 1757522 dataset_size: 3930725 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

This dataset is primarily used for natural language processing tasks related to emails, containing multiple features related to emails such as sender, recipient, date, subject, previous context, email content, user intent, baseline generation, generated rules, gold rule email, naive baseline, rule generation rules, and rule generation rules generated email. The dataset is divided into training and test sets, containing 900 and 225 samples respectively. The download size of the dataset is 1.76MB, and the total size is 3.93MB.
提供机构:
preference-agents-experiments
原始信息汇总

数据集概述

数据集特征

  • from: 数据类型为字符串
  • to: 数据类型为字符串
  • date: 数据类型为字符串
  • subject: 数据类型为字符串
  • previous_context: 数据类型为字符串
  • email: 数据类型为字符串
  • user_intent: 数据类型为字符串
  • baseline_generation: 数据类型为字符串
  • generated_rules: 数据类型为字符串
  • gold_rule_email: 数据类型为字符串
  • naiveft_baseline: 数据类型为字符串
  • rulegen_rules: 数据类型为字符串
  • rulegen_rules_generated_email: 数据类型为字符串

数据集分割

  • train: 包含900个示例,占用3153636字节
  • test: 包含225个示例,占用777089字节

数据集大小

  • 下载大小: 1757522字节
  • 数据集总大小: 3930725字节

配置文件

  • config_name: default
    • data_files:
      • split: train, path: data/train-*
      • split: test, path: data/test-*
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