KETI-AIR/kor_aeslc

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: subject_line
dtype: string
- name: email_body
dtype: string
splits:
- name: train
num_bytes: 11852680
num_examples: 14436
- name: validation
num_bytes: 1699457
num_examples: 1960
- name: test
num_bytes: 1539749
num_examples: 1906
download_size: 8634308
dataset_size: 15091886
license: cc-by-nc-sa-4.0
---

# Dataset Card for "kor_aeslc"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

# Source Data Citation Information
```
@inproceedings{zhang-tetreault-2019-email,
title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation",
author = "Zhang, Rui and
Tetreault, Joel",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-1043",
doi = "10.18653/v1/P19-1043",
pages = "446--456",
}
```

原始信息汇总

数据集概述

数据集配置

• 默认配置：
  • 训练集：路径为 data/train-*
  • 验证集：路径为 data/validation-*
  • 测试集：路径为 data/test-*

数据集信息

• 特征：

  • data_index_by_user：数据类型为 int32
  • subject_line：数据类型为 string
  • email_body：数据类型为 string

• 数据分割：

  • 训练集：
    • 字节数：11852680
    • 样本数：14436
  • 验证集：
    • 字节数：1699457
    • 样本数：1960
  • 测试集：
    • 字节数：1539749
    • 样本数：1906

• 数据大小：

  • 下载大小：8634308 字节
  • 数据集大小：15091886 字节

许可证

• 许可证：cc-by-nc-sa-4.0

数据集引用

@inproceedings{zhang-tetreault-2019-email, title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation", author = "Zhang, Rui and Tetreault, Joel", booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2019", address = "Florence, Italy", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P19-1043", doi = "10.18653/v1/P19-1043", pages = "446--456", }