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--- |
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license: creativeml-openrail-m |
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task_categories: |
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- text-generation |
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language: |
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- en |
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size_categories: |
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- 100K<n<1M |
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viewer: false |
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tags: |
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- not-for-all-audiences |
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--- |
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For more info on data collection and the preprocessing algorithm, please see [Fast Anime PromptGen](https://huggingface.co/FredZhang7/anime-anything-promptgen-v2). |
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## 80K unique prompts |
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- `safebooru_clean`: Cleaned prompts with upscore ≥ 8 from the Safebooru API |
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--- |
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For disclaimers about the Danbooru data, please see [Danbooru Tag Generator](https://huggingface.co/FredZhang7/danbooru-tag-generator). |
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## 100K unique prompts (each) |
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- `danbooru_raw`: Raw prompts with upscore ≥ 3 from Danbooru API |
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- `danbooru_clean`: Cleaned prompts with upscore ≥ 3 from Danbooru API |
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--- |
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## Python |
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Download and save the dataset to anime_prompts.csv locally. |
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```bash |
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pip install datasets |
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``` |
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```python |
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import csv |
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import datasets |
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dataset = datasets.load_dataset("FredZhang7/anime-prompts-180K") |
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train = dataset["train"] |
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safebooru_clean = train["safebooru_clean"] |
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danbooru_clean = train["danbooru_clean"] |
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danbooru_raw = train["danbooru_raw"] |
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with open("anime_prompts.csv", "w") as f: |
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writer = csv.writer(f) |
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writer.writerow(["safebooru_clean", "danbooru_clean", "danbooru_raw"]) |
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for i in range(len(safebooru_clean)): |
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writer.writerow([safebooru_clean[i], danbooru_clean[i], danbooru_raw[i]]) |
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``` |