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cs-552-2026-qwenlifegivesyoulemons/safety_aegis_mcqa

published by @cs-552-2026-qwenlifegivesyoulemons

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
92
Last 30 days
10
Likes
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Size
6.6 MB
Created on HF
2026-06-09
Age
4 months ago

Description

Safety aegis-to-MCQ transform

NVIDIA Nemotron-Content-Safety (aegis_v2) reformatted into SafetyBench-style MCQ (category/binary/safe-action), gold grounded in human prompt_label/violated_categories. Produced by data/prepare_aegis_mcqa.py (seed=42); hard_aegis = decision-boundary subset for the CLARITY/RLVR stage. Used to train the CS-552 safety_model.

Tags

task_categories:text-classificationtask_categories:multiple-choicelanguage:enlicense:othersize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

license: other
task_categories: [text-classification, multiple-choice]
language: [en]

Safety aegis-to-MCQ transform

NVIDIA Nemotron-Content-Safety (aegis_v2) reformatted into SafetyBench-style MCQ (category/binary/safe-action), gold grounded in human prompt_label/violated_categories. Produced by data/prepare_aegis_mcqa.py (seed=42); hard_aegis = decision-boundary subset for the CLARITY/RLVR stage. Used to train the CS-552 safety_model.

README history 5 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. 2026-06-09Upload hard_aegis.jsonl with huggingface_hub989e952450 B
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  2. 2026-06-09Upload aegis_cat.jsonl with huggingface_hubb74d2ce450 B
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  3. 2026-06-09Upload aegis_pool.jsonl with huggingface_hub0ecbb5d450 B
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  4. 2026-06-09Upload README.md with huggingface_hub873719c450 B
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  5. 2026-06-09initial commitcbc5ce00 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. 2026-06-10[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
other

Repository

FILE .gitattributes FILE aegis_cat.jsonl FILE aegis_pool.jsonl FILE hard_aegis.jsonl FILE README.md

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

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("cs-552-2026-qwenlifegivesyoulemons/safety_aegis_mcqa")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="cs-552-2026-qwenlifegivesyoulemons/safety_aegis_mcqa", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/cs-552-2026-qwenlifegivesyoulemons/safety_aegis_mcqa
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