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".

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.