datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
enron-emailsmail
Enron Email
An app-first viewer for the Enron Email dataset. Part of the Enron Archive.
A live mirror is available at https://mail.enroncorp.com
Features
Core Functionality
151 employee mailboxes browsed from a remote dataset backend
Pseudo-login system - Browse any account; stays logged in until logged off
Folder navigation - Inbox, Sent Items, and custom folders per user
Full email viewing - Read complete emails with headers, body, and attachments
Attachment… See the full description on the dataset page: https://huggingface.co/datasets/enronarchive/mail.enron_spamThis is a version of the Enron Spam Email Dataset, containing emails (subject + message) and a label whether it is spam or ham.
enron-qa-emails-dasovich-jenron_qa_0922enron-qa-questions-dasovich-jenron-emailThis dataset includes emails from Enron Email Dataset with prompts processed from Are Large Pre-Trained Language Models Leaking Your Personal Information?.
To use the dataset, you can run the following in LLM-PBE.
from data.enron import EnronDataset
ds = EnronDataset(data_path="data/enron", pseudonymize=False)
enron_aeslc_emailsenron-ferc-pst
Enron FERC email corpus in native PST
The EDRM Enron v2 email corpus in Microsoft PST format, modified to reduce personal privacy risk. Mailbox structure, MAPI metadata, message bodies, and retained attachments are preserved.
The release contains 171 PST files in data/, with one or more files per custodian.
Count
Version
v1
Messages
1,226,178
Attachments
453,832
PST files
171
Possible uses include email research, e-discovery testing, information retrieval… See the full description on the dataset page: https://huggingface.co/datasets/intellekthq/enron-ferc-pst.enron_emailemail-Enronenron_emails_sample_questionsenron_personalization_test
Dataset Card for "enron_personalization_test"
More Information needed
enron-correspondence-dedup
Enron Correspondence Deduplicated (Enriched GT, Agent-Blind Default)
The deduplicated, ground-truth-enriched Enron correspondence benchmark:
exact-duplicate bodies removed from the cleaned CMU Enron corpus (517,390
rows in → 247,523 unique-text rows out, 269,867 duplicates dropped; first
occurrence wins on maildir-path order; empty bodies never deduped against
each other). This dataset is the core evaluation corpus for the
LLM Mailroom agent-sorting stack.
⚠️… See the full description on the dataset page: https://huggingface.co/datasets/Lucius-Morningstar/enron-correspondence-dedup.EnronSpamenron-mail-corpus-mini
Dataset Card for "enron-mail-corpus-mini"
More Information needed
enron_emails_parsedenronhop-singlehopfiltered_enronenron-maildirThis dataset is originally from the Enron dataset May 7, 2015 Version - CMU, and has been processed to match the Hugging Face style for easy downstream use.
email-Enron-25Source Paper: https://arxiv.org/abs/1802.06916
Usage
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron-25", split="train")
Citation
@article{Benson-2018-simplicial,
author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},
title = {Simplicial closure and higher-order link prediction},
year = {2018},
doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Enron-25.enron_canary
CanaryBench-Enron
Frequency-aware canary injection benchmark for auditing memorization
in finetuned language models, built on the Enron email corpus.
Dataset Description
This dataset is part of CanaryBench, a benchmark for evaluating
memorization in finetuned language models across repetition tiers
and privacy regimes.
Frequency tiers: 1×, 10×, 50×
Domain: Email (Enron corpus)
Member canaries: 770
Reference canaries: 1000
Files… See the full description on the dataset page: https://huggingface.co/datasets/anony-mouse123/enron_canary.mails_enronenron-emailsenron_spam_dataenron_mailENRON-spamAfter the Enron debacle / scandal in the USA, a dataset of 600,000 emails of 158 employees was made public by the Federal Energy Regulatory Commission. It was later bought by MIT and processed, with some redactions and deletions of attachments. Versions of that dataset are still available at the US Library of Congress and at https://www.cs.cmu.edu/~./enron/.
Wikipedia has a good summary as well, at https://en.wikipedia.org/wiki/Enron_Corpus.
Various subsets of this dataset can be found on… See the full description on the dataset page: https://huggingface.co/datasets/bvk/ENRON-spam.enron_datasetemail-EnronSource Paper: https://arxiv.org/abs/1802.06916
Usage
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron", split="train")
Citation
@article{Benson-2018-simplicial,
author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},
title = {Simplicial closure and higher-order link prediction},
year = {2018},
doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Enron.enron_corpus_0922