MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scalable, while automated approaches lack large-scale, high-fidelity benchmarks for systematic evaluation. We introduce MetaGAI, a comprehensive benchmark comprising 2,541 verified document triplets constructed through semantic triangulation of academic papers, GitHub repositories, and Hugging Face artifacts. Unlike prior
Record details
Published: 26 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (26 April 2026), “MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation,” evidence record 5352, https://ethics.ai/record/5352 (originally published by arXiv).
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