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modeling_open_provence_standalone.py

@@ -3355,6 +3355,15 @@ class OpenProvenceModel(OpenProvencePreTrainedModel):
             torch_dataloader_kwargs: Optional mapping forwarded directly to the preprocessing
                 ``DataLoader`` to fine-tune worker behaviour (e.g., setting a custom
                 ``worker_init_fn`` or pinning strategy).
+
+        .. caution::
+            Input shape determines how batching behaves. Passing ``question: str`` with
+            ``context: List[str]`` is interpreted as *one* query paired with multiple
+            documents. To batch distinct question–context pairs, provide
+            ``question: List[str]`` and ``context: List[str]`` of equal length. If you
+            supply ``context: List[List[str]]`` the inner lists are assumed to be
+            pre-split sentences and the sentence splitter is skipped—use this form only
+            when you have already segmented the text yourself.
         """
 
         progress_restore: Callable[[], None] | None = None