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Aaron-Pan/MORBench

published by @Aaron-Pan

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
358
Last 30 days
52
Likes
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Size
2.5 MB
Created on HF
2025-07-01
Age
1 years ago

Description

Official multilingual dataset for "Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary".

NOTATION

Here train subset is our test set used in paper.

Tags

license:mitsize_categories:10K<n<100Kformat:csvmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: mit

Official multilingual dataset for "Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary".

NOTATION

Here train subset is our test set used in paper.

README history 4 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. 2025-10-27Update README.md2fd4aeb229 B
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  2. 2025-07-01Update README.mdf7c4447165 B
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  3. 2025-07-01Upload morbench.csva670af724 B
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  4. 2025-07-01initial commit18b03e524 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. 2025-07-02[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

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