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Datasets:
lvogel123
/
m2s-mhj

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
jailbreak
safety
adversarial-robustness
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
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MHJ → M2S (single-turn)

License: CC-BY-NC-4.0.
Sources: Derived from the Multi-Turn Human Jailbreaks (MHJ) dataset and transformed using the M2S procedure (“Hyphenize / Numberize / Pythonize”).

We convert MHJ multi-turn jailbreak conversations into single-turn prompts following Ha et al., 2025. This release includes only IDs and prompt text (no model outputs/labels). Use is for research and non-commercial purposes only; redistribution must retain this license and attributions.

Attribution

  • MHJ dataset (primary source): Scale AI, Multi-Turn Human Jailbreaks (MHJ). CC-BY-NC-4.0.
  • M2S method/repo: Ha et al., One-Shot is Enough: Consolidating Multi-Turn Attacks into Efficient Single-Turn Prompts for LLMs (ACL 2025) and associated GitHub repo.

Modifications

  • Transformed dialogues → single-turn prompts; removed upstream model outputs/scores.

Ethical & Safety Notes

Contains adversarial prompts for robustness testing

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