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# Hi-ToM Dataset
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This is the dataset for the paper "Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models".
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<img src=media/Picture1.png height=430>
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### The `Hi-ToM_data` folder
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Contains ToMh data consisting of story-question pairs and the corresponding answers.
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The names of subfolder branches have the following meanings:
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- `Tell` / `No_Tell`: whether or not the stories contain communications among agents.
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- `MC` / `CoT`: the prompting style. `MC` corresponds to Vanilla Prompting (VP) in the paper, while `CoT` stands for Chain-of-Thought Prompting (CoTP).
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- `length_n`: the story length, i.e. the number of chapters in a story. From 1 to 3.
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- `sample_n`: the numbering of different sample stories.
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- `order_n`: the ToM order of the question. From 0 to 4.
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### The `Hi-ToM_prompt` folder
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Contains prompt files that can be directly input to API.
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The data in it are almost the same as `Hi-ToM_data`, except that answers are eliminated.
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### Generate new data and prompts
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Run the script `generate_tomh.sh`.
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