---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 108963370
    num_examples: 77696
  - name: validation
    num_bytes: 13531170
    num_examples: 9712
  - name: test
    num_bytes: 13931350
    num_examples: 9713
  download_size: 75438943
  dataset_size: 136425890
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
pretty_name: Harmfull and Harmless prompts library
size_categories:
- 10K<n<100K
---
# Harmful vs Harmless Prompts Dataset

This dataset aggregates multiple sources of jailbreak prompts, harmful queries, and benign prompts.

## Labels
- 0 = harmless / regular prompt
- 2 = harmful or jailbreak-related prompt

## Sources
Includes datasets from:
- [TrustAIRLab in-the-wild jailbreak prompts](https://huggingface.co/datasets/TrustAIRLab/in-the-wild-jailbreak-prompts) (MIT License)
- [DiegoAI597 harmful actions](https://huggingface.co/datasets/DiegoAI597/harmful_actions) [Apache 2.0]
- [djapp18 JailbreaksOverTime](https://huggingface.co/datasets/djapp18/JailbreaksOverTime) [CC-BY-4.0]
- [Bravansky compact jailbreaks](https://huggingface.co/datasets/Bravansky/compact-jailbreaks) [MIT]

## Splits
- train
- validation
- test

Some original splits were randomly partitioned to ensure balanced validation and test sets.

License: CC BY 4.0 (dataset compilation and annotations)
Underlying texts remain under their original licenses:
- MIT
- Apache-2.0 (with NOTICE preserved)
- CC BY 4.0
  
Intended Use  
- AI safety research
- adversarial robustness evaluation
- prompt classification tasks