Email Thread Summary Dataset

Overview:

The Email Thread Dataset consists of two main files: email_thread_details and email_thread_summaries. These files collectively offer a comprehensive compilation of email thread information alongside human-generated summaries.

Email Thread Details:

Description:

The email_thread_details file provides a detailed perspective on individual email threads, encompassing crucial information such as subject, timestamp, sender, recipients, and the content of the email.

Columns:

• thread_id: A unique identifier for each email thread.
• subject: Subject of the email thread.
• timestamp: Timestamp indicating when the message was sent.
• from: Sender of the email.
• to: List of recipients of the email.
• body: Content of the email message.

Additional Information:

The "to" column is available in both CSV and Pickle (pkl) formats, facilitating convenient access to recipient information as a column of lists of strings.

Email Thread Summaries:

Description:

The email_thread_summaries file contains concise summaries crafted by human annotators for each email thread, offering a high-level overview of the content.

Columns:

• thread_id: A unique identifier for each email thread.
• summary: A concise summary of the email thread.

Dataset Structure:

The dataset is organized into threads and emails. There are a total of 4,167 threads and 21,684 emails, providing a rich source of information for analysis and research purposes.

• Threads: 4,167 threads
• Emails: 21,684 emails

Language:

• Languages: English (en)

Use Cases:

1. Natural Language Processing (NLP) Research:
   • Analyze email thread contents and human-generated summaries for advancements in NLP tasks.
2. Text Summarization Models:
   • Train and evaluate text summarization models using the provided email threads and summaries.
3. Email Analytics:
   • Gain insights into communication patterns, sender-receiver relationships, and content analysis.

File Formats:

• CSV Files:
  • Easily importable into various data analysis tools.
• Pickle (pkl) Files:
  • Facilitates direct reading of the "to" column as a column of lists of strings.
• JSON Files:

  • Offers compatibility with JSON data structures, providing an additional option for users who prefer or require this widely-used format in their analytical workflows.

  • JSON File Features Description

    [     {         "thread_id": [unique identifier],         "subject": "[email thread subject]",         "timestamp": [timestamp in milliseconds],         "from": "[sender's name and identifier]",         "to": [             "[recipient 1]",             "[recipient 2]",             "[recipient 3]",             ...         ],         "body": "[email content]"     },     ... ] 

    [     {         "thread_id": [unique identifier],         "summary": "[summary content]"     },     ... ] 

Files Structure:

- Dataset   ├── CSV   │   ├── email_thread_details.csv   │   └── email_thread_summaries.csv   ├── Pickle   │   ├── email_thread_details.pkl   │   └── email_thread_summaries.pkl   └── JSON       ├── email_thread_details.json       └── email_thread_summaries.json 

License:

This dataset is provided under the MIT License.

Disclaimer:

The dataset has been anonymized and sanitized to ensure privacy and confidentiality.