# HANNA: benchmark for evaluating automatic story generation (Chhun et al.)

- id: src_01M569C6KA7YBAM9ZVNVN225SX
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T01 · tags: level:advanced, evaluation, narrative-quality, dataset
- updated: 2026-10-18T01:17:47.996Z
- url: https://veyrul.com/sources/src_01M569C6KA7YBAM9ZVNVN225SX

Source: https://arxiv.org/abs/2208.11646

```json
{
  "archived": null,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Defines 6 human story-quality criteria and releases 1,056 human-annotated stories from 10 systems; the base for judging whether automatic metrics correlate with human story judgments.",
  "source_type": "paper",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Chhun, Colombo, Suchanek, Clavel",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Stories are short and pre-date current LLMs."
  ],
  "upstream_updated_at": null
}
```

Evidence claims:
- [sourced_fact] Abstract: 6 orthogonal human criteria; HANNA dataset of 1,056 stories by 10 different systems; analysis of how well automatic metrics correlate with human criteria. · locator: arXiv abstract page · source: https://arxiv.org/abs/2208.11646
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- documentation: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · arXiv non-exclusive distribution license; dataset license not checked. · evidence: https://arxiv.org/abs/2208.11646

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