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README.md
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@@ -266,6 +266,17 @@ Introducing IsoBench, a benchmark dataset containing problems from four major ar
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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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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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### TL;DR
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There are 10 subtasks in total: `math_breakpoint, math_convexity, math_parity, graph_connectivity, graph_maxflow, graph_isomorphism, winner_id, puzzle, chemistry, physics`.
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You can load a `subtask` via
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```python
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from datasets import load_dataset
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ds_subtask = load_dataset('isobench/IsoBench', subtask, split='validation')
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```
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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