Merge branch 'main' into benchmark-pipeline-server

src/deepsparse/evaluation/integrations/lm_evaluation_harness.py

@@ -67,8 +67,17 @@ def integration_eval(
     """
     pipeline = DeepSparseLM(pipeline=pipeline, batch_size=batch_size)
 
-    datasets = (",").join(datasets) if isinstance(datasets, list) else datasets
-    task_names = utils.pattern_match(datasets.split(","), tasks.ALL_TASKS)
+    datasets = datasets if isinstance(datasets, list) else [datasets]
+    task_names = []
+    for idx, dataset in enumerate(datasets):
+        task_name = utils.pattern_match(dataset, tasks.ALL_TASKS)
+        if not task_name:
+            raise ValueError(
+                f"could recognize the dataset: {datasets[idx]}. Make sure "
+                "that the requested dataset is compatible with the "
+                "llm-evaluation-harness"
+            )
+        task_names.extend(task_name)
 
     _LOGGER.info(f"Selected Tasks: {task_names}")