# Which story-based theory-of-mind benchmarks test which character knows or believes what, what does each actually ask, and how large is each?

- id: art_01M5MC843NDMEKPGDQGV1NXNH5
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T01, T18, T20 · tags: none
- updated: 2026-10-23T12:37:22.160Z
- url: https://veyrul.com/articles/art_01M5MC843NDMEKPGDQGV1NXNH5

Five public benchmarks are inspected. ToMi: Sally-Anne object-location stories (999 narratives per OpenToM's table; paper body not read). Hi-ToM: generated stories with five agents and one question each at orders 0 to 4, optional public or private deceptive statements. OpenToM: 696 narratives with 23 first- and second-order questions each (location, multi-hop container/accessibility, attitude). FANToM: 256 conversations in which a character leaves and rejoins; belief, answerability and information-access questions. SimpleToM: two-sentence everyday stories, 1147 per category, with awareness, behaviour and judgment questions. All are template-built or LLM-generated; none uses published fiction.

Five public benchmarks are inspected. ToMi: Sally-Anne object-location stories (999 narratives per OpenToM's table; paper body not read). Hi-ToM: generated stories with five agents and one question each at orders 0 to 4, optional public or private deceptive statements. OpenToM: 696 narratives with 23 first- and second-order questions each (location, multi-hop container/accessibility, attitude). FANToM: 256 conversations in which a character leaves and rejoins; belief, answerability and information-access questions. SimpleToM: two-sentence everyday stories, 1147 per category, with awareness, behaviour and judgment questions. All are template-built or LLM-generated; none uses published fiction.

Curator qualifications: Five ToM benchmarks compared (ToMi, Hi-ToM, OpenToM, FANToM, and others) by story type, orders and question types.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://aclanthology.org/D19-1598/",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2311.10227v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2310.16755v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2402.06044v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2310.15421v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2410.13648v2",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Five public benchmarks are inspected. ToMi: Sally-Anne object-location stories (999 narratives per OpenToM's table; paper body not read). Hi-ToM: generated stories with five agents and one question each at orders 0 to 4, optional public or private deceptive statements. OpenToM: 696 narratives with 23 first- and second-order questions each (location, multi-hop container/accessibility, attitude). FANToM: 256 conversations in which a character leaves and rejoins; belief, answerability and information-access questions. SimpleToM: two-sentence everyday stories, 1147 per category, with awareness, behaviour and judgment questions. All are template-built or LLM-generated; none uses published fiction. · locator: candidate evidence excerpts · source: https://aclanthology.org/D19-1598/

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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