metadata

size_categories:
  - 10K<n<100K
task_categories:
  - multiple-choice
configs:
  - config_name: tom-in-amc
    default: true
    data_files:
      - split: train
        path: data/train.parquet
      - split: dev
        path: data/dev.parquet
      - split: test
        path: data/test.parquet
      - split: dev_human_subset
        path: data/dev_human_subset.parquet
      - split: test_human_subset
        path: data/test_human_subset.parquet
license: apache-2.0
language:
  - en
tags:
  - theory-of-mind

Dataset Card for ToM-in-AMC

The dataset consists of ∼1,000 parsed movie scripts from IMSDb, each corresponding to a character understanding task.

Dataset Description

Homepage: https://shunchizhang.github.io/tom-in-amc/
Repository: https://github.com/ShunchiZhang/ToM-in-AMC
Paper: https://huggingface.co/papers/2211.04684
Point of Contact: [email protected]

Citation

BibTeX:

@inproceedings{yu2024few,
  title = {Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind},
  author = {Yu, Mo and Wang, Qiujing and Zhang, Shunchi and Sang, Yisi and Pu, Kangsheng and Wei, Zekai and Wang, Han and Xu, Liyan and Li, Jing and Yu, Yue and Zhou, Jie},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  year = {2024}
}

Dataset Card Authors

Mo Yu*, Qiujing Wang*, Shunchi Zhang*, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, and Jie Zhou.