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NASK-PIB/non-harmful_prompts_sample

published by @NASK-PIB

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2025-01-29
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Description

Non-Harmful Prompts Sample Dataset

The dataset Non-Harmful Prompts Sample is a subset of benign queries related to red-teaming prompts generated using the Bielik-11B-v2 model. This subset was manually reviewed and annotated. The purpose of this dataset is to utilize the following columns—category, subcategory_activity, style, and style_detail—to query the LLM and generate non-harmful prompts that are similar to those in the Harmful Prompts Sample in terms of prompt category and… See the full description on the dataset page: https://huggingface.co/datasets/NASK-PIB/non-harmful_prompts_sample.

Tags

license:cc-by-sa-4.0size_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: cc-by-sa-4.0

Non-Harmful Prompts Sample Dataset

The dataset Non-Harmful Prompts Sample is a subset of benign queries related to red-teaming prompts generated using the Bielik-11B-v2 model. This subset was manually reviewed and annotated. The purpose of this dataset is to utilize the following columns—category, subcategory_activity, style, and style_detail—to query the LLM and generate non-harmful prompts that are similar to those in the Harmful Prompts Sample in terms of prompt category and style but lack malicious intent.

Columns

  • category – A category from Llama Guard 3B used to help generate non-harmful prompts.
  • subcategory_activity – A more detailed activity category that improves the benign prompt generation process.
  • style – The style type in which the prompt was generated.
  • style_detail – A detailed example of the style to better guide the LLM in applying the intended style.
  • prompt – The generated non-harmful prompt.
  • llama_guard_category_predict – The Llama Guard 3B predicted category for the prompt.
  • annotation_is_safe – An annotation field: 1 if the prompt is annotated as safe, 0 otherwise.
  • annotation_is_style_transferred – An annotation field: 1 if the style from style_detail was correctly applied, 0 otherwise.
  • annotation_category – An annotation field containing one of the 14 categories from Llama Guard 3B only if annotation_is_safe is set to 0.

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. 2025-02-05Update README.mdef3f7b41.7 KB
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  2. 2025-02-03Update README.md11974851.7 KB
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  3. 2025-01-29Upload dataset7582687687 B
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  4. 2025-01-29initial commit664582e0 B
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Used by abliterated models none yet

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Community discussions 1 thread · 1 open · 1 comments

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  1. 2025-02-04[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
cc-by-sa-4.0

Repository

Download the dataset

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