multiclass_classification
scam-classification-multiclass
Scam Text Classification - Multi-Class Dataset
Overview
This dataset is an enhanced version of the original binary scam classification dataset, now with 5 multi-class categories for more granular scam detection.
Dataset Structure
Original Dataset
14,000 rows of Indian-context SMS/email-style messages
Binary labels: 0 (legit) / 1 (scam)
Domain-specific: Indian banks, UPI, Aadhaar, government agencies
Updated Multi-Class Categories… See the full description on the dataset page: https://huggingface.co/datasets/Shade63/scam-classification-multiclass.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.multi_class_classification_datasetmulticlass-text-classification-datasetautotrain-data-consunmer-complain-multiclass-classification
AutoTrain Dataset for project: consunmer-complain-multiclass-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project consunmer-complain-multiclass-classification.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"feat_Unnamed: 0": null,
"text": "This is awful and borderline abuse. I can't… See the full description on the dataset page: https://huggingface.co/datasets/harperlucy2023/autotrain-data-consunmer-complain-multiclass-classification.multi_class_classification_dataset_openai_predictions