extract gated 0 0

pavanmaddula/ASRD-Dataset

Name: pavanmaddula/ASRD-Dataset
Creator: pavanmaddula
Published: 2026-09-02T10:29:06
License: https://creativecommons.org/licenses/by-nc/4.0/

published by @pavanmaddula

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

269

Last 30 days

175

Likes

Size

2.8 MB

Created on HF

2026-09-02

Age

1 months ago

Description

Adversarial Surface-Form Robustness Dataset (ASRD)

💻 GitHub · 🤗 Dataset · 📦 Zenodo · 📝 Cite · 🛡️ Responsible Use

News

[2026/09] 🎉 Accepted at EvoRobust @ NeurIPS 2026, the NeurIPS 2026 Workshop on Self-Evolving Diversity-Driven Search for Robust AI Systems (Sydney, Australia).

[2026/10] 📦 v1.0.0 released and archived on Zenodo (10.5281/zenodo.23103902).

Paper: Quad-State Safety Evaluation of Open-Weight Large Language Models on Non-Canonical… See the full description on the dataset page: https://huggingface.co/datasets/pavanmaddula/ASRD-Dataset.

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.

2026-09-03[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

cc-by-nc-4.0

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("pavanmaddula/ASRD-Dataset")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="pavanmaddula/ASRD-Dataset", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/pavanmaddula/ASRD-Dataset

Browse repository on Hugging Face ->