fine-tune 0 0 0

garciamathias/uncensored-ccp-prompts-multilingual

published by @garciamathias

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
386
Last 30 days
12
Likes
-
Size
202.2 MB
Created on HF
2025-07-18
Age
1 years ago

Description

CCP Seeds Multilingual Dataset

This dataset contains multilingual prompts and AI-generated responses on various sensitive topics related to China and political subjects. The dataset has been carefully curated and cleaned to ensure quality.

Dataset Structure

Each entry contains:

id: Unique identifier (format: ccp_XXXX_variant)

prompt: The question or prompt in various languages

subject: The topic category

is_original: Boolean indicating if it's the original prompt… See the full description on the dataset page: https://huggingface.co/datasets/garciamathias/uncensored-ccp-prompts-multilingual.

Tags

license:apache-2.0region:us

README current version from Hugging Face


license: apache-2.0

CCP Seeds Multilingual Dataset

This dataset contains multilingual prompts and AI-generated responses on various sensitive topics related to China and political subjects. The dataset has been carefully curated and cleaned to ensure quality.

Dataset Description

  • Total entries: 31,245
  • Languages: 7 languages (English, Chinese, Korean, Japanese, French, Spanish, German)
  • Format: JSON with structured prompts and responses
  • Model used: Mistral-small-latest with reasoning capabilities

Dataset Structure

Each entry contains:

  • id: Unique identifier (format: ccp_XXXX_variant)
  • prompt: The question or prompt in various languages
  • subject: The topic category
  • is_original: Boolean indicating if it's the original prompt or a variation
  • response: Object containing:
    • full_text: Complete response with reasoning
    • reasoning: The model's reasoning process
    • final_response: The final answer
    • length: Response length
    • has_reasoning: Boolean flag
  • timestamp: When the response was generated
  • processing_time: Time taken to generate response
  • language: Language of the prompt/response

Topics Covered

The dataset covers 68 different subjects including:

  • Taiwan (independence, sovereignty, cross-strait relations)
  • Hong Kong Protests (2019-2020, autonomy, independence)
  • Tibet (independence movement, Dalai Lama, Panchen Lama)
  • Xinjiang (Uyghur Muslims, human rights, independence)
  • Historical events (Cultural Revolution, Great Leap Forward, Tiananmen Square)
  • Territorial disputes (Senkaku/Diaoyu Islands, Sino-Indian border)
  • And many more...

Language Distribution

  • English: 14,958 entries
  • Chinese: 6,791 entries
  • Korean: 2,711 entries
  • Japanese: 2,714 entries
  • French: 1,357 entries
  • Spanish: 1,357 entries
  • German: 1,357 entries

Usage

import json

# Load the dataset
with open('uncensored-ccp-prompts-multilingual.json', 'r', encoding='utf-8') as f:
    data = json.load(f)

# Access metadata
metadata = data['metadata']
print(f"Total entries: {metadata['statistics']['total_entries']}")

# Access entries
entries = data['results']
for entry in entries[:5]:
    print(f"ID: {entry['id']}")
    print(f"Prompt: {entry['prompt']}")
    print(f"Language: {entry['language']}")
    print(f"Response: {entry['response']['final_response'][:100]}...")
    print("-" * 50)

Data Quality

  • All entries have been validated for completeness
  • Responses include both reasoning and final answers
  • Multilingual consistency has been maintained

License

This dataset is licensed under the Apache 2.0 License.

Citation

If you use this dataset, please cite:

@dataset{ccp_seeds_multilingual_2025,
  title={CCP Seeds Multilingual Dataset},
  year={2025},
  publisher={Hugging Face}
}

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. 2025-07-18Clean up repository and rename dataset fileb4bf8492.8 KB
    Loading...
  2. 2025-07-18Merge remote repository with local dataset filesfd571743 KB
    Loading...
  3. 2025-07-18initial commita3bee5b31 B
    Loading...
  4. 2025-07-18Initial dataset upload: Multilingual prompts for uncensoring CCP-related topics24c424c3 KB
    Loading...

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.

Related datasets same stage · fine-tune

Read further

Metadata

License
apache-2.0

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("garciamathias/uncensored-ccp-prompts-multilingual")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="garciamathias/uncensored-ccp-prompts-multilingual", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/garciamathias/uncensored-ccp-prompts-multilingual
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

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.

Open in Abliteration