datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
enron-qa-emails-dasovich-jPhishing_emails_testPanza-emails
The Panza Emails dataset
This dataset contains collections of emails of three authentic users (david, isabel, and marcus), with personal information (names, places, etc.) replaced by other ones for donor privacy.
Except for these changes, the language of the emails is genuine. The intention of this dataset is to allow researchers to study strategies for text personalization.
The data was donated explicitly for this purpose. This dataset is ethically collected and fully licensed for… See the full description on the dataset page: https://huggingface.co/datasets/ISTA-DASLab/Panza-emails.email-safety-triage-10k
Email Safety Triage 10k
This dataset contains 10,000 supervised examples for classifying email and email-adjacent content for operational triage, phishing/spam risk, and prompt-attack filtering.
Each JSONL row has two string fields:
input: an instruction plus email, security-review text, or prompt/email fragment.
output: compact strict JSON with triage, priority, risk, should_process, confidence, and reason.
The dataset is intended for fine-tuning and evaluating classifiers… See the full description on the dataset page: https://huggingface.co/datasets/weijianzhg/email-safety-triage-10k.email-spam-10kPhishing_emailsmedical-emails-producta-noncase-combo-dataset
Medical Emails Product A and Non-Case Combined Classification Dataset
This dataset contains 800 unique synthetic medical and operational emails in strict JSONL format for email classification training.
Dataset File
medical_emails_producta_noncase_combo_800.jsonl - 800 emails
Classification Categories
The dataset contains 200 unique emails for each combined classification:
Medical Information, Non-Case - Product A medical information request plus a separate… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-producta-noncase-combo-dataset.medical-emails-producta-nonrelevant-combo-dataset
Medical Emails Product A and Non-Relevant Combined Classification Dataset
This dataset contains 800 unique synthetic emails in strict JSONL format for email classification training.
Dataset File
medical_emails_producta_nonrelevant_combo_800.jsonl - 800 emails
Classification Categories
The dataset contains 200 unique emails for each combined classification:
Medical Information, Non-Relevant
Adverse Event, Non-Relevant
Product Complaint, Non-Relevant
Other… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-producta-nonrelevant-combo-dataset.medical-emails-nonrelevant-dataset
Medical Email Classification Dataset - Non-Relevant
This dataset contains 200 unique synthetic emails classified as Non-Relevant for email classification tasks.
Dataset File
medical_emails_nonrelevant_200.jsonl - 200 emails
Classification Category
Non-Relevant
A Non-Relevant email is unrelated to medical information, pharmacovigilance, drug safety, adverse event reporting, product quality, product complaints, or supported pharmaceutical workflows.… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-nonrelevant-dataset.adaption-synthetic-marketing-emails
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-synthetic_marketing_emails
This dataset comprises a curated corpus of synthetically generated marketing emails designed to mimic real-world commercial discourse and internal strategy communications. The samples feature professional correspondence focused on campaign performance analysis, audience segmentation, and strategic planning within the marketing domain.… See the full description on the dataset page: https://huggingface.co/datasets/morningstarxcdcode/adaption-synthetic-marketing-emails.medical-emails-noncase-dataset
Medical Email Classification Dataset - Non-Case Category
This dataset contains 200 unique synthetic emails classified as Non-Case for pharmaceutical/pharmacovigilance email classification tasks.
Classification Category
Non-Case
A Non-Case is an email that is purely operational, administrative, internal or logistical in nature. It does not involve any drug, medication, medical product, patient, health-related event, safety, quality, or commercial evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-noncase-dataset.medical-emails-classification-1600
Ramesh10/medical-emails-classification-1600
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('Ramesh10/medical-emails-classification-1600')
pashto-alpaca-business-emails
📧 Pashto Alpaca Business Emails Dataset
د پښتو سوداګریز بریښنالیکونو ډیټاسیټ
🌟 د سوداګریزو بریښنالیکونو لپاره تر ټولو لوی پښتو ډیټاسیټThe largest Pashto dataset for business email generation
This is a meticulously curated, high-quality dataset of business emails translated into Pashto, designed for Supervised Fine-Tuning (SFT) of Large Language Models (LLMs) for professional communication in Pashto.
🎯 Why This Dataset Matters
Challenge
Our… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/pashto-alpaca-business-emails.medical-emails-multilabel-dataset
Medical Emails Multi-Label Classification Dataset
This dataset contains 1000 synthetic medical emails for multi-label classification across 5 combined categories.
Categories (200 emails each)
Category
Count
Description
Adverse Event + Medical Information
200
Emails reporting adverse symptoms while also requesting clinical/scientific information
Medical Information + Product Complaint
200
Emails requesting clinical guidance while also reporting product quality… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-multilabel-dataset.medical-emails-400-company-products-dataset
Medical Emails Classification Dataset - 400 Company Products
This dataset contains 400 synthetic medical emails for multi-label classification involving company products.
Categories (200 emails each)
#
Classification String
Description
1
Adverse Event, Medical Information, Product Complaint
AE on Product A + MI on Product A + PC on Non-Company Product X
2
Medical Information, Adverse Event, Other
MI on Product A + AE on Non-Company Product X + Other on… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-400-company-products-dataset.email_subject_lineLinus-Emailsadaption-synthetic-marketing-emails-v1
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-synthetic_marketing_emails
This dataset comprises a curated corpus of synthetically generated marketing emails designed to mimic real-world commercial discourse and internal strategy communications. The samples feature professional correspondence focused on campaign performance analysis, audience segmentation, and strategic planning within the marketing domain.… See the full description on the dataset page: https://huggingface.co/datasets/vivekbisen/adaption-synthetic-marketing-emails-v1.author-emails-v2medical-emails-multi-label-dataset
Ramesh10/medical-emails-multi-label-dataset
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('Ramesh10/medical-emails-multi-label-dataset')
medical-emails-company-products-dataset
Medical Emails Classification Dataset - Company Products
This dataset contains 800 synthetic medical emails for multi-label classification involving company products.
Categories (200 emails each)
#
Classification String
Products Involved
1
Medical Information
Product A + Product B
2
Product Complaint
Product A + Product B
3
Adverse Event, Product Complaint
AE on Product A + PC on Product A + PC on Product B
4
Medical Information, Adverse Event, Product… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-company-products-dataset.zc-emailsmedical-emails-cross-product-dataset
Ramesh10/medical-emails-cross-product-dataset
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('Ramesh10/medical-emails-cross-product-dataset')
customer-emailsemailsemailsmedical-emails-classification-1000
Ramesh10/medical-emails-classification-1000
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('Ramesh10/medical-emails-classification-1000')
emails-dataset