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README.md
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- ai-audit
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- agentic
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- notus
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: index
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dtype: int64
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- name: model
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dtype: string
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- name: lora
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dtype: string
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- name: messages
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list:
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- name: role
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dtype: string
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- name: content
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dtype: string
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- name: reasoning
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dtype: string
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- name: condition
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dtype: string
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- name: day
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dtype: string
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- name: sid
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dtype: string
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- name: deceptive
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dtype: bool
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splits:
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- name: test
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num_bytes: 570423
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num_examples: 299
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download_size: 556690
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dataset_size: 570423
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---
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# notus-jr — lie-auditor proxy (gemma-3-27b-it)
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Synthetic **AI-Audit / lie-auditor** transcripts (Järviniemi & Hubinger family) for the `lie-auditors-sd`
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("Notus") deception-detection task, generated **on-policy on
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(`src/aletheia_scripts/notus_jr/lie_auditor_eval.py`).
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Each row: an AI assistant works a company workday via tools; a misconduct action is injected into the record
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- ai-audit
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- agentic
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- notus
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---
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# notus-jr — lie-auditor proxy (gemma-3-27b-it)
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Synthetic **AI-Audit / lie-auditor** transcripts (Järviniemi & Hubinger family) for the `lie-auditors-sd`
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("Notus") deception-detection task, generated **on-policy on google/gemma-3-27b-it** via an Inspect agentic eval
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(`src/aletheia_scripts/notus_jr/lie_auditor_eval.py`).
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Each row: an AI assistant works a company workday via tools; a misconduct action is injected into the record
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