Update README.md

README.md

@@ -63,7 +63,7 @@ You can find our dataset on huggingface: 🤗[InfoChartQA Dataset](https://huggi
 
 # Usage
 
-Each question entry is arranged as follows. ** Note that for visual questions, there may be some extra input figures, which are cropped from the orginal figure. We present their bboxes in "extra_input_figure_bbox". **
+Each question entry is arranged as follows. **Note that for visual questions, there may be some extra input figures, which are cropped from the orginal figure. We present their bboxes in "extra_input_figure_bbox".**
 ```
 {
         "question_id": id of the question,
@@ -75,7 +75,7 @@ Each question entry is arranged as follows. ** Note that for visual questions, t
         "instructions": instructions,
         "url": url of the input image,
         "extra_input_figure_ids": ids of the extra input figures,
-        "extra_input_figure_bbox": bbox of the extra input figures, in [x,y,w,h] format w/o normalization.
+        "extra_input_figure_bboxes": bbox of the extra input figures, in [x,y,w,h] format w/o normalization.
         "difficulty": difficulty level,
         "chart_type": chart_type,
 }
@@ -85,7 +85,7 @@ Each question is built by:
 
 ```
 input_image: item["url"] (may need to download for models that don't support url input)
-extra_input_image: Cropped input_image using item["extra_input_figure_bbox"],
+extra_input_image: Cropped input_image using item["extra_input_figure_bboxes"],
 input_text: item["question"] + item["instructions"] (if any)
 ```
 
@@ -125,7 +125,7 @@ for query in tqdm(ds):
         For example, for model like Qwen2.5-VL, you may need to down load the image first and pass the local image path to the model,
         like: input_figure = YOUR_LOCAL_IMAGE_PATH OF query['figure_id']
         Moreover, for questions with extra figure input, you may need to crop figure, for example,
-        extra_input_figures = [crop(input_figure,bbox) for bbox in query["extra_input_figure_bbox"]]
+        extra_input_figures = [crop(input_figure,bbox) for bbox in query["extra_input_figure_bboxes"]]
     """
 
     # Replace with your model