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.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.Depression_detection_redditdepression-tha-classification
Depression_tha_Classification
Deduplicated copy of kornwtp/depression-tha-classification.
Splits
split
rows
test
4,991
train
24,845
validation
3,334
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
DepressionDetection-prompted
Dataset Card for "DepressionDetection"
More Information needed
cmdc-multimodal-depressionreddit-depression-datasetDepression_Detection_Reddit_traindepression-tha-classificationgolden_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.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.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.africa-madagascar-madagascar-tropical-depression-on-jan-29-2026-d396e4bc
Madagascar - Tropical depression on Jan 29 2026 | Africa (Madagascar official open data)
59 rows - 1 Africa country - 1929-2026 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Madagascar as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Madagascar - Tropical depression… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-madagascar-madagascar-tropical-depression-on-jan-29-2026-d396e4bc.thai_depressionWe present the first openly available corpus for detecting depression in Thai. Our corpus is compiled by expert verified cases of depression in several online blogs.
We experiment with two different LSTM based models and two different BERT based models. We achieve a 77.53%% accuracy with a Thai BERT model in detecting depression.
This establishes a good baseline for future researcher on the same corpus. Furthermore, we identify a need for Thai embeddings that have been trained on a more varied corpus than Wikipedia.
Our corpus, code and trained models have been released openly on Zenodo.Depressionafrica-synth-mental-health-depression-dataset-all
Africa Depression Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mental-health-depression-dataset-all.depression_tweetDepression_Severity_Datasetmental-health-depressionThis dataset contains 37,441 multilingual expressions related to mental health, specifically focused on depression detection. It was generated using Anthropic's Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) through the Message Batches API.
Dataset Distribution
By Language
Spanish: 6,612 texts (17.66%)
English: 6,565 texts (17.53%)
Portuguese: 6,438 texts (17.2%)
French: 6,258 texts (16.71%)
German: 5,914 texts (15.8%)
Italian: 5,654 texts (15.1%)
By Mental… See the full description on the dataset page: https://huggingface.co/datasets/malexandersalazar/mental-health-depression.depression-tha-classificationdepressionredsm5_depression
⚕️💬 ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
ℹ️ Looking for a quick preview?A fully paraphrased, anonymized sample with 25 entries is publicly available on the Hugging Face Hub — no user agreement required!
🚦 Access Conditions
This dataset is gated. To obtain access, please complete the access request form at ReDSM5 Agreement Form and submit it via email to eliseo.bao@udc.es. Your request will be reviewed and you’ll receive approval or further… See the full description on the dataset page: https://huggingface.co/datasets/Jeol0519/redsm5_depression.depression-detection
Depression Detection Dataset
Dataset Description
This dataset contains 2,000 Twitter posts annotated for depressive language patterns and emotional distress indicators.
Dataset Summary
Size: 2,000 samples
Source: Twitter posts with mental health indicators
Task: Binary classification (depressive vs. non-depressive content)
Language: English
Data Fields
text: The tweet/post content (string)
label: Binary label (0 = non-depressive, 1 = depressive)… See the full description on the dataset page: https://huggingface.co/datasets/indominousx/depression-detection.DepressionDetection
Dataset Card for "DepressionDetection"
More Information needed
DepressionDetection-prompted
Dataset Card for "DepressionDetection-prompted"
More Information needed