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README.md

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 **MADRS-BERT** is a fine-tuned `bert-base-german-cased` model that predicts depression severity scores (0–6) across individual items of the [Montgomery-Åsberg Depression Rating Scale (MADRS)](https://en.wikipedia.org/wiki/MADRS). Each prediction is based on transcribed, structured clinician–patient interview segments.
 
-- 🧾 **Publication**: [https://doi.org/10.21203/rs.3.rs-6555767/v1](https://doi.org/10.21203/rs.3.rs-6555767/v1)
-- 📂 **Example dataset**: [https://github.com/webersamantha/MADRS-BERT](https://github.com/webersamantha/MADRS-BERT/data)
+- **Publication**: [https://doi.org/10.21203/rs.3.rs-6555767/v1](https://doi.org/10.21203/rs.3.rs-6555767/v1)
+- **Example dataset**: [https://github.com/webersamantha/MADRS-BERT](https://github.com/webersamantha/MADRS-BERT/data)
+- **Github Repo**: The code for data curation, finetuning and evaluation is shared in the following github repo: [https://github.com/webersamantha/MADRS-BERT](https://github.com/webersamantha/MADRS-BERT)
 
 This model was developed to support standardized, scalable mental health assessments in both clinical and low-resource settings.