preference-agents-working/enron-top-senders

Name: preference-agents-working/enron-top-senders
Creator: preference-agents-working
Published: 2024-04-26 02:56:33
License: 暂无描述

Hugging Face2024-04-26 更新2024-06-12 收录

下载链接：

https://hf-mirror.com/datasets/preference-agents-working/enron-top-senders

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资源简介：

--- 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-* ---

提供机构：

preference-agents-working

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-*

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