Update README.md

README.md

@@ -18,7 +18,7 @@ base_model: h2oai/h2o-danube3-500m-chat
 
 This model is a fine-tuned version of `h2oai/h2o-danube3-500m-chat`, specifically adapted for analyzing and interpreting textual reports from the Conners' Continuous Performance Test II (CPT-II). It has been trained using Low-Rank Adaptation (LoRA) on a dataset of CPT-II results to identify patterns relevant to the assessment of ADHD.
 
-The model takes a textual summary of a patient's CPT-II scores as input and can provide analysis, explanations of the metrics, and potential interpretations.
+The model takes a textual summary of a patient's CPT-II scores from [ADHD Diagnosis Data](https://www.kaggle.com/datasets/arashnic/adhd-diagnosis-data)  as input and can provide analysis, explanations of the metrics, and potential interpretations.
 
 ## Intended Uses & Limitations