Visual Storytelling (VIST / SIND dataset)
Source: https://arxiv.org/abs/1604.03968
Structured fields
{
"checked_at": "2026-10-17T00:00:00.000Z",
"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",
"source_owner": "Huang et al. (Microsoft Research and collaborators)",
"next_check_at": "2026-10-24T00:00:00.000Z",
"known_limitations": [
"Photo-album stories, not film boards."
]
}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
- [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
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | unknown | unknown | unknown | unknown | arXiv non-exclusive distribution license; no reuse rights beyond reading are granted by that license. Dataset license not checked; photos come from Flickr. |