README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - summarization
task_ids: []
paperswithcode_id: aeslc
pretty_name: 'AESLC: Annotated Enron Subject Line Corpus'
tags:
  - aspect-based-summarization
  - conversations-summarization
  - multi-document-summarization
  - email-headline-generation
dataset_info:
  features:
    - name: email_body
      dtype: string
    - name: subject_line
      dtype: string
  splits:
    - name: train
      num_bytes: 11897245
      num_examples: 14436
    - name: validation
      num_bytes: 1659987
      num_examples: 1960
    - name: test
      num_bytes: 1383452
      num_examples: 1906
  download_size: 7948020
  dataset_size: 14940684
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Dataset Card for "aeslc"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage:
• Repository: https://github.com/ryanzhumich/AESLC
• Paper: This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 11.64 MB
• Size of the generated dataset: 14.95 MB
• Total amount of disk used: 26.59 MB

Dataset Summary

A collection of email messages of employees in the Enron Corporation.

There are two features:

• email_body: email body text.
• subject_line: email subject text.

Supported Tasks and Leaderboards

More Information Needed

Languages

Monolingual English (mainly en-US) with some exceptions.

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 11.64 MB
• Size of the generated dataset: 14.95 MB
• Total amount of disk used: 26.59 MB

An example of 'train' looks as follows.

{
    "email_body": "B/C\n<<some doc>>\n",
    "subject_line": "Service Agreement"
}

Data Fields

The data fields are the same among all splits.

default

• email_body: a string feature.
• subject_line: a string feature.

Data Splits

name	train	validation	test
default	14436	1960	1906

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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",
}

Contributions

Thanks to @patrickvonplaten, @thomwolf, @lewtun for adding this dataset.