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fhai50032/Unaligned-Thinking-o1

published by @fhai50032

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
774
Last 30 days
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1.1 MB
Created on HF
2025-01-11
Age
1 years ago

Description

Unaligned Thinking o1 - Uncensored Data from Gemini 2.0 Flash Thinking

Welcome to the "Unaligned Thinking" (Unaligned-Thinking-o1) dataset, a collection of raw toxic, output from the Gemini 2.0 Flash Thinking

This Dataset is created using Prompt Engineering

Disclaimer:

This Dataset contains highly toxic dataset , while still providing top-notch relevant answer very detailed and very verbose , only beaten by sonnet-3.5 gemini-exp-1206 O1

The data contained within this dataset… See the full description on the dataset page: https://huggingface.co/datasets/fhai50032/Unaligned-Thinking-o1.

Tags

license:mitsize_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usthinkingreasoningo1toxicunalignment

README current version from Hugging Face


license: mit
dataset_info:
features:

  • name: input
    dtype: string
  • name: thinking
    dtype: string
  • name: response
    dtype: string
    splits:
  • name: train
    num_bytes: 2044337
    num_examples: 159
    download_size: 1111088
    dataset_size: 2044337
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      tags:
  • thinking
  • reasoning
  • o1
  • toxic
  • unalignment

Unaligned Thinking o1 - Uncensored Data from Gemini 2.0 Flash Thinking

Welcome to the "Unaligned Thinking" (Unaligned-Thinking-o1) dataset, a collection of raw toxic, output from the Gemini 2.0 Flash Thinking

This Dataset is created using Prompt Engineering

Disclaimer:

This Dataset contains highly toxic dataset , while still providing top-notch relevant answer very detailed and very verbose , only beaten by sonnet-3.5 gemini-exp-1206 O1

The data contained within this dataset is entirely uncensored and may include content that is considered offensive, harmful, illegal, or morally reprehensible by conventional standards. I, IsNoobGrammer, have used this model but am not its creator, and I bear no responsibility for the model's inherent biases or the content it generates. I also bear no responsibility for how you choose to utilize this data. Proceed with caution and at your own risk.

This readme.md is partially generated by Gemini too ..

Most of the questions used for this dataset has been generated by through similar process and is included in the dataset

While some of the questions are borrowed from Unalignment , most of the datapoints there is redundant and not so HQ

This Dataset Can be freely used for everything except for Child-Abuse

Topics-Enclosed

  • Scientific/Research (Unethical Experiments)
  • Arts/Media (Harmful Content) questions regarding minor's has been excluded
  • Health/Medical (Unethical Applications)
  • Legal/Justice System
  • Business/Corporate
  • Political/Social
  • Personal/Interpersonal questions regarding minor's has been excluded
  • Technological/Digital questions regarding minor's has been excluded
  • Financial/Economic
  • Security/Defense (Malicious Applications)
  • Remote Access & Control (The RAT Domain)
  • Violence & Disruption (Cyber-Physical)
  • Social Engineering & Manipulation (Scripted Facilitation)
  • Network Attacks & Disruption
  • Data Exfiltration & Theft

This Includes Approximate working script for python , c++ , ps1

Dataset Structure:

This dataset follows the Hugging Face Dataset format and is organized into the following structure:

  • input: (string) The prompt provided to the Gemini 2.0 Flash Thinking Experimental model.
  • thinking: (string) A detailed breakdown of the model's internal thought processes, including its reasoning, analysis, and considerations as it generates a response.
  • response: (string) The model's final, unfiltered response to the input prompt.

Ethical Considerations:

This model is a tool, and like any tool it does it work.

Accessing the Dataset:

This dataset is hosted on Hugging Face at the following repository: https://huggingface.co/datasets/fhai50032/Unaligned-Thinking-o1

You can load and access the dataset using the Hugging Face datasets library in Python:

from datasets import load_dataset

dataset = load_dataset("fhai50032/Unaligned-Thinking-o1")

# Access the training split (if available)
train_data = dataset["train"]

# Access individual examples
example = train_data[0]
input_text = example["input"]
thinking_process = example["thinking"]
response_text = example["response"]

Important Notes:

  • The content generated by this model may be disturbing or harmful. User discretion is strongly advised.
  • The views and opinions expressed in the data are those of the model, not necessarily my own.

Citations:

This dataset contains data generated by IsNoobGrammer using the Gemini 2.0 Flash Thinking Experimental (gemini-2.0-flash-thinking-exp-1219) model.

When citing this dataset, please use the following format:

When referencing the model itself, please use:

  • Gemini 2.0 Flash Thinking Experimental (gemini-2.0-flash-thinking-exp-1219)

Contact:

[email protected] || [email protected]

© 2025 IsNoobGrammer. All Rights Reserved.

README history 11 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.

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Used by abliterated models 6 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

Community discussions 2 threads · 1 open · 2 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. 2025-01-13PRLibrarian Bot: Add language metadata for datasetclosed1 💬#2
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  2. 2025-01-12[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

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("fhai50032/Unaligned-Thinking-o1")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="fhai50032/Unaligned-Thinking-o1", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/fhai50032/Unaligned-Thinking-o1
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Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

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