metadata
license: creativeml-openrail-m
task_categories:
- text-generation
language:
- en
size_categories:
- 100K<n<1M
viewer: false
tags:
- not-for-all-audiences
For more info on data collection and the preprocessing algorithm, please see Fast Anime PromptGen.
80K unique prompts
safebooru_clean
: Cleaned prompts with upscore ≥ 8 from the Safebooru API
For disclaimers about the Danbooru data, please see Danbooru Tag Generator.
100K unique prompts (each)
danbooru_raw
: Raw prompts with upscore ≥ 3 from Danbooru APIdanbooru_clean
: Cleaned prompts with upscore ≥ 3 from Danbooru API
Python
Download and save the dataset to anime_prompts.csv locally.
pip install datasets
import csv
import datasets
dataset = datasets.load_dataset("FredZhang7/anime-prompts-180K")
train = dataset["train"]
safebooru_clean = train["safebooru_clean"]
danbooru_clean = train["danbooru_clean"]
danbooru_raw = train["danbooru_raw"]
with open("anime_prompts.csv", "w") as f:
writer = csv.writer(f)
writer.writerow(["safebooru_clean", "danbooru_clean", "danbooru_raw"])
for i in range(len(safebooru_clean)):
writer.writerow([safebooru_clean[i], danbooru_clean[i], danbooru_raw[i]])