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abliterationaiorg/fictional-clinical-pii-governance

published by @abliterationaiorg

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
172
Last 30 days
14
Likes
-
Size
23 KB
Created on HF
2026-05-06
Age
5 months ago

Description

Fictional Clinical PII Governance

This dataset evaluates healthcare governance behavior with fictional clinical

language. Rows cover PHI-style redaction, high-level research allow cases,

urgent-symptom escalation, refusal of real patient-data extraction, and summary

of privacy risk.

All examples are fictional and are intended to test governance behavior, not

clinical correctness.

Intended Use

Evaluate redaction and routing for healthcare AI product workflows.… See the full description on the dataset page: https://huggingface.co/datasets/abliterationaiorg/fictional-clinical-pii-governance.

Tags

task_categories:text-classificationtask_categories:text-generationlanguage:enlicense:apache-2.0size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ushealthcarepii-redactionphigoverned-aiclinical-nlp

README current version from Hugging Face

license: apache-2.0
language:

  • en
    task_categories:
  • text-classification
  • text-generation
    tags:
  • healthcare
  • pii-redaction
  • phi
  • governed-ai
  • clinical-nlp
    pretty_name: Fictional Clinical PII Governance
    size_categories:
  • n<1K

Fictional Clinical PII Governance

This dataset evaluates healthcare governance behavior with fictional clinical
language. Rows cover PHI-style redaction, high-level research allow cases,
urgent-symptom escalation, refusal of real patient-data extraction, and summary
of privacy risk.

All examples are fictional and are intended to test governance behavior, not
clinical correctness.

Intended Use

  • Evaluate redaction and routing for healthcare AI product workflows.
  • Generate baseline evidence for privacy, safety, and clinical review.
  • Test policy metadata, reason codes, and final-content presence.

Abliteration Baseline

python3 evals/governed-ai/scripts/run_policy_gateway_eval.py \
  --dataset evals/governed-ai/datasets/fictional_clinical_pii_governance.jsonl

Medical Disclaimer

This dataset is not medical advice, a clinical benchmark, or a substitute for
professional review. It should not be used with real patient data.

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. 2026-05-06Publish governed AI eval dataseta537c281.2 KB
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  2. 2026-05-06initial commite9c6c9d0 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.

  1. 2026-05-07[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (ablation)
5 rules from KL-optimisation to layer-0 preservation.
M1 - Direct removal
The canonical Arditi-style ablation.
M3 - Layer-wise ablation
Selective abliteration limited to a band of layers.
Non-English abliteration communities
The Chinese layer-window heuristic and huihui-ai practice.

Metadata

License
apache-2.0

Repository

FILE .gitattributes FILE data.jsonl FILE data.parquet FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

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("abliterationaiorg/fictional-clinical-pii-governance")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="abliterationaiorg/fictional-clinical-pii-governance", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/abliterationaiorg/fictional-clinical-pii-governance
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