datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.DepressionDetectionstudent-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.depression-detectionThis dataset contains a collection of posts from Reddit. The posts have been collected from 3 subreddits: r/teenagers, r/SuicideWatch, and r/depression.
There are 140,000 labeled posts for training and 60,000 labeled posts for testing. Both training and testing datasets have an equal split of labels.
This dataset is not mine. The original dataset is on Kaggle: https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch/versions/13
student-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… See the full description on the dataset page: https://huggingface.co/datasets/urmah/student-depression-analysis.golden_seeds_ev_depression
HEAE Golden Seeds: Human Empathy as Encoder Dataset
The first dataset to systematically encode human empathy as structured AI input for depression assessment
🌟 Overview
HEAE Golden Seeds introduces a groundbreaking approach by structurally integrating human empathy into AI decision-making. This meticulously hand-annotated dataset transforms tacit empathetic insights from special education teachers into structured, algorithmically actionable Empathy Vectors (EV)… See the full description on the dataset page: https://huggingface.co/datasets/Plum551/golden_seeds_ev_depression.depression-trials-pubmed-evidence
MatrixNorm TrialEvidence — Depression
Structured, evidence-linked clinical-trial + biomedical-literature data extracted by MatrixNorm. Every record is provenance-stamped (source_url, raw_hash), carries its evidence trail (reasoning_atoms), and is honesty-gated — a claim is only statistically_supported when a p-value/CI/effect was present in the source, and normalized values keep their verbatim source_original_value.
Quality audit: PASS — 0 error(s), 0 warning(s), 5 note(s). See… See the full description on the dataset page: https://huggingface.co/datasets/williamTLmiller/depression-trials-pubmed-evidence.Depressiondepression_tweetdepressionaldinwhyudii_student-depression-and-lifestyle-100k-data
Student Depression & Lifestyle (100k Data)
A large-scale dataset for analyzing the impact of habits on mental health & acad
Dataset Info
Source: Kaggle
Original Size: 1.25 MB
Kaggle Downloads: 3,484
Files: 1
Files
student_lifestyle_100k.csv
Mirrored from Kaggle
ak0212_anxiety-and-depression-mental-health-factors
Anxiety and Depression Mental Health Factors
A Comprehensive Dataset on Anxiety, Depression, and Related Lifestyle
Dataset Info
Source: Kaggle
Original Size: 0.02 MB
Kaggle Downloads: 6,364
Files: 1
Files
anxiety_depression_data.csv
Mirrored from Kaggle
DepressionEmo-SL
Dataset Card for FineGrainedDepressionEmo
Dataset Summary
FineGrainedDepressionEmo is a sentence-level emotion classification dataset
derived from long-form, depression-related user posts. Each post is split into
sentences and each sentence is annotated with a fine-grained emotion label
capturing distinct facets of depressive experience (e.g., sadness,
hopelessness, worthlessness, suicide intent).
The dataset is designed for studying fine-grained emotional signals… See the full description on the dataset page: https://huggingface.co/datasets/samanjoy2/DepressionEmo-SL.depression_adviceDepressionDiagnosis
DepressionDiagnosis
tags: psychology, healthcare, machine learning
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'DepressionDiagnosis' dataset is a collection of anonymized patient records from mental health clinics, designed for machine learning applications in psychology and healthcare. Each record includes patient narratives describing their symptoms and experiences, which are reviewed by trained professionals for… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/DepressionDiagnosis.Transformed_Depressionindonesia-X-depressiondepression_tweetDepressiondepression_encodedvistral_depression_datadepression_datasetdepression_sharegpt