Datasets:
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language:
- en
license: mit
task_categories:
- text-generation
tags:
- creative-writing
- storytelling
- synthetic
- procedural
- from-scratch
size_categories:
- 10K<n<100K
---
# AetherStory Dataset
A **procedurally generated** corpus of unique fantasy fables, purpose-built to
train the [AetherStory](https://huggingface.co/wincode/aetherstory) storyteller
model. Every story is synthesised on the fly from a combinatorial space of
realms, creatures, character archetypes, magic systems, and plot scaffolds.
## Why this dataset is unique
It is **not scraped** from the web. Each fable is constructed by code from
hand-written ingredients, so:
- there is **no copyright risk** — every word is original or drawn from
public-domain-style aphorisms,
- the dataset is **fully reproducible** from a single seed,
- the **combination space** is astronomically larger than the corpus itself,
so duplicates are effectively impossible.
See `stats.json` for the exact size and ingredient counts of this release.
## Structure
Each line of `stories.jsonl` is a JSON object:
```json
{
"id": 0,
"text": "In the Glasslands there lived a wind-listener. ...",
"hero": "a wind-listener",
"creature": "a hollow crow",
"realm": "the Glasslands",
"magic": "freezing moments in glass",
"scaffold": "betrayal",
"moral_source": "synthetic",
"moral": "In the end, an unspoken name outlasts the cleverest lie."
}
```
## Regeneration
```bash
python scripts/build_dataset.py --num-stories 50000
```
## License
MIT — the dataset, the generator code, and the curated morals are all released
under MIT. Do whatever you like; attribution appreciated.
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