Update README.md

README.md

@@ -150,12 +150,6 @@ LE detection model performance on each life event category:
 | Societal | 97.4 |
 | Avg. | 95.2 |
 
-## Data Availability & Privacy Statement
-
-This model was trained on **PsyEvent**, a subset of the **[SMHD (Self-reported Mental Health Diagnoses)](https://aclanthology.org/C18-1126/)** dataset. 
-
-**Due to the strict Data Usage Agreement of SMHD, we are prohibited from publishing or sharing any proportion of the original dataset (including our annotated subset).** Researchers interested in reproducing this work or using the data must apply for access directly from the original creators of [SMHD (Cohan et al., 2018)](https://ir.cs.georgetown.edu/resources/). We only provide the model weights and inference code here.
-
 
 ## ⚠️ Ethical Considerations & Limitations
 
@@ -171,6 +165,14 @@ The model must **not** be used for automated decision-making in high-stakes scen
 **3. Bias & Errors:**
 Like all models trained on social media data, this model may reflect biases present in the training corpus. It may generate false positives or misinterpret metaphorical language. Users should critically evaluate the model's outputs.
 
+## Data Availability & Privacy Statement
+
+This model was trained on **PsyEvent**, a subset of the **[SMHD (Self-reported Mental Health Diagnoses)](https://aclanthology.org/C18-1126/)** dataset. 
+
+**Due to the strict Data Usage Agreement of SMHD, we are prohibited from publishing or sharing any proportion of the original dataset (including our annotated subset).** Researchers interested in reproducing this work or using the data must apply for access directly from the original creators of [SMHD (Cohan et al., 2018)](https://ir.cs.georgetown.edu/resources/). We only provide the model weights and inference code here.
+
+
+
 ### Citation
 If you use this model or dataset, please cite our paper:
 ```bibtex