preference-agents-working/enron-top-senders

--- dataset_info: features: - name: message_id dtype: string - name: from dtype: string - name: to dtype: 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: intent dtype: string - name: baseline struct: - name: google/gemma-1.1-2b-it dtype: string - name: google/gemma-1.1-7b-it dtype: string - name: meta-llama/Meta-Llama-3-70B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct dtype: string - name: mistralai/Mistral-7B-Instruct-v0.2 dtype: string - name: automatic_eval struct: - name: google/gemma-1.1-2b-it struct: - name: BERT Cosine Similarity dtype: float64 - name: BLEU Score dtype: float64 - name: ROUGE-L Score dtype: float64 - name: TF-IDF Cosine Similarity dtype: float64 - name: google/gemma-1.1-7b-it struct: - name: BERT Cosine Similarity dtype: float64 - name: BLEU Score dtype: float64 - name: ROUGE-L Score dtype: float64 - name: TF-IDF Cosine Similarity dtype: float64 - name: meta-llama/Meta-Llama-3-8B-Instruct struct: - name: BERT Cosine Similarity dtype: float64 - name: BLEU Score dtype: float64 - name: ROUGE-L Score dtype: float64 - name: TF-IDF Cosine Similarity dtype: float64 - name: mistralai/Mistral-7B-Instruct-v0.2 struct: - name: BERT Cosine Similarity dtype: float64 - name: BLEU Score dtype: float64 - name: ROUGE-L Score dtype: float64 - name: TF-IDF Cosine Similarity dtype: float64 - name: rules struct: - name: meta-llama/Meta-Llama-3-70B-Instruct struct: - name: meta-llama/Meta-Llama-3-70B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct struct: - name: meta-llama/Meta-Llama-3-70B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct dtype: string - name: processed_rules struct: - name: meta-llama/Meta-Llama-3-70B-Instruct struct: - name: meta-llama/Meta-Llama-3-70B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct struct: - name: meta-llama/Meta-Llama-3-70B-Instruct dtype: string - name: meta-llama/Meta-Llama-3-8B-Instruct dtype: string splits: - name: train num_bytes: 97317361 num_examples: 4790 download_size: 39452569 dataset_size: 97317361 configs: - config_name: default data_files: - split: train path: data/train-* ---

原始信息汇总

数据集概述

数据集特征

• message_id: 字符串类型
• from: 字符串类型
• to: 字符串类型
• 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（int32）
• token_count_context: 整数类型（int32）
• intent: 字符串类型
• baseline: 结构体类型，包含多个模型名称，均为字符串类型
• automatic_eval: 结构体类型，包含多个模型的评估指标，包括BERT Cosine Similarity, BLEU Score, ROUGE-L Score, TF-IDF Cosine Similarity，均为浮点类型（float64）
• rules: 结构体类型，包含多个规则名称，均为字符串类型
• processed_rules: 结构体类型，包含多个处理后的规则名称，均为字符串类型

数据集分割

• train: 训练集
  • 数据大小: 97317361字节
  • 示例数量: 4790

数据集大小

• 下载大小: 39452569字节
• 数据集大小: 97317361字节

配置

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