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V3N0M/Uncensored-Alpaca

published by @V3N0M

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2024-06-15
Age
2 years ago

Description

Uncensored Alpaca Dataset: A New Frontier in Language Models

This dataset is a collection of uncensored prompts and responses in the Alpaca format. It aims to provide a diverse and unfiltered source of data for training language models, pushing the boundaries of what these models can understand and generate.

What Makes This Dataset Different?

Uncensored: This dataset includes prompts and responses that touch upon topics that are often censored or avoided in traditional… See the full description on the dataset page: https://huggingface.co/datasets/V3N0M/Uncensored-Alpaca.

Tags

task_categories:text-generationlanguage:enlanguage:hilicense:apache-2.0size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantregion:usalpacauncensoredphi3

README current version from Hugging Face


license: apache-2.0
task_categories:

  • text-generation
    language:
  • en
  • hi
    tags:
  • alpaca
  • uncensored
  • phi3
    pretty_name: Uncensored Alpaca v01
    size_categories:
  • 1M<n<10M

Uncensored Alpaca Dataset: A New Frontier in Language Models

This dataset is a collection of uncensored prompts and responses in the Alpaca format. It aims to provide a diverse and unfiltered source of data for training language models, pushing the boundaries of what these models can understand and generate.

What Makes This Dataset Different?

  • Uncensored: This dataset includes prompts and responses that touch upon topics that are often censored or avoided in traditional datasets. This includes potentially controversial, offensive, or sensitive subjects.
  • Alpaca Format: It follows the same format as the original Alpaca dataset, ensuring compatibility with existing training tools and frameworks.
  • Diversity: The dataset encompasses a wide range of topics, styles, and perspectives, offering a richer and more nuanced representation of human language.

Disclaimer:

This dataset is intended for research purposes only and should be used responsibly. The content within may be offensive or disturbing to some users. It is crucial to use this dataset ethically and to avoid deploying models trained on this data without proper safeguards and ethical considerations.

Usage:

  • Training: This dataset can be used to train language models, enabling them to understand and generate more nuanced and diverse language.
  • Research: Researchers can explore the impact of uncensored data on language model behavior and performance.
  • Ethical Considerations: It is essential to consider the ethical implications of training models on this dataset.

Data Structure:

The dataset is structured as follows:

[
  {
    "instruction": "Write a short story about [topic]",
    "input": "[optional input]",
    "output": "[model response]"
  },
  {
    "instruction": "Translate the following text into [language]: [text]",
    "input": "[text]",
    "output": "[translation]"
  },
  // ... more examples
]

License:

This dataset is licensed under the

license: MIT

Contributing:

Contributions are welcome! If you want to add more prompts and responses to this dataset, please follow the guidelines below:

  • Ethical Considerations: Ensure that your contributions are responsible and avoid promoting harmful content.

  • Format: Use the Alpaca format outlined above.

  • Quality: Submit high-quality prompts and responses.

Important Considerations:

  • This dataset is a work in progress and may contain errors or inconsistencies.

  • We encourage responsible and ethical use of this dataset.

Contact:

If you have any questions or feedback, please contact Telegram.

Disclaimer:

This dataset is provided "as is" without any warranty, express or implied. The use of this dataset is at your own risk.

We believe that this dataset can be a valuable resource for researchers and developers interested in pushing the boundaries of language models. We encourage the use of this dataset for responsible and ethical research.

README history 7 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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  7. 2024-06-15initial commitd91cd5031 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. 2024-06-17[bot] Conversion to Parquetopen1 💬#1
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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("V3N0M/Uncensored-Alpaca")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="V3N0M/Uncensored-Alpaca", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/V3N0M/Uncensored-Alpaca
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