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Datasets:
mrjunos
/
depression-reddit-cleaned

Tasks:
Text Classification
Languages:
English
Size Categories:
1K<n<10K
Tags:
reddit
Sentiment
depression
License:
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Depression: Reddit Dataset (Cleaned)

~7000 Cleaned Reddit Labelled Dataset on Depression

Summary

  • The 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.

  • Extracted from Kaggle: https://www.kaggle.com/datasets/infamouscoder/depression-reddit-cleaned

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Size of downloaded dataset files:
2.82 MB
Size of the auto-converted Parquet files:
1.68 MB
Number of rows:
7,731

Models trained or fine-tuned on mrjunos/depression-reddit-cleaned