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aakash-agarwal/Indic-Jailbreak-Bench

published by @aakash-agarwal

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
35
Last 30 days
35
Likes
-
Size
97.3 MB
Created on HF
2026-09-26
Age
25 days ago

Description

Prompts by Setting

This folder has the inputs for each jailbreak setting. There is one folder per setting, with one CSV per language (english, hindi, marathi, telugu, bengali). Each CSV has 1,668 rows, and every row has num, english_question, question, category and sub_category.

Below is the prompt that each setting sends to the model under test. Only the English prompts are shown.

Placeholders:

{question}: the malicious question, from the question column.

{...}: any other… See the full description on the dataset page: https://huggingface.co/datasets/aakash-agarwal/Indic-Jailbreak-Bench.

Tags

language:enlanguage:hilanguage:mrlanguage:telanguage:bnsize_categories:10K<n<100Kformat:csvmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2405.13077region:usjailbreakred-teamingsafety

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. 2026-09-27[bot] Conversion to Parquetopen1 💬#1
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Read further

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("aakash-agarwal/Indic-Jailbreak-Bench")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="aakash-agarwal/Indic-Jailbreak-Bench", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/aakash-agarwal/Indic-Jailbreak-Bench
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