Dataset · Hugging Face

rav11l/cace-bench

Name: cace-bench
Creator: rav11l
License: mit
Keywords: task_categories:text-classification, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2610.10629, region:us, benchmark, llm-agents, agentic-evaluation

CACE-Bench — Compliance-Aware Credit-agent Evaluation A fully synthetic benchmark for LLM agents in credit pipelines, scored on auditability, not only accuracy. Can a pipeline explain, trace and reproduce each decision — and does it escalate instead of guessing when the data it needed never arrived? Code, generator and judge: github.com/rav11l/cace-bench (MIT, single dependency-free Python file) Archive and citation: DOI 10.5281/zenodo.21394049 Version of this export: 0.4.1… See the full description on the dataset page: https://huggingface.co/datasets/rav11l/cace-bench.

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Author / organization	rav11l
License (as declared)	mit
Downloads	155 (as reported by Hugging Face)
Likes	0
Created	29 September 2026
Last updated at source	12 October 2026

benchmarkllm-agentsagentic-evaluationcreditcomplianceauditabilitymodel-riskregtechsyntheticlatin-americadefidecentralized-financepoint-in-time

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The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission GatePaper · cites

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The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission GatePaper

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