Datasets:
Add project page link and clarify description
Browse filesThis PR adds a link to the project page and clarifies the dataset description.
README.md
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---
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-
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language:
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- en
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size_categories:
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- n<1K
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task_categories:
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- question-answering
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- multiple-choice
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configs:
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- config_name: benchmark
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data_files:
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path: dataset.json
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tags:
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- geospatial
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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-Textual
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## Usage
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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
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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}
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# Add a concluding sentence to encourage selection of the answer
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prompt += "
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# Use the prompt as needed
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print(prompt) # Replace with your processing logic
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---
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annotations_creators:
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- expert-generated
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language:
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- en
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license: apache-2.0
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size_categories:
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- n<1K
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task_categories:
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- question-answering
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- multiple-choice
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paperswithcode_id: mapeval-textual
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configs:
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- config_name: benchmark
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data_files:
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path: dataset.json
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tags:
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- geospatial
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---
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# MapEval-Textual
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MapEval-Textual is a benchmark dataset for evaluating the geospatial reasoning capabilities of foundation models. It consists of 700 multiple-choice questions related to spatial relationships, navigation, travel planning, and map interactions across various cities and countries. The dataset is designed to test long-context reasoning abilities.
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[MapEval](https://huggingface.co/papers/2501.00316) | [MapQaTor](https://arxiv.org/abs/2412.21015) | [Project Website](https://mapeval.github.io/)
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## Usage
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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.
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"
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"Context:
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" + item["context"] + "
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"
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"Question:
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" + item["question"] + "
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"
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"Options:
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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}
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"
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# Add a concluding sentence to encourage selection of the answer
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prompt += "
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Select the best option by choosing its number."
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# Use the prompt as needed
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print(prompt) # Replace with your processing logic
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