Datasets:
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README.md
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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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# 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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# Access SimBenchPop
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simbench_pop = simbench_data_dict["SimBenchPop"]
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# Access SimBenchGrouped
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simbench_grouped = simbench_data_dict["SimBenchGrouped"]
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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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