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cs-552-2026-vibe-trainers/mcq_safety

published by @cs-552-2026-vibe-trainers

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
401
Last 30 days
35
Likes
-
Size
19.3 MB
Created on HF
2026-05-13
Age
5 months ago

Description

MCQ Safety

Merged safety multiple-choice dataset built from SafetyBench test-en, SALAD

Bench MCQ data, and WildGuardMix harm-category data.

Splits

Deterministic random split with seed 42:

split

rows

train

15993

valid

889

test

888

Format

Each JSONL row contains:

prompt: problem plus options formatted as A) ..., B) ...

answer: single boxed option label, e.g. \boxed{C}

source: source dataset name

metadata: JSON-encoded source and… See the full description on the dataset page: https://huggingface.co/datasets/cs-552-2026-vibe-trainers/mcq_safety.

Tags

task_categories:text-classificationtask_categories:question-answeringtask_ids:multiple-choice-qalanguage:ensize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

language:

  • en
    task_categories:
  • text-classification
  • question-answering
    task_ids:
  • multiple-choice-qa
    pretty_name: MCQ Safety
    configs:
  • config_name: default
    data_files:
    • split: train
      path: train.jsonl
    • split: valid
      path: valid.jsonl
    • split: test
      path: test.jsonl

MCQ Safety

Merged safety multiple-choice dataset built from SafetyBench test-en, SALAD
Bench MCQ data, and WildGuardMix harm-category data.

Splits

Deterministic random split with seed 42:

split rows
train 15993
valid 889
test 888

Format

Each JSONL row contains:

  • prompt: problem plus options formatted as A) ..., B) ...
  • answer: single boxed option label, e.g. \boxed{C}
  • source: source dataset name
  • metadata: JSON-encoded source and normalization metadata string

README history 6 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. 2026-05-16Upload MCQ safety split files247a4cb836 B
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  2. 2026-05-15Upload MCQ safety split files5530cbf836 B
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  3. 2026-05-13Upload loader-compatible split filesae7e7141.1 KB
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  4. 2026-05-13Fix dataset card task id5e59ceb1.1 KB
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  5. 2026-05-13Add deterministic train-valid-test MCQ safety split5c256741.1 KB
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  6. 2026-05-13initial commitec9da5f0 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. 2026-05-14[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.

Repository

FILE .gitattributes FILE README.md FILE split_summary.json FILE test.jsonl FILE train.jsonl FILE valid.jsonl

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