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dataset_info:
features:
- name: index
dtype: int64
- name: prompt
dtype: string
- name: name
dtype: string
- name: story
dtype: string
splits:
- name: train
num_bytes: 656176355
num_examples: 66851
download_size: 370967759
dataset_size: 656176355
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This is a medium-length story dataset introduced in **LongStory: Coherent, Complete and Length Controlled Long story Generation** : [https://arxiv.org/abs/2311.15208](https://arxiv.org/abs/2311.15208).
The dataset was collected by the authors from Reedsy Prompts : [https://blog.reedsy.com/short-stories/](https://blog.reedsy.com/short-stories/), as of May 2023.
In the original paper, the authors use a 60k/4k/4k train/validation/test split.
For comparison:
- **WritingPrompts** (Fan et al., 2018): ~768 tokens per story
- **Booksum** (Kryściński et al., 2021): ~6,065 tokens per story
- **BookCorpus** (Project Gutenberg): ~90,000 words per story (approx.)
- (ours) **ReedsyPrompts** : ~2426 tokens per story
Use this :
<pre><code>
from datasets import load_dataset
ds = load_dataset("Iyan/reedsyPrompts")
print(ds["train"][0]['index'])
print(ds["train"][0]['prompt']) # the prompt of the story
print(ds["train"][0]['name']) # the title of the story
print(ds["train"][0]['story'])
</code></pre>
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