Baselight

Aeslc (Email Subject Generation Task)

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

@kaggle.thedevastator_uncovering_enron_employees_secrets_exploring_the

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About this Dataset

Aeslc (Email Subject Generation Task)


Aeslc (Email Subject Generation Task)

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

By Huggingface Hub [source]


About this dataset

The AESLC (Automatic Extraction of Semantically-Linked Corporate Communications) dataset provides a unique and captivating glimpse into the lives of Enron employees - from the perspective of communications sent via emails during a period between 1999 to 2004. These anonymous emails not only provide fascinating insight into the daily professional activities, interactions, and relationships within Enron employees, but also offer an educational opportunity for those interested in further exploring corporate communication. Containing such features as email body and subject lines, researchers can tap into this invaluable resource to research topics surrounding linguistics, sentiment analysis, and data mining. Unlock their secrets by discovering what messages were shared amongst these before the breach of scandal that caused their company’s downfall!

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How to use the dataset

This comprehensive dataset includes anonymized emails sent by then Enron employees in the period of 1999 and 2004. By delving into this unique dataset, you can gain a deeper insight into the lives of former Enron employees as well as their professional activities and relationships.

In this guide, we'll provide a walkthrough on how to use this dataset and make meaningful discoveries from it. Let's get started!

Research Ideas

  • Analyzing the connections between Enron employees by tracking their email communications over time to uncover trends and correlations.
  • Examining the emails for keywords or topics as a way to classify each email in order to gain better understanding of what Enron employees were discussing and what activities they were engaging in.
  • Using sentiment analysis techniques on the emails in order to gain insight into the emotional state of Enron employees at different points in time or during particular events or incidents such as when allegations against Enron emerged

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: validation.csv

Column name Description
email_body The body of the email sent by Enron employees. (Text)
subject_line The subject line of the email sent by Enron employees. (Text)

File: train.csv

Column name Description
email_body The body of the email sent by Enron employees. (Text)
subject_line The subject line of the email sent by Enron employees. (Text)

File: test.csv

Column name Description
email_body The body of the email sent by Enron employees. (Text)
subject_line The subject line of the email sent by Enron employees. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.

Tables

Test

@kaggle.thedevastator_uncovering_enron_employees_secrets_exploring_the.test
  • 740.75 KB
  • 1906 rows
  • 2 columns
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CREATE TABLE test (
  "email_body" VARCHAR,
  "subject_line" VARCHAR
);

Train

@kaggle.thedevastator_uncovering_enron_employees_secrets_exploring_the.train
  • 5.93 MB
  • 14436 rows
  • 2 columns
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CREATE TABLE train (
  "email_body" VARCHAR,
  "subject_line" VARCHAR
);

Validation

@kaggle.thedevastator_uncovering_enron_employees_secrets_exploring_the.validation
  • 828.65 KB
  • 1960 rows
  • 2 columns
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CREATE TABLE validation (
  "email_body" VARCHAR,
  "subject_line" VARCHAR
);

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