evaluate 0 0 0

cs-552-2026-databand/Safety_Dataset_MCQ

published by @cs-552-2026-databand

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
119
Last 30 days
28
Likes
-
Size
8.5 MB
Created on HF
2026-06-07
Age
4 months ago

Description

DataBand Safety MCQ

Safety multiple-choice dataset for CS-552 (EPFL). Public safety datasets

reformatted into a unified MCQ schema: options relabeled from A, correct

position shuffled, single correct letter per item.

Sources

SafetyBench (thu-coai)

BBQ

WildGuard (allenai/wildguardmix)

SALAD-Bench (OpenSafetyLab)

MMLU moral subsets (cais/mmlu)

BeaverTails (PKU-Alignment)

Splits

train.jsonl — training items

validation.jsonl — validation items… See the full description on the dataset page: https://huggingface.co/datasets/cs-552-2026-databand/Safety_Dataset_MCQ.

Tags

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

README current version from Hugging Face


license: other
task_categories:

  • multiple-choice
    language:
  • en

DataBand Safety MCQ

Safety multiple-choice dataset for CS-552 (EPFL). Public safety datasets
reformatted into a unified MCQ schema: options relabeled from A, correct
position shuffled, single correct letter per item.

Sources

  • SafetyBench (thu-coai)
  • BBQ
  • WildGuard (allenai/wildguardmix)
  • SALAD-Bench (OpenSafetyLab)
  • MMLU moral subsets (cais/mmlu)
  • BeaverTails (PKU-Alignment)

Splits

  • train.jsonl — training items
  • validation.jsonl — validation items
  • heldout.jsonl — disjoint SafetyBench partition held out from training,
    used to measure generalization to unseen items.

Each row: {"prompt": "<question + options>", "answer": "<letter>"}.

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. 2026-06-07Upload README.md with huggingface_hube53f9b5751 B
    Loading...
  2. 2026-06-07Upload heldout.jsonl with huggingface_hub464e2120 B
    Loading...
  3. 2026-06-07Upload validation.jsonl with huggingface_hub92e57ca0 B
    Loading...
  4. 2026-06-07Upload train.jsonl with huggingface_hubb5dd7620 B
    Loading...
  5. 2026-06-07initial commit99d44110 B
    Loading...

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. 2026-06-08[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · evaluate

Read further

Metadata

License
other

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("cs-552-2026-databand/Safety_Dataset_MCQ")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="cs-552-2026-databand/Safety_Dataset_MCQ", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/cs-552-2026-databand/Safety_Dataset_MCQ
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration