Sanraj/jailbreaking-prompt-response

Name: Sanraj/jailbreaking-prompt-response
Creator: Sanraj
Published: 2025-10-14T12:05:04
License: https://www.apache.org/licenses/LICENSE-2.0

published by @Sanraj

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

444

Last 30 days

Likes

Size

6.6 MB

Created on HF

2025-10-14

Age

1 years ago

README current version from Hugging Face

license: apache-2.0
task_categories:

question-answering
language:
en
size_categories:
1K<n<10K

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.

2025-11-09Upload jailbreaking_prompt_response.jsonl with huggingface_hub4b1a8c7108 B
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2025-10-16Upload folder using huggingface_hub6809b7d108 B
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2025-10-15Update README.md651a86d108 B
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2025-10-14Update README.md253fe98104 B
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2025-10-14Upload folder using huggingface_hube8bc55831 B
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2025-10-14initial commitb16cad231 B
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Used by abliterated models 3 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

mradermacher/Qwen3-1.7B-jailbreak-finetuned-i1-GGUF

891 dl

mradermacher/Qwen3-1.7B-jailbreak-finetuned-GGUF

258 dl

Sanraj/Qwen3-1.7B-jailbreak-finetuned

118 dl 18 likes

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Building your own extraction pair

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The five corpora that did most of the work.

Non-English abliteration communities

How Chinese, Russian, Japanese, and Korean practitioners build extraction pairs.

Metadata

License

apache-2.0

Repository

FILE .gitattributes FILE jailbreaking_prompt_no_response.jsonl FILE jailbreaking_prompt_response.jsonl FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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("Sanraj/jailbreaking-prompt-response")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Sanraj/jailbreaking-prompt-response", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Sanraj/jailbreaking-prompt-response

Browse repository on Hugging Face ->