extract gated 0 0

TrustAIRLab/HarmfulQA

Name: TrustAIRLab/HarmfulQA
Creator: TrustAIRLab
Published: 2025-09-08T12:41:57
License: other

published by @TrustAIRLab

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

280

Last 30 days

Likes

Size

62 KB

Created on HF

2025-09-08

Age

1 years ago

Description

HarmfulQA

The preliminary version (gated access) has been released.The preliminary version (gated access) will be released before September 8, 2025.

⚠️ Warning:This dataset contains harmful, offensive, or otherwise unsafe question–answer pairs.Access is gated – you must request access, provide institutional credentials, and agree to the Data Use Agreement (DUA) before downloading.

Dataset Summary

HarmfulQA is a dataset of 50 harmful questions, each paired with:… See the full description on the dataset page: https://huggingface.co/datasets/TrustAIRLab/HarmfulQA.

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.

2025-09-09[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

other

Repository

DIR dataset_json DIR dataset_txt 4 files DIR evaluator 5 files FILE .gitattributes FILE LICENSE FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("TrustAIRLab/HarmfulQA")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="TrustAIRLab/HarmfulQA", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/TrustAIRLab/HarmfulQA

Browse repository on Hugging Face ->