SIENTIAPDE-1712

Update MinioDataFramePayload to reflect changes from training to prediction datasets

- Renamed TRAINING_DATASETS_PREFIX to PREDICTION_DATASETS_PREFIX for clarity.
- Updated object key naming convention to use prediction datasets directory.

laborious/utils/models/minio_dataframe_payload.py

@@ -34,9 +34,9 @@ OFFLOAD_THRESHOLD_BYTES = int(
     float(getenv('SIENTIA_MINIO_OFFLOAD_THRESHOLD_MEGABYTES', '1.5')) * 1024 * 1024
 )
 
-# Relative prefix used for storing offloaded training datasets in MinIO.
+# Relative prefix used for storing offloaded prediction datasets in MinIO.
 # It is also the root directory for retention cleanup listing.
-TRAINING_DATASETS_PREFIX = 'training_datasets'
+PREDICTION_DATASETS_PREFIX = 'prediction_datasets'
 
 OperationKind = Literal['initial', 'transform', 'predict']
 
@@ -56,11 +56,11 @@ def _build_object_key(
         tuple[str, str | None]: Full object key and normalized prefix (or None if at bucket root).
     """
     # Naming convention:
-    #   - Directory is always `training_datasets/<model_name>`
+    #   - Directory is always `prediction_datasets/<model_name>`
     #   - Filename follows the retention-parsing pattern
     basename = f'{model_name}-{operation}-{timestamp}.parquet'
     model_dir = model_name.strip().strip('/')
-    prefix = f'{TRAINING_DATASETS_PREFIX}/{model_dir}'
+    prefix = f'{PREDICTION_DATASETS_PREFIX}/{model_dir}'
     return f'{prefix}/{basename}', prefix