Datasets:
Add project page and visual-document-retrieval task category
Browse filesThis PR adds the project page URL and the `visual-document-retrieval` task category to the dataset card.
README.md
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---
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license: apache-2.0
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task_categories:
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- multiple-choice
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- visual-question-answering
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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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configs:
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- config_name: benchmark
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data_files:
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- split: test
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path: dataset.json
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paperswithcode_id: mapeval-visual
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tags:
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- geospatial
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---
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This dataset was introduced in [MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models](https://arxiv.org/abs/2501.00316)
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# Example
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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
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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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# Load image from Vdata/ directory
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img = PIL.Image.open(item["context"])
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---
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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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- multiple-choice
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- visual-question-answering
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- visual-document-retrieval
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paperswithcode_id: mapeval-visual
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configs:
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- config_name: benchmark
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data_files:
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- split: test
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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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This dataset was introduced in [MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models](https://arxiv.org/abs/2501.00316)
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[Project page](https://mapeval.github.io/)
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# Example
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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.
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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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# Load image from Vdata/ directory
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img = PIL.Image.open(item["context"])
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