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README.md
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@@ -184,11 +184,34 @@ Introducing IsoBench, a benchmark dataset containing problems from four major ar
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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[More Information Needed]
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### Out-of-Scope Use
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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There are 4 major domains: math, algorithm, game, and science. Each domain has several subtasks. We will show how to load the data for each subtask.
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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#### Mathematics
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#### Algorithms
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There are three algorithmic tasks, with ascending complexity: graph connectivity, graph maximum flow, and graph isomorphism.
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You can download the data by
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```python
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from datasets import load_dataset
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dataset_connectivity = load_dataset('isobench/IsoBench', 'graph_connectivity', split='validation')
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dataset_maxflow = load_dataset('isobench/IsoBench', 'graph_maxflow', split='validation')
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dataset_isomorphism = load_dataset('isobench/IsoBench', 'graph_isomorphism', split='validation')
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```
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Each task has 128 dev samples under the validation split.
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#### Games
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#### Science
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[More Information Needed]
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### Out-of-Scope Use
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