mlsanityData to 14 Oct 2026

CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic

arXiv 2511.03102 ↗First posted 5 Nov 2025cs.CL cs.AIcited by 3

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Abstract (arXiv)

Mental health disorders affect millions worldwide, yet early detection remains a major challenge, particularly for Arabic-speaking populations where resources are limited and mental health discourse is often discouraged due to cultural stigma. While substantial research has focused on English-language mental health detection, Arabic remains significantly underexplored, partly due to the scarcity of annotated datasets. We present CARMA, the first automatically annotated large-scale dataset of Arabic Reddit posts. The dataset encompasses six mental health conditions, such as Anxiety, Autism, and Depression, and a control group. CARMA surpasses existing resources in both scale and diversity. We conduct qualitative and quantitative analyses of lexical and semantic differences between users, providing insights into the linguistic markers of specific mental health conditions. To demonstrate the dataset's potential for further mental health analysis, we perform classification experiments using a range of models, from shallow classifiers to large language models. Our results highlight the promise of advancing mental health detection in underrepresented languages such as Arabic.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 11 of its 28 references that are in the map. First posted on arXiv 5 Nov 2025.

Builds on

11 of 28 references.

References · 11

  1. 2020MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformerscited by 1,463
  2. 2024Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inferencecited by 554
  3. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 362
  4. 2021Muppet: Massive Multi-task Representations with Pre-Finetuningcited by 192
  5. 2020ARBERT & MARBERT: Deep Bidirectional Transformers for Arabiccited by 166
  6. 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 119
  7. 2017Depression and Self-Harm Risk Assessment in Online Forumscited by 84
  8. 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditionscited by 73
  9. 2024Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learningcited by 7
  10. 2024MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcarecited by 4
  11. 2025AraHealthQA 2025: The First Shared Task on Arabic Health Question Answeringcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.