Update app.py

app.py

@@ -161,6 +161,9 @@ def gradio_interface():
 
         You can download the training data from the [Hugging Face dataset](https://huggingface.co/datasets/openadmet/openadmet-challenge-train-data).
         The test set will remained blinded until the challenge submission deadline. You will be tasked with predicting the same set of ADMET endpoints for the test set molecules.
+        
+        The training and blinded test set will also be made available on the [CDD Vault](https://www.collaborativedrug.com/). An account to access the CDD Vault can be requested by emailing **openadmet@omsf.io**. 
+        Note that by joining the Vault, your account will be visible to other participants, so this option is **not recommended for those wishing to remain anonymous.**
 
         ## 📝 Evaluation
         The challenge will be judged based on the following criteria:
@@ -176,7 +179,7 @@ def gradio_interface():
 
         📅 **Timeline**:  
         - **September 16:** Challenge announcement
-        - **October 10:** Second announcement and sample data release
+        - **October 14:** Second announcement and sample data release
         - **October 27:** Challenge starts
         - **October-November:** Online Q&A sessions and support via the Discord channel
         - **January 19, 2026:** Submission closes