email-classification
email_classificationemail-classification-llama2-7b-peftEmail-Classification-Systemdistilbert-lora-multilabel-email-intent-classificationautonlp-email-classification-657119381unsloth-mistral-7b-instruct-v0.3-bnb-4bit-email-classificationemail-spam-classification-mergedemail_classification_updated_dist_v2
email-classification-dataset
Dataset Card for Email Classification Dataset
The Email Classification Dataset contains 10,900 English texts labelled as spam or not_spam.
It is used as training and evaluation data for the spam detection component of the MLOps course project at FIB-UPC.
Dataset Details
Dataset Description
This dataset contains 10,900 English messages for text classification tasks.
The dataset is split into train (8,175 rows, 75%) and test (2,725 rows, 25%)… See the full description on the dataset page: https://huggingface.co/datasets/diegovelilla/email-classification-dataset.multiclass-email-classificationThis dataset comprises of more than 2000 emails across multiple categories, which can he helpful for tasks like LLM training and fine-tuning. The dataset is also provided with a python script that would generate emails automatically
The dataset contains email across 10 different categories namely, "Business", "Personal", "Promotions", "Customer Support", "Job Application", "Finance & Bills", "Events & Invitations", "Travel & Bookings", "Reminders", "Newsletters"
Total emails: 2105
Label… See the full description on the dataset page: https://huggingface.co/datasets/imnim/multiclass-email-classification.email-spam-classification
Email Spam Classification
The dataset consists of a collection of emails categorized into two major classes: spam and not spam. It is designed to facilitate the development and evaluation of spam detection or email filtering systems.
The spam emails in the dataset are typically unsolicited and unwanted messages that aim to promote products or services, spread malware, or deceive recipients for various malicious purposes. These emails often contain misleading subject lines… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/email-spam-classification.email-classification-single-label
Email Classification – Single Label
This dataset is derived from the multiclass-email-classification imnim/multiclass-email-classification dataset and transformed into a single-label email classification dataset.
The dataset was augmented with other email data to have balanced numbers of email example for each label
Task
Single Class email classification. Each email is assigned exactly one category.
Labels
Business
Customer Support
Events &… See the full description on the dataset page: https://huggingface.co/datasets/djeungafrank/email-classification-single-label.Email_Intent_Classification
Dataset Information
This is a dataset of English sentences used in emails with six basic categories: request, informational, transaction, feedback.
An example looks as follows: {"Email": "Your subscription renewal is confirmed. Thank you for staying with us!", "Intent": "Transaction"}
Dataset Sources
Instances generated and annotated by ChatGPT 4.
Uses
Demo for email intent classification tasks.
dlp_email_classification
Dataset Card for my-distiset-26664a66
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/yasserrmd/my-distiset-26664a66/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/yasserrmd/dlp_email_classification.