five

FredZhang7/anime-prompts-180K

收藏
Hugging Face2024-06-07 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/FredZhang7/anime-prompts-180K
下载链接
链接失效反馈
官方服务:
资源简介:
--- 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](https://huggingface.co/FredZhang7/anime-anything-promptgen-v2). ## 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](https://huggingface.co/FredZhang7/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. ```bash pip install datasets ``` ```python 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]]) ```
提供机构:
FredZhang7
原始信息汇总

数据集概述

基本信息

  • 许可证: creativeml-openrail-m
  • 任务类别: 文本生成
  • 语言: 英语
  • 数据集大小: 10万<n<100万

数据集内容

  • 80K独特提示:
    • safebooru_clean: 来自Safebooru API的清理后提示,upscore ≥ 8
  • 100K独特提示 (每种):
    • danbooru_raw: 来自Danbooru API的原始提示,upscore ≥ 3
    • danbooru_clean: 来自Danbooru API的清理后提示,upscore ≥ 3

数据集使用

  • 数据集下载后保存为anime_prompts.csv本地文件。
  • 使用Python和datasets库加载数据集,并可选择将数据集导出为CSV格式。
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作