datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
suicide_depression_detectionDepressionDetectionDepression_detection_redditdepression-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"
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Depression_Detection_Reddit_traindepression-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"
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DepressionDetection-prompted
Dataset Card for "DepressionDetection-prompted"
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Depression_Detection_Reddit_testDepressionDetection
Dataset Card for "DepressionDetection"
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Depression_Detection_Kaggle_trainDepressionDetection_jsonDepressionDetection_Reddit_Traintrain_DepressionDetection_jsonDepression_Detection_Kaggle_testDepressionDetection_Reddit_Testdepression_detection_testtest_DepressionDetection_jsonmovie_script_depression_detection