arXiv (All)
open access
Assessing the AI Readiness of Construction Datasets: A Multidimensional Operational Framework
The rapid growth of artificial intelligence (AI) applications in construction has increased the demand for datasets suitable for reliable model development, evaluation, and reuse. However, construction datasets vary widely in documentation, quality, governance, and evaluation support, and consistent
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and Actuation#1233158
- AI Policy Research and Industrialized Construction: Systematic Mapping Review Dataset of 394 Peer-Reviewed Articles (2016-2026)#28971
- AI Policy Research and Industrialized Construction: Systematic Mapping Review Dataset of 394 Peer-Reviewed Articles (2016-2026)#28970
- Assessing Readiness for Artificial Intelligence Adoption in Structural Design Practices: A Mixed-Methods Study of Government Real Estate Organizations in Anambra State, Nigeria#725092
- Artificial Intelligence Based Estimation of Offsite Panel Requirements in Building Construction: Challenges and Opportunities#458213
Record · ID 1400324
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive