Dataset Card for "aeslc"

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.