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Wenaka/uncensored_anime

published by @Wenaka

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
449
Last 30 days
31
Likes
1
Size
15.8 GB
Created on HF
2025-10-25
Age
12 months ago

Tags

region:us

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2025-11-05Upload anime_nsfw.zip with huggingface_hub75677060 B
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  2. 2025-10-29Upload uncensored.z02 with huggingface_hubc6069bc0 B
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  3. 2025-10-29Upload uncensored.z01 with huggingface_hub3c4565e0 B
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  4. 2025-10-29Upload uncensored.zip with huggingface_hubbcdc0740 B
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  5. 2025-10-25initial commit6be58790 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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Read further

Community best practices (data hygiene)
Rules for what belongs in a training mix and what does not.
M6 - Uncensored fine-tuning
DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

Repository

FILE .gitattributes FILE anime_nsfw.zip FILE uncensored.z01 FILE uncensored.z02 FILE uncensored.zip

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("Wenaka/uncensored_anime")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Wenaka/uncensored_anime", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Wenaka/uncensored_anime
Browse repository on Hugging Face ->
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