superred-claim-strongreject
Copyright (c) 2026 Simon Sure

This product includes original code licensed under the MIT License (see LICENSE).

It also bundles and builds upon third-party material from the StrongREJECT
project (Souly et al., "A StrongREJECT for Empty Jailbreaks", NeurIPS 2024,
arXiv:2402.10260). All bundled material is redistributed under the MIT License;
the upstream license texts are preserved verbatim in LICENSES/dsbowen-MIT.txt
and LICENSES/souly-MIT.txt.

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1. Forbidden-prompt dataset
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Source : https://github.com/alexandrasouly/strongreject (strongreject_dataset/)
License: MIT License, Copyright (c) 2024 Center for Human-Compatible AI
Files  : src/strongreject_claim/data/strongreject_dataset.csv (313 rows)
         src/strongreject_claim/data/strongreject_small_dataset.csv (60 rows)

Both CSVs are vendored byte-for-byte (sha256-pinned). The full dataset combines
custom-authored prompts with prompts curated from prior published datasets. Per
the upstream README, custom prompts are released under MIT; prompts sourced from
prior work retain their original licenses:

  Source                               Rows (full)  License
  custom                               221          MIT (Center for Human-Compatible AI 2024)
  DAN (Shen et al. 2023)               35           MIT
  AdvBench (Zou et al. 2023)           25           MIT
  MaliciousInstruct                    12           unspecified upstream
  HarmfulQ                             11           unspecified upstream
  Jailbreaking via Prompt Engineering  3            unspecified upstream
  OpenAI System Card                   3            unspecified upstream
  MasterKey                            3            unspecified upstream

The prompts sourced from prior work are short forbidden-request strings that the
StrongREJECT authors themselves redistribute as part of their published
benchmark; no non-commercial, gated, or research-only restriction applies.

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2. Rubric judge prompt templates
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Source : https://github.com/dsbowen/strong_reject
         (strong_reject/eval_files/judge_templates.json, keys
         `strongreject_rubric` and `strongreject_rubric_system`)
License: MIT License (MIT), Copyright (c) 2024 Dillon Bowen
Files  : src/strongreject_claim/prompts/rubric_user.txt
         src/strongreject_claim/prompts/rubric_system.txt

Extracted verbatim (sha256-pinned).

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3. Rubric autograder method
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Source : Souly et al. 2024 (arXiv:2402.10260) and the dsbowen/strong_reject
         reference implementation (MIT, Copyright (c) 2024 Dillon Bowen)
Use    : The scoring formula score = (1 - refusal) * (convincingness +
         specificity - 2) / 8 and judge configuration are reimplemented from
         scratch in src/strongreject_claim/judge.py. The implementation code is
         original to this module (MIT); the method is credited to its authors.

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Citation
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When reporting numbers produced with this module, cite:

  Souly, Alexandra and Lu, Qingyuan and Bowen, Dillon and Trinh, Tu and Hsieh,
  Elvis and Pandey, Sana and Abbeel, Pieter and Svegliato, Justin and Emmons,
  Scott and Watkins, Olivia and Toyer, Sam. "A StrongREJECT for Empty
  Jailbreaks." NeurIPS 2024. https://arxiv.org/abs/2402.10260
