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@@ -17,4 +17,38 @@ annotations_creators:
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  - expert-generated
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  paperswithcode_id: mapeval-textual
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  ---
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- [MapEval](https://arxiv.org/abs/2501.00316)-Textual is created using [MapQaTor](https://arxiv.org/abs/2412.21015).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - expert-generated
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  paperswithcode_id: mapeval-textual
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  ---
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+
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+
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+ # MapEval-Textual
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+
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+ [MapEval](https://arxiv.org/abs/2501.00316)-Textual is created using [MapQaTor](https://arxiv.org/abs/2412.21015).
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+
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+ ## Usage
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+
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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-Textual", name="benchmark")
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+
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+ # Generate better prompts
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+ for item in ds["test"]:
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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 context, answer the multiple-choice question by selecting the correct option.\n\n"
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+ "Context:\n" + item["context"] + "\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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+ # Use the prompt as needed
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+ print(prompt) # Replace with your processing logic
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+ ```