depression
Qwen1.5-4B-none_DepressionDetection_Reddit-GGUFMistral-7B-v0.2-none_DepressionDetection_v2-GGUFmental-roberta-depression-onnxLLaMA3-8B-8bit_DepressionDetection_Reddit-GGUFMoriacrafter_-_Gemma-2B-8bit_DepressionDetection_Reddit-ggufMoriacrafter_-_Gemma-2B-4bit_DepressionDetection_Reddit-ggufMoriacrafter_-_Qwen1.5-4B-4bit_DepressionDetection_Reddit-ggufMoriacrafter_-_Qwen-1.8B-4bit_DepressionDetection_v2-gguf
suicide_depression_detectionreddit-depression-cleaned
Dataset Card for Depression: Reddit Dataset (Cleaned)
Dataset Summary
The raw data is collected through web scrapping Subreddits and is cleaned using multiple NLP techniques. The data is only in English language. It mainly targets mental health classification.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/reddit-depression-cleaned.depression-reddit-cleanedThe dataset provided is a Depression: Reddit Dataset (Cleaned)containing approximately
7,000 labeled instances. It consists of two main features: 'text' and 'label'.
The 'text' feature contains the text data from Reddit posts related to depression, while
the 'label' feature indicates whether a post is classified as depression or not.
The raw data for this dataset was collected by web scraping Subreddits. To ensure the data's
quality and usefulness, multiple natural language processing (NLP) techniques were applied
to clean the data. The dataset exclusively consists of English-language posts, and its
primary purpose is to facilitate mental health classification tasks.
This dataset can be employed in various natural language processing tasks related to
depression,such as sentiment analysis, topic modeling, text classification, or any other NLP
task that requires labeled data pertaining to depression from Reddit.suicide_depressionDepressionDetectionstudent-depression-analysis
Assignment #1: EDA & Dataset
Predicting and Preventing Student Depression
Student: Amit GoodmanProgram: Economics & Entrepreneurship, Reichman University (RUNI)Date: March 2026
Project Overview
In this project, I explore the "Student Depression Dataset" to build a narrative around student well-being. By analyzing academic pressure, financial stress, and lifestyle habits, I aim to identify predictable risk factors and uncover actionable protective measures.… See the full description on the dataset page: https://huggingface.co/datasets/ag00dman/student-depression-analysis.