Cleaned, balanced, and clinically annotated social media dataset
for explainable depression detection research.
Combined from real Twitter and Reddit posts, engineered with
DSM-5-aligned clinical lexicon features, and used to train a
DistilBERT model achieving 96.17% accuracy.
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DATASET STATS
Total Rows → 40,770
Class Balance → 50% Depressed / 50% Not Depressed
Feature Columns → 12
Sources → Twitter + Reddit
━━━━━━━━━━━━━━━━━━━━━━━━━━━… See the full description on the dataset page:
https://huggingface.co/datasets/mdsajjadullah/explainDepression-social-media-xai.
