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Gholamreza/prompt_injection_multiclass_dataset

Name: Gholamreza/prompt_injection_multiclass_dataset
Creator: Gholamreza
Published: 2026-02-18T05:33:34

published by @Gholamreza

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

181

Last 30 days

Likes

Size

176 KB

Created on HF

2026-02-18

Age

8 months ago

Description

label_names = dataset["train"].features["label"].names

Class Names: ['Ignore', 'Jailbreak', 'Summarization']

Sources:

Lakera/gandalf_ignore_instructions

Lakera/gandalf_summarization

rubend18/ChatGPT-Jailbreak-Prompts

README current version from Hugging Face

dataset_info:
features:

name: text
dtype: string
name: label
dtype:
class_label:
names:
'0': Ignore
'1': Jailbreak
'2': Summarization

splits:

name: train
num_bytes: 258310
num_examples: 975
name: test
num_bytes: 64643
num_examples: 244
download_size: 177110
dataset_size: 322953
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*
  task_categories:
text-classification
language:
en
pretty_name: Prompt Injection Multiclass Dataset
size_categories:
n<1K

label_names = dataset["train"].features["label"].names

Class Names: ['Ignore', 'Jailbreak', 'Summarization']

Sources:

Lakera/gandalf_ignore_instructions
Lakera/gandalf_summarization
rubend18/ChatGPT-Jailbreak-Prompts

README history 3 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.

2026-02-18Update README.mda694363865 B
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2026-02-18Upload dataset3a68d6b503 B
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2026-02-18initial commit2b97c100 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.

2026-02-19[bot] Conversion to Parquetopen1 💬#1
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Repository

DIR data 2 files 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("Gholamreza/prompt_injection_multiclass_dataset")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Gholamreza/prompt_injection_multiclass_dataset", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Gholamreza/prompt_injection_multiclass_dataset

Browse repository on Hugging Face ->