Datasets:

HCAI-Lab
/

tombench-en

license: mit
language:
  - en
size_categories:
  - 1K<n<10K
configs:
  - config_name: ambiguous_story_task
    data_files:
      - split: test
        path: ambiguous_story_task.parquet
  - config_name: completion_of_failed_actions
    data_files:
      - split: test
        path: completion_of_failed_actions.parquet
  - config_name: discrepant_desires
    data_files:
      - split: test
        path: discrepant_desires.parquet
  - config_name: discrepant_emotions
    data_files:
      - split: test
        path: discrepant_emotions.parquet
  - config_name: discrepant_intentions
    data_files:
      - split: test
        path: discrepant_intentions.parquet
  - config_name: emotion_regulation
    data_files:
      - split: test
        path: emotion_regulation.parquet
  - config_name: false_belief_task
    data_files:
      - split: test
        path: false_belief_task.parquet
  - config_name: faux_pas_recognition_test
    data_files:
      - split: test
        path: faux_pas_recognition_test.parquet
  - config_name: hidden_emotions
    data_files:
      - split: test
        path: hidden_emotions.parquet
  - config_name: hinting_task_test
    data_files:
      - split: test
        path: hinting_task_test.parquet
  - config_name: knowledge_attention_links
    data_files:
      - split: test
        path: knowledge_attention_links.parquet
  - config_name: knowledge_pretend_play_links
    data_files:
      - split: test
        path: knowledge_pretend_play_links.parquet
  - config_name: moral_emotions
    data_files:
      - split: test
        path: moral_emotions.parquet
  - config_name: multiple_desires
    data_files:
      - split: test
        path: multiple_desires.parquet
  - config_name: percepts_knowledge_links
    data_files:
      - split: test
        path: percepts_knowledge_links.parquet
  - config_name: persuasion_story_task
    data_files:
      - split: test
        path: persuasion_story_task.parquet
  - config_name: prediction_of_actions
    data_files:
      - split: test
        path: prediction_of_actions.parquet
  - config_name: scalar_implicature_test
    data_files:
      - split: test
        path: scalar_implicature_test.parquet
  - config_name: strange_story_task
    data_files:
      - split: test
        path: strange_story_task.parquet
  - config_name: unexpected_outcome_test
    data_files:
      - split: test
        path: unexpected_outcome_test.parquet

ToMBench (English-only, OLMES-ready mirror)

This is a clean, English-only mirror of ToMBench (Chen et al., ACL 2024). Source: https://github.com/zhchen18/ToMBench Paper: arXiv:2402.15052

Why this mirror exists

The official ToMBench distribution is JSONL on GitHub with bilingual (Chinese/English) fields and inconsistent type inference (some rows have option fields as numeric, others as string — breaks datasets.load_dataset("json", ...)). This mirror:

Drops all Chinese-language columns (能力, 故事, 问题, 选项A-D)
Coerces all option fields to string (no type ambiguity)
Normalizes the answer key to single uppercase A/B/C/D (one row had "A. ")
Adds a precomputed gold_index column (0..3) for direct use with MultipleChoiceTask
Splits 20 subtasks into 20 separate configs (one Parquet per subtask)

Schema

Column	Type	Description
`id`	int	Source row index
`ability`	string	Cognitive ability being tested (e.g., "Belief: Location false beliefs")
`story`	string	Story narrative (English)
`question`	string	Question (English)
`option_a` ... `option_d`	string	The four answer options
`answer_key`	string	Correct answer letter, one of "A"/"B"/"C"/"D"
`gold_index`	int	Correct answer 0-based index (0-3)

Configs and sizes

Config	Examples
`ambiguous_story_task`	200
`completion_of_failed_actions`	20
`discrepant_desires`	20
`discrepant_emotions`	40
`discrepant_intentions`	40
`emotion_regulation`	20
`false_belief_task`	600
`faux_pas_recognition_test`	560
`hidden_emotions`	80
`hinting_task_test`	103
`knowledge_attention_links`	20
`knowledge_pretend_play_links`	30
`moral_emotions`	40
`multiple_desires`	20
`percepts_knowledge_links`	40
`persuasion_story_task`	100
`prediction_of_actions`	20
`scalar_implicature_test`	200
`strange_story_task`	407
`unexpected_outcome_test`	300
Total	2860

Loading

from datasets import load_dataset
ds = load_dataset("HCAI-Lab/tombench-en", "false_belief_task", split="test")
print(ds[0])

License

MIT (mirroring the upstream ToMBench license).

For evaluation only. ToMBench authors explicitly forbid using this dataset for training.

Citation

@inproceedings{chen-etal-2024-tombench,
    title={ToMBench: Benchmarking Theory of Mind in Large Language Models},
    author={Chen, Zhuang and others},
    booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics},
    year={2024},
}

This mirror was prepared 2026-05-23 by glennmatlin (HCAI-Lab) for use in the OLMES evaluation pipeline; see eilab-gt/social-data-attribution, branch tom-evals-rebuttal.