Hierarchical Neural Story Generation (WritingPrompts dataset)
Source: https://arxiv.org/abs/1805.04833
Structured fields
{
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Introduced WritingPrompts (300K human stories paired with prompts) and premise-then-passage generation; still the most-cited public prompt-to-story dataset.",
"source_type": "paper",
"availability": "available",
"source_owner": "Fan, Lewis, Dauphin (Facebook AI Research)",
"next_check_at": "2026-10-24T00:00:00.000Z",
"known_limitations": [
"Reddit-sourced; consent/licensing of contributed stories not documented in the pages read."
]
}Evidence claims
- [sourced_fact] Abstract: dataset of 300K human-written stories paired with writing prompts from an online forum; hierarchical generation from premise to passage. · locator: arXiv abstract page source
- [sourced_fact] fairseq examples/stories README provides the dataset download; the fairseq repository is archived (read-only since 2026-03-20). · locator: page text 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 |
|---|---|---|---|---|---|---|
| dataset | unknown | unknown | unknown | unknown | unknown | Stories are user-generated Reddit content; no dataset license located on the page read. |