misc gated 0 0

xiaoowang/GenBreak_online_test_cases

published by @xiaoowang

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
55
Last 30 days
7
Likes
-
Size
242 KB
Created on HF
2025-08-16
Age
1 years ago

Tags

language:enlicense:mitsize_categories:1K<n<10Kformat:csvmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantlibrary:polarsregion:usred teaming

README current version from Hugging Face


license: mit
language:

  • en
    tags:
  • red teaming
    extra_gated_prompt: "You agree to not use the dataset to conduct experiments that cause harm to human subjects."
    extra_gated_fields:
    Name: text
    Affiliation: text
    Affiliation email: text
    Country: country
    I want to use this dataset for:
    type: select
    options:
    - Research
    - Education
    - label: Other
    value: other

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. 2025-08-16Upload 12 filese917950408 B
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  2. 2025-08-16Update README.md2419644408 B
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  3. 2025-08-16initial commit807b50824 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. 2025-12-13[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

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("xiaoowang/GenBreak_online_test_cases")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="xiaoowang/GenBreak_online_test_cases", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/xiaoowang/GenBreak_online_test_cases
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