diff --git a/aimodel/src/parse_args.py b/aimodel/src/parse_args.py
index 1644a6b..c7c6053 100644
--- a/aimodel/src/parse_args.py
+++ b/aimodel/src/parse_args.py
@@ -23,6 +23,7 @@ Available subcommands:
 	train				Train an image segmentation head on the output of pretrain-predict. YOU MUST TRAIN A CONTRASTIVE LEARNING MODEL FIRST.
 	train-predict		Make predictions using a model trained through the train subcommand.
 	train-mono			Train a mono rainfall → water depth model.
+	train-mono-predict	Make predictions using a model trained through the train-mono subcommand.
 
 For more information, do src/index.py <subcommand> --help.
 """)
diff --git a/aimodel/src/subcommands/train_mono_predict.py b/aimodel/src/subcommands/train_mono_predict.py
index 3b6d0bf..ed0ab74 100644
--- a/aimodel/src/subcommands/train_mono_predict.py
+++ b/aimodel/src/subcommands/train_mono_predict.py
@@ -71,7 +71,7 @@ def run(args):
 	
 	sys.stderr.write(f"\n\n>>> This is TensorFlow {tf.__version__}\n\n\n")
 	
-	# Note that if using a directory of input files, the output order is NOT GUARANTEED TO BE THE SAME. In fact, it probably won't be.
+	# Note that if using a directory of input files, the output order is NOT GUARANTEED TO BE THE SAME. In fact, it probably won't be (see dataset_mono for more details).
 	dataset = dataset_predict(
 		dirpath_input=args.input,
 		parallel_reads_multiplier=args.read_multiplier