Tweak description

docs/source/openvino/export.mdx

@@ -92,8 +92,8 @@ Optional arguments:
                         typical non-fixed zero point.
   --dataset DATASET     The dataset used for data-aware compression or quantization with NNCF. For language models you
                         can use the one from the list ['auto','wikitext2','c4','c4-new']. With 'auto' the dataset will
-                        be collected from model's generations. For diffusion models -- on of
-                        ['conceptual_captions','laion/220k-GPT4Vision-captions-from-LIVIS','laion/filtered-wit'].For
+                        be collected from model's generations. For diffusion models it should be on of
+                        ['conceptual_captions','laion/220k-GPT4Vision-captions-from-LIVIS','laion/filtered-wit']. For
                         visual language models the dataset must be set to 'contextual'.
   --all-layers          Whether embeddings and last MatMul layers should be compressed to INT4. If not provided an
                         weight compression is applied, they are compressed to INT8.

optimum/commands/export/openvino.py

@@ -138,8 +138,8 @@ def parse_args_openvino(parser: "ArgumentParser"):
             "The dataset used for data-aware compression or quantization with NNCF. "
             "For language models you can use the one from the list ['auto','wikitext2','c4','c4-new']. With 'auto' the "
             "dataset will be collected from model's generations. "
-            "For diffusion models -- on of ['conceptual_captions','laion/220k-GPT4Vision-captions-from-LIVIS',"
-            "'laion/filtered-wit']."
+            "For diffusion models it should be on of ['conceptual_captions',"
+            "'laion/220k-GPT4Vision-captions-from-LIVIS','laion/filtered-wit']. "
             "For visual language models the dataset must be set to 'contextual'."
         ),
     )