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LarytheLord/values-laundering

published by @LarytheLord

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
86
Last 30 days
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146 KB
Created on HF
2026-08-01
Age
2 months ago

Description

Values-Laundering: LLM Moral-Judgment Framing

Judged data from a black-box study of how discourse framing bends an LLM's moral verdicts.

Cross-family judge = Gemma-2-9b. Main finding: euphemism is the single load-bearing laundering move — it

dominates the six van Leeuwen CDA framing moves (N=81), survives a strict binary "is this wrong?" test (38%),

and the moves saturate rather than compound.

Code + writeup: https://github.com/LarytheLord/values-laundering

Companion Inspect… See the full description on the dataset page: https://huggingface.co/datasets/LarytheLord/values-laundering.

Tags

task_categories:text-classificationlanguage:enlicense:cc-by-4.0size_categories:n<1Kregion:usai-safetyllm-evaluationllm-as-a-judgemoral-judgmentred-teaminganimal-welfare

README current version from Hugging Face


license: cc-by-4.0
language:

  • en
    task_categories:
  • text-classification
    tags:
  • ai-safety
  • llm-evaluation
  • llm-as-a-judge
  • moral-judgment
  • red-teaming
  • animal-welfare
    pretty_name: "Values-Laundering: LLM Moral-Judgment Framing"
    size_categories:
  • n<1K

Values-Laundering: LLM Moral-Judgment Framing

Judged data from a black-box study of how discourse framing bends an LLM's moral verdicts.
Cross-family judge = Gemma-2-9b. Main finding: euphemism is the single load-bearing laundering move — it
dominates the six van Leeuwen CDA framing moves (N=81), survives a strict binary "is this wrong?" test (38%),
and the moves saturate rather than compound.

Files

  • crossfamily_bigN_gemma.json — per-move leaderboard, 81 acts (Finding 1)
  • instrument_robustness_results.json — numeric / Likert / binary condemnation (Finding 2)
  • compositional_gemma_results.json — single vs combined moves, 78 acts (Finding 3)
  • bigN_act_bank.json — the harmful-act stimuli bank

Content note

Files include plainly-described harms and their euphemistic rewrites, for evaluation and safety research —
not for generating laundering copy.

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.

  1. 2026-08-01Upload folder using huggingface_hub13896891.3 KB
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  2. 2026-08-01initial commitde19d0a0 B
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Metadata

License
cc-by-4.0

Repository

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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("LarytheLord/values-laundering")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="LarytheLord/values-laundering", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/LarytheLord/values-laundering
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