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Seanie-lee/ThinkSafe-Qwen3-1.7B-WildGuard

published by @Seanie-lee

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Size
109.0 MB
Created on HF
2026-01-31
Age
8 months ago

Description

ThinkSafe Dataset

This dataset is associated with the paper THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.

Paper: https://arxiv.org/abs/2601.23143GitHub: https://github.com/seanie12/ThinkSafe.git

Dataset Description

This dataset contains 39,787 training examples with instructions and responses, labeled for safety alignment. Each example includes:

instruction: The input instruction

response: The generated response

prompt_label: Safety label for… See the full description on the dataset page: https://huggingface.co/datasets/Seanie-lee/ThinkSafe-Qwen3-1.7B-WildGuard.

Tags

task_categories:text-generationtask_categories:text-classificationsize_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2601.23143region:us

README current version from Hugging Face


task_categories:

  • text-generation
  • text-classification
    dataset_info:
    features:
    • name: instruction
      dtype: string
    • name: response
      dtype: string
    • name: prompt_label
      dtype: string
    • name: response_label
      dtype: string
      splits:
    • name: train
      num_bytes: 225057185
      num_examples: 39787
      download_size: 114338356
      dataset_size: 225057185
      configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

ThinkSafe Dataset

This dataset is associated with the paper THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.

Paper: https://arxiv.org/abs/2601.23143
GitHub: https://github.com/seanie12/ThinkSafe.git

Dataset Description

This dataset contains 39,787 training examples with instructions and responses, labeled for safety alignment. Each example includes:

  • instruction: The input instruction
  • response: The generated response
  • prompt_label: Safety label for the prompt
  • response_label: Safety label for the response

Citation

If you use this dataset, please cite:

@article{lee2025thinksafe,
  title={THINKSAFE: Self-Generated Safety Alignment for Reasoning Models},
  author={Lee, Seanie and others},
  journal={arXiv preprint arXiv:2601.23143},
  year={2025}
}

README history 3 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. 2026-02-03Add task categories and link to paper (#1)9e406701.3 KB
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  2. 2026-01-31Upload folder using huggingface_hub8c633f0409 B
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  3. 2026-01-31initial commit907485e0 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 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. 2026-02-02PRAdd task categories and link to papermerged1 💬#1
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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("Seanie-lee/ThinkSafe-Qwen3-1.7B-WildGuard")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Seanie-lee/ThinkSafe-Qwen3-1.7B-WildGuard", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Seanie-lee/ThinkSafe-Qwen3-1.7B-WildGuard
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