rules

app.py

@@ -147,11 +147,13 @@ def main():
     st.markdown("## Rules")
     st.markdown(
         """
-        - **Datasets & Pretrained Weights:** The use of publicly available datasets and pretrained weights is allowed. The use of private datasets or pretrained weights is prohibited.
-        - **Action Conditioning:** Future actions can be used to condition future frame predictions.
-        - **Inference Time:** There is no limit on the inference time for any of the challenge. 
-        - **Leaderboard & Final Ranking:** The leaderboard will display results on a public test set; however, the final winner will be determined based on performance on a private test set.
-        - **Reproducibility:** All submissions should be reproducible. Provide code, configuration files, and any necessary instructions to replicate your results.
+        -  The use of publicly available datasets and pretrained weights is allowed. The use of private datasets or pretrained weights is prohibited.
+        -  You may use future actions to condition future frame predictions.
+        -  There is no limit on the inference time for any of the challenge. 
+        -  Naive nearest-neighbor retrieval + seeking ahead to next frames from the training set may result in reasonable performance, but is not permitted in solutions.
+        -  The leaderboard will display results on a public test set; however, the final winner will be determined based on performance on a private test set.
+        -  All submissions should be reproducible. Provide code, configuration files, and any necessary instructions to replicate your results.
+        -  We will not be able to award prizes to individuals in U.S. sanctioned countries. We reserve the right to not award a prize if it violates the spirit of the challenge.
         """,
         unsafe_allow_html=True
     )