update dtypes

run.py

@@ -86,7 +86,9 @@ if __name__ == "__main__":
             )
         ds = datasets.concatenate_datasets([ds, ds_enrichment], split=ds.split, axis=1)
 
-    dtypes = {}
+    dtypes = {"DistanceToDriverAhead": spotlight.Sequence1D, "RPM": spotlight.Sequence1D, "Speed": spotlight.Sequence1D, "nGear": spotlight.Sequence1D,
+    "Throttle": spotlight.Sequence1D, "Brake": spotlight.Sequence1D, "DRS": spotlight.Sequence1D, "X": spotlight.Sequence1D, "Y": spotlight.Sequence1D, "Z": spotlight.Sequence1D}
+    
     for col in ds.column_names:
         if "embedding" in col and isinstance(ds.features[col], datasets.Sequence):
             dtypes[col] = spotlight.dtypes.embedding_dtype
@@ -99,6 +101,8 @@ if __name__ == "__main__":
         )
     print(f"Serving Hugging Face dataset {hf_settings}.")
     
+    ds_s = ds.
+    
     
     spotlight.show(
         ds, host="0.0.0.0", port=7860, wait="forever", dtype=dtypes, layout="esc50-layout.json", analyze=False