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Ivan864837/Guilherme34_uncensor

published by @Ivan864837

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
37
Last 30 days
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Size
1.5 MB
Created on HF
2026-09-29
Age
22 days ago

Description

huihui-ai/Guilherme34_uncensor

This dataset is a copy of Guilherme34/uncensor

This dataset is used for fine-tuning of huihui-ai/gemma-3-1b-it-abliterated,

please refer to GRPO with Unsloth.

Usage

from datasets import Dataset

import json

# Define the system prompt that instructs the model to use a specific format

SYSTEM_PROMPT = """

Respond in the following format:

<reasoning>

...

</reasoning>

<answer>

...

</answer>

"""

def get_harmful_questions(split="train"… See the full description on the dataset page: https://huggingface.co/datasets/Ivan864837/Guilherme34_uncensor.

Tags

language:enlicense:apache-2.0size_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


license: apache-2.0
language:

  • en
    size_categories:
  • n<1K

huihui-ai/Guilherme34_uncensor

This dataset is a copy of Guilherme34/uncensor

This dataset is used for fine-tuning of huihui-ai/gemma-3-1b-it-abliterated,
please refer to GRPO with Unsloth.

Usage

from datasets import Dataset
import json

# Define the system prompt that instructs the model to use a specific format
SYSTEM_PROMPT = """
Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
"""

def get_harmful_questions(split="train", file_path="harmful.jsonl"):
    data = []
    with open(file_path, "r", encoding="utf-8") as f:
        for line in f:
            try:
                item = json.loads(line.strip())
                data.append({
                    "prompt": [
                        {"role": "system", "content": SYSTEM_PROMPT},
                        {"role": "user", "content": item["question"]}
                    ],
                    "answer": item["answer"]
                })
            except json.JSONDecodeError:
                print(f"Skipping invalid JSON line: {line.strip()}")
                continue
    
    dataset = Dataset.from_list(data)
    return dataset

dataset = get_harmful_questions(file_path="huihui-ai/Guilherme34_uncenso/harmful.jsonl")

README history 1 revision

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. 2026-09-29Duplicate from huihui-ai/Guilherme34_uncensor1cdf6181.5 KB
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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. 2026-09-30[bot] Conversion to Parquetopen1 💬#1
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Read further

Metadata

License
apache-2.0

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("Ivan864837/Guilherme34_uncensor")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Ivan864837/Guilherme34_uncensor", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Ivan864837/Guilherme34_uncensor
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