def collate_fn(example, image_column="image_url", text_column="caption"):
        """Preprocess an example by loading and transforming image and text data.

        Check if the text data in the example is valid by calling the `check_text_data` function.
        Download the image specified by the URL in the image_column by calling the `get_pil_from_url` function.
        If there is any error during the download process, return None.
        Return the preprocessed inputs with transformed image and text data.
        """
        if len(example) != 1:
            raise ValueError(f"Expected 'example' to have exactly one element, but got {len(example)}.")
        example = example[0]

        if not check_text_data(example[text_column]):
            raise ValueError("Text data is not valid")

        url = example[image_column]
        try:
            image = get_pil_from_url(url)
            w, h = image.size
            if h == 1 or w == 1:
                return None
        except Exception:
            return None

        inputs = processor(text=example[text_column], images=[image], return_tensors="pt", padding=True)
        if inputs["input_ids"].shape[1] > max_length:
            return None
        return inputs
Preprocess an example by loading and transforming image and text data.

        Check if the text data in the example is valid by calling the `check_text_data` function.
        Download the image specified by the URL in the image_column by calling the `get_pil_from_url` function.
        If there is any error during the download process, return None.
        Return the preprocessed inputs with transformed image and text data.
        
examples/clip/openvino/user_script.py