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Hi-ToM_Dataset – AI Model by umwyf | AlphaNeural AI

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umwyf/
Hi-ToM_Dataset

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Hi-ToM Dataset

This is the dataset for the paper "Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models".

<img src=media/Picture1.png height=430>

The `Hi-ToM_data` folder

Contains ToMh data consisting of story-question pairs and the corresponding answers. The names of subfolder branches have the following meanings:

Tell / No_Tell: whether or not the stories contain communications among agents.
MC / CoT: the prompting style. MC corresponds to Vanilla Prompting (VP) in the paper, while CoT stands for Chain-of-Thought Prompting (CoTP).
length_n: the story length, i.e. the number of chapters in a story. From 1 to 3.
sample_n: the numbering of different sample stories.
order_n: the ToM order of the question. From 0 to 4.

The `Hi-ToM_prompt` folder

Contains prompt files that can be directly input to API. The data in it are almost the same as Hi-ToM_data, except that answers are eliminated.

Generate new data and prompts

Run the script generate_tomh.sh.