README.md

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 API
• danbooru_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]])