KillerShoaib/Jeffrey-Epstein-Emails-From-Epstein-Files

Jeffrey Epstein Emails from Epstein Files

This dataset contains 7,380 emails with 14,835 messages scraped from jmail.world.

Dataset Description

This dataset provides email correspondence from the Jeffrey Epstein Files, scraped directly from the jmail.world website.

Data Source

All emails were scraped from the jmail.world website.

Fields

Field	Type	Description
doc_id	string	Internal document identifier
subject	string	Email subject line
preview	string	Email preview text as shown on the website
from_name	string	Sender name
from_email	string	Sender email
to	string	Recipient(s)
date	string	Email date
body	string	Full email body content

Dataset Statistics

• Total Emails: 7,380
• Total Messages: 14,835
• Source: jmail.world
• Format: Parquet
• Size: ~8 MB

Redaction Notice

The original source files contain redacted information using special block characters (█). These special tokens have been replaced with the [redacted] token for consistency and easier processing. The redactions were present in the original emails as published on jmail.world.

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("KillerShoaib/Jeffrey-Epstein-Emails-From-Epstein-Files")

# Access the data
for example in dataset['train']:
    print(example['subject'])
    print(example['from_name'])
    print(example['body'])

About RLM

This dataset was created to test RLM (Recursive Language Model) implementation. RLM enables LLMs to analyze large datasets by generating and executing Python code in a sandboxed environment rather than loading everything into context. Check out the GitHub repository to learn more.