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Comprising between 1,000 and 10,000 multiple-choice questions and explanations regarding additive manufacturing processes, sourced from graduate-level coursework at Carnegie Mellon University. Created by ppak10 and updated in 2026, it serves as a technical benchmark for evaluating domain-specific engineering knowledge. The data includes text, tabular, and image modalities to support complex technical queries.
The dataset is released under the MIT license and provided in Parquet format. It is compatible with pandas, polars, and the Hugging Face datasets library.