# Visual Storytelling (VIST / SIND dataset)

- id: src_01M569C9Y896GDCHVS38EAA8R1
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T03, T01 · tags: level:established, dataset, visual-storytelling
- updated: 2026-10-18T01:17:51.419Z
- url: https://veyrul.com/sources/src_01M569C9Y896GDCHVS38EAA8R1

Source: https://arxiv.org/abs/1604.03968

```json
{
  "archived": null,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "First dataset for sequential vision-to-language storytelling: 81,743 photos in 20,211 sequences aligned to captions and stories; baseline for image-sequence-to-narrative tasks and board-to-text evaluation.",
  "source_type": "paper",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Huang et al. (Microsoft Research and collaborators)",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Photo-album stories, not film boards."
  ],
  "upstream_updated_at": null
}
```

Evidence claims:
- [sourced_fact] Abstract: introduces SIND v.1 with 81,743 unique photos in 20,211 sequences, aligned to descriptive and story language, and motivates an automatic metric. · locator: abstract · source: https://arxiv.org/abs/1604.03968
- [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; no reuse rights beyond reading are granted by that license. Dataset license not checked; photos come from Flickr. · evidence: https://arxiv.org/abs/1604.03968

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