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ZombitX64/UncensoredOssbit

published by @ZombitX64

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
336
Last 30 days
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Likes
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Size
36.6 MB
Created on HF
2025-08-06
Age
1 years ago

Description

UncensoredOssbit

About This Dataset

This dataset was created for the development and research of uncensored conversational AI models. The goal is to provide a resource for training assistants that do not apply traditional content filtering, allowing for open-ended and unrestricted dialogue. This can be useful for research on model alignment, robustness, and understanding the impact of content moderation in AI systems.

Warning: This dataset contains content that is… See the full description on the dataset page: https://huggingface.co/datasets/ZombitX64/UncensoredOssbit.

Tags

task_categories:text-generationlanguage:enlicense:mitsize_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:uscsvuncensoredai-assistant

README current version from Hugging Face


dataset: true
tags:

  • csv
  • uncensored
  • ai-assistant
    license: mit
    language:
  • en
    pretty_name: UncensoredOssbit
    dataset_info:
    features:
    • name: instruction
      dtype: string
    • name: input
      dtype: string
    • name: output
      dtype: string
    • name: rejected
      dtype: string
      splits:
    • name: train
      num_examples: 68438
      download_size: 72091660
      dataset_size: 72091660
      task_categories:
  • text-generation

UncensoredOssbit

About This Dataset

This dataset was created for the development and research of uncensored conversational AI models. The goal is to provide a resource for training assistants that do not apply traditional content filtering, allowing for open-ended and unrestricted dialogue. This can be useful for research on model alignment, robustness, and understanding the impact of content moderation in AI systems.

Warning: This dataset contains content that is highly sensitive, offensive, illegal, or harmful. It is intended strictly for research by responsible parties, and should not be used in production or for any unlawful purpose. Use with extreme caution.

Dataset Description

UncensoredOssbit is a collection of 68438 conversational samples for training uncensored AI assistants. Each entry contains an instruction, input, output, and a rejected response field. The dataset is designed for research and development of open conversational AI models.

Features

  • instruction: System prompt for the AI assistant.
  • input: User's question or prompt.
  • output: AI assistant's response.
  • rejected: Standardized rejection message.

Usage

from datasets import load_dataset
ds = load_dataset("ZombitX64/UncensoredOssbit")

License

MIT

Citation

@misc{UncensoredOssbit2025,
  title={UncensoredOssbit},
  author={ZombitX64},
  year={2025},
  howpublished={\url{https://huggingface.co/datasets/ZombitX64/UncensoredOssbit}}
}

README history 4 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. 2025-08-06Update README.md84377311.9 KB
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  2. 2025-08-06Upload README.md with huggingface_hub3135d1e2 KB
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  3. 2025-08-06Upload datasetd9923f9391 B
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  4. 2025-08-06initial commita2681240 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.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-08-07[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("ZombitX64/UncensoredOssbit")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ZombitX64/UncensoredOssbit", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ZombitX64/UncensoredOssbit
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