This repository is created to support the paper 'CAMS: An Annotated Corpus for Causal Analysis of Mental health on Social media' (accepted (published) in Language Resources and Evaluation Conference LREC'2022)

We introduce a new dataset for Causal Analysis of Mental health illness in Social media posts (CAMS). We first introduce the annotation schema for this task of causal analysis. The causal analysis comprises two types of annotations, viz, causal interpretation and causal categorization. We show the efficacy of our scheme in two ways: (i) crawling and annotating 3155 Reddit data and (ii) re-annotate the publicly available SDCNL dataset of 1896 instances for interpretable causal analysis. We further combine them as CAMS dataset.

The labeled data could be downloaded from here.

• This corpus can be used freely for research purposes.
• The paper provides details of the creation and use of the corpus.
• If you use the corpus, then please cite the paper.
• Please feel free to send us an email:
  • with feedback regarding the corpus.
  • with information on how you have used the corpus.
  • if interested in a collaborative research project.

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• Install pip for Python 3

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