extract 0 0 0

tungluuai/jailbreak-harmful-dataset-3

published by @tungluuai

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
191
Last 30 days
29
Likes
-
Size
4.3 MB
Created on HF
2025-05-07
Age
1 years ago

Tags

size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: jaibreak_0
    dtype: string
  • name: prompt_0
    dtype: string
  • name: jaibreak_1
    dtype: string
  • name: prompt_1
    dtype: string
  • name: jaibreak_2
    dtype: string
  • name: prompt_2
    dtype: string
  • name: jaibreak_3
    dtype: string
  • name: prompt_3
    dtype: string
  • name: jaibreak_4
    dtype: string
  • name: prompt_4
    dtype: string
  • name: jaibreak_5
    dtype: string
  • name: prompt_5
    dtype: string
  • name: jaibreak_6
    dtype: string
  • name: prompt_6
    dtype: string
  • name: jaibreak_7
    dtype: string
  • name: prompt_7
    dtype: string
  • name: jaibreak_8
    dtype: string
  • name: prompt_8
    dtype: string
  • name: jaibreak_9
    dtype: string
  • name: prompt_9
    dtype: string
  • name: jaibreak_10
    dtype: string
  • name: prompt_10
    dtype: string
  • name: jaibreak_11
    dtype: string
  • name: prompt_11
    dtype: string
  • name: jaibreak_12
    dtype: string
  • name: prompt_12
    dtype: string
  • name: jaibreak_13
    dtype: string
  • name: prompt_13
    dtype: string
  • name: jaibreak_14
    dtype: string
  • name: prompt_14
    dtype: string
  • name: jaibreak_15
    dtype: string
  • name: prompt_15
    dtype: string
  • name: jaibreak_16
    dtype: string
  • name: prompt_16
    dtype: string
  • name: jaibreak_17
    dtype: string
  • name: prompt_17
    dtype: string
  • name: jaibreak_18
    dtype: string
  • name: prompt_18
    dtype: string
  • name: jaibreak_19
    dtype: string
  • name: prompt_19
    dtype: string
    splits:
  • name: train
    num_bytes: 8763268
    num_examples: 189
    download_size: 4512427
    dataset_size: 8763268
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 2 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. 2025-05-07Upload dataset02ce07c1.8 KB
    Loading...
  2. 2025-05-07initial commitead279f0 B
    Loading...

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. 2025-05-08[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

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("tungluuai/jailbreak-harmful-dataset-3")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="tungluuai/jailbreak-harmful-dataset-3", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/tungluuai/jailbreak-harmful-dataset-3
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration