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@@ -18,11 +18,38 @@ paperswithcode_id: mapeval-visual
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  This dataset was introduced in [MapEval](https://arxiv.org/abs/2501.00316)
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  ## Usage
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  ```python
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  from datasets import load_dataset
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-
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  # Load dataset
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- ds = load_dataset("MapEval/MapEval-API", name="benchmark")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  This dataset was introduced in [MapEval](https://arxiv.org/abs/2501.00316)
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+ ## Prerequisite
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+
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+ Download the Vdata.zip and extract in the working directory.
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+
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  ## Usage
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  ```python
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  from datasets import load_dataset
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+ import PIL.Image
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  # Load dataset
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+ ds = load_dataset("MapEval/MapEval-Visual", name="benchmark")
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+
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+ for item in ds["test"]:
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+
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+ # Start with a clear task description
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+ prompt = (
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+ "You are a highly intelligent assistant. "
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+ "Based on the given image, answer the multiple-choice question by selecting the correct option.\n\n"
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+ "Question:\n" + item["question"] + "\n\n"
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+ "Options:\n"
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+ )
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+
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+ # List the options more clearly
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+ for i, option in enumerate(item["options"], start=1):
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+ prompt += f"{i}. {option}\n"
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+
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+ # Add a concluding sentence to encourage selection of the answer
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+ prompt += "\nSelect the best option by choosing its number."
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+
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+ # Pass the image to the model along with the prompt
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+ img = PIL.Image.open(item["context"])
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+
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+ # Use the prompt as needed
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+ print([prompt, img]) # Replace with your processing logic
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  ```
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