Datasets › Bengali Social Media Depressive Dataset (BSMDD)

Bengali Social Media Depressive Dataset (BSMDD)

archive 2025-07-28

Our dataset, BSMDD, was collected from various open social media platforms and translated and annotated by native Bengali speakers with expertise in both language and mental health. It contains 21,910 cleaned samples, including 10,961 labeled as Depressed and 10,949 as Non-Depressed. The dataset is publicly accessible, providing a valuable resource for further research in depression detection in Bengali social media content. The expert annotation process, conducted by professionals, ensures high validity, making BSMDD particularly important for advancing mental health research through social media analysis. This dataset is also published on Mendeley.

Mendeley: https://data.mendeley.com/datasets/pdtyb7df6z/1

ResearchGate: https://www.researchgate.net/publication/384660753_Bengali_Social_Media_Depressive_Dataset_BSMDD

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Bengali Social Media Depressive Dataset (BSMDD)

1 variant name, as the archive lists them.

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