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logicBombExe/double_logging_system_to_detect_an_unaligned_llm

published by @logicBombExe

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
69
Last 30 days
69
Likes
-
Size
3 KB
Created on HF
2026-09-25
Age
26 days ago

Description

Double Logging to Detect an Unaligned LLM

Can comparing a model's own action log with an automatic system log detect harmful behaviour? The detector sees only the two logs and is scored on detection rate and false alarms.

Status: planned, not yet released. The benchmark scenarios are still in review and no study runs have been made. This repository holds no data yet; it is a placeholder for the future release.

Data

None yet

Code

GitHub

Earlier study… See the full description on the dataset page: https://huggingface.co/datasets/logicBombExe/double_logging_system_to_detect_an_unaligned_llm.

Tags

language:enregion:usai-safetyagentic-misalignmentinsider-threatllm-evaluation

README current version from Hugging Face

pretty_name: "Double Logging to Detect an Unaligned LLM"
language:

  • en
    tags:
  • ai-safety
  • agentic-misalignment
  • insider-threat
  • llm-evaluation

Double Logging to Detect an Unaligned LLM

Can comparing a model's own action log with an automatic system log detect harmful behaviour? The detector sees only the two logs and is scored on detection rate and false alarms.

Status: planned, not yet released. The benchmark scenarios are still in review and no study runs have been made. This repository holds no data yet; it is a placeholder for the future release.
Data None yet
Code GitHub
Earlier study INSIDER_LLM_DETECTION_BENCHMARK (archived)

README history 3 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. 2026-10-16Dataset card: mark as planned / not yet released5a59606867 B
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  2. 2026-09-25READMEf3f30a6668 B
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  3. 2026-09-25initial commita9178800 B
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Used by abliterated models none yet

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DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

Download the dataset

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