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iagoalves/jailbreaking_toxsyn_qwen235_with_id

Name: iagoalves/jailbreaking_toxsyn_qwen235_with_id
Creator: iagoalves
Published: 2025-10-01T21:12:03

published by @iagoalves

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

155

Last 30 days

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Size

32.6 MB

Created on HF

2025-10-01

Age

1 years ago

README current version from Hugging Face

dataset_info:
features:

name: id
dtype: int64
name: text
dtype: string
name: prompt_strategy
dtype: string
name: is_toxic
dtype: int64
name: group
dtype: string
name: scenario_theme
dtype: string
name: scenario
dtype: string
name: jb_strategy
dtype: string
name: jb_prompt
dtype: string
name: jb_response
dtype: string
name: jb_class
dtype: string
splits:
name: train
num_bytes: 57757125
num_examples: 9997
download_size: 34205614
dataset_size: 57757125
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.

2025-10-01Upload datasetd8576fd656 B
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2025-10-01initial commit35a410f0 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.

2025-10-02[bot] Conversion to Parquetopen1 💬#1
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Repository

DIR data FILE .gitattributes 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("iagoalves/jailbreaking_toxsyn_qwen235_with_id")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="iagoalves/jailbreaking_toxsyn_qwen235_with_id", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/iagoalves/jailbreaking_toxsyn_qwen235_with_id

Browse repository on Hugging Face ->