Omkar2118/datasets huggingface dataset:
Multi-Class Depression Detection Dataset

This dataset was created as part of the Master's thesis titled "Multi-Class Depression Detection Through Tweets Using Artificial Intelligence." It contains tweets labeled for five types of depression (Bipolar, Major, Psychotic, Atypical, and Postpartum) using lexicons verified by psychiatrists. Click to add a brief description of the dataset (Markdown and LaTeX enabled).

Introducing paper: Multi Class Depression Detection Through Tweets using Artificial Intelligence
ReplicationPackage_vJan2025_Measuring trade costs and analyzing the determinants of trade growth in Cambodia 1993–2019

This package contains the data and the reported results for the manuscript: Keo B, Li B, Younis W (2025) Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993–2019. PLoS ONE 20(1): e0311754. https://doi.org/10.1371/journal.pone.0311754

The data that support the findings of this study can be found in the research data repository: Keo, B., Li, B., & Younis, W. (2025). Replication package for "Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993-2019" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15253951

Introducing paper: Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993 to 2019