datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ecqa_explanation_classifyecqa_classify_94vdo_format_classifyecqa_classify_5Vulnerability-Classify-TP-FPspam-classify
Spam Classification Dataset
Overview
The Spam Classification Dataset contains a collection of SMS messages labeled as either "spam" or "ham" (non-spam). This dataset is designed for binary text classification tasks, where the goal is to classify an SMS message as either spam or non-spam based on its content.
Dataset Structure
The dataset is provided as a single CSV file named spam.csv. It contains 5,572 entries, with each entry corresponding to an SMS message.… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/spam-classify.Puntuation_mark_classifywildchat-factual-classifyclassify15customer-query-classify
customer-query-classify-dataset
Address-Classifyerautotrain-data-classifyerclassifying_member_activity_levels_distilbert_dataset
Classifying Member Activity Levels
Description: Categorize members based on their activity levels, such as low, medium, and high, to enable tailored engagement and retention strategies.
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/classifying_member_activity_levels_distilbert"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/classifying_member_activity_levels_distilbert_dataset.wildentities_classifyapp-classifynews_classifynews-classify-personalizedquery-classify-trainersanct-classify-emailspam-dataset