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@@ -88,3 +88,26 @@ Each instance in the dataset contains the following primary fields:
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  * `task_id` or `question_id_original`: Original identifier for the question/task.
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  * `correct_answer`: The correct option label, if applicable (e.g., for problem-solving tasks).
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  * Other dataset-specific information.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  * `task_id` or `question_id_original`: Original identifier for the question/task.
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  * `correct_answer`: The correct option label, if applicable (e.g., for problem-solving tasks).
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  * Other dataset-specific information.
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+ ## How to Use
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+ You can load SimBench using the `datasets` library. Since the data is stored in `.pkl` files, ensure you have a local copy of the dataset loading script (typically `SimBench.py` or the name of your dataset on the Hub) in your working directory or Python path if `datasets` cannot automatically find it for this format.
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the 'default' configuration which contains both SimBenchPop and SimBenchGrouped
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+ simbench_data_dict = load_dataset("pitehu/SimBench", name="default")
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+
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+ # Access SimBenchPop
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+ simbench_pop = simbench_data_dict["SimBenchPop"]
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+
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+ # Access SimBenchGrouped
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+ simbench_grouped = simbench_data_dict["SimBenchGrouped"]
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+
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+ # Example: Accessing the first instance in SimBenchPop
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+ instance = simbench_pop[0]
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+ print(instance)
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+