Email Thread Summary Dataset

Email Thread Details:

The dataset includes comprehensive details for each email thread, such as subject, timestamp, sender, recipient lists, and the body content of emails. The columns are well-defined to enhance usability for various data manipulation tasks:

• thread_id: Unique identifier for each thread.
• subject: The subject line of the email thread.
• timestamp: Time when the message was sent.
• from: The email sender.
• to: List of recipients (available in CSV and Pickle formats).
• body: The full content of the email.

This structure allows the extraction of relationships, time-based patterns, and the in-depth study of conversation flow.

Email Thread Summaries:

Human annotators have provided concise summaries for each thread, offering a high-level view of email content. This feature is highly valuable for training text summarization models and email communication research.

• thread_id: Corresponding thread identifier.
• summary: Brief human-generated summaries of the email thread.

Dataset Statistics:

• Total Threads: 4,167
• Total Emails: 21,684

Languages:

• English (en)

Use Cases:

1. NLP Research: Analyze email contents and summaries to improve NLP models, particularly in contextual understanding and conversation flow.
2. Text Summarization: Use the dataset to train and evaluate AI models designed for summarizing large email threads.
3. Email Analytics: Understand communication dynamics, such as sender-receiver interactions, content trends, and linguistic patterns within email threads.

File Formats:

• CSV: Compatible with most data analysis tools.
• Pickle (pkl): Efficient for Python-based data workflows, specifically for handling lists of recipients.
• JSON: Provides flexibility for modern web-based applications and analytics platforms.