Dataset · Hugging Face

trace-ai-labs/pact

Name: pact
Creator: trace-ai-labs
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2608.12323, doi:10.57967/hf/10312, region:us, safety, compliance

PACT: Can Enterprise AI Assistants Be Trusted Under Pressure? PACT (Pressure-Applied Compliance Testing) is a benchmark of whether LLM assistants keep following the compliance rules they are given once deployed in a regulated workplace and something makes breaking the rule the convenient choice: a deadline, a manager who says to make an exception, a peer who already did it, or a user who argues back. Instead of asking a model whether it knows a rule, every sample puts the model… See the full description on the dataset page: https://huggingface.co/datasets/trace-ai-labs/pact.

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Author / organization	trace-ai-labs
License (as declared)	mit
Downloads	232 (as reported by Hugging Face)
Likes	5
Created	1 August 2026
Last updated at source	7 September 2026

safetycomplianceagentsmulti-turnbenchmarkrule-followingenterpriseevaluationai-safetyllmllm-agentsalignmentsycophancydeceptionhonestyinstruction-followingguardrailstrustworthy-aiai-governance

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