Datasets:
Add computer-use-agents task category, link project page
#2
by
nielsr
HF Staff
- opened
README.md
CHANGED
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@@ -1,25 +1,26 @@
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---
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license: apache-2.0
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task_categories:
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- question-answering
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- multiple-choice
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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-api
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tags:
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- geospatial
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---
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# MapEval-API
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[MapEval](https://arxiv.org/abs/2501.00316)-API is created using [MapQaTor](https://arxiv.org/abs/2412.21015).
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# Usage
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@@ -34,17 +35,25 @@ 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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"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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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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- computer-use-agents
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paperswithcode_id: mapeval-api
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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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# MapEval-API
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[MapEval](https://arxiv.org/abs/2501.00316)-API is created using [MapQaTor](https://arxiv.org/abs/2412.21015). [Project Page](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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"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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# Use the prompt as needed
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print(prompt) # Replace with your processing logic
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