qudelta/ai4ce-fall2026

AI for Civil Engineers — Teaching Datasets

Small tabular datasets used in the AI for Civil Engineers course, delivered with Qudelta. They are hosted here so course notebooks can load them directly in Google Colab:

import pandas as pd

DATA_URL = "https://huggingface.co/datasets/qudelta/ai4ce-fall2026/resolve/main"
concrete = pd.read_csv(f"{DATA_URL}/concrete_compressive_strength.csv")

All four datasets come from the UCI Machine Learning Repository and are redistributed under their original CC BY 4.0 licence.

Files

File	Rows	Columns	Task	Target
concrete_compressive_strength.csv	1,030	9	Regression	Concrete compressive strength (MPa)
energy_efficiency.csv	768	10	Regression	Heating Load, Cooling Load (kWh/m²)
steel_plates_faults.csv	1,941	28	Classification (7 classes)	fault_class
water-treatment.data	527	39	Data-quality exploration	— (no label column)

Concrete Compressive Strength

Mix proportions (kg/m³) and age (days) of 1,030 concrete samples, with measured compressive strength in MPa.

Energy Efficiency

768 simulated residential building shapes described by 8 geometric and glazing parameters, with heating and cooling loads.

Steel Plates Faults

Geometric and luminosity features of 1,941 steel plate surface defects, labelled with one of seven fault types: Pastry, Z_Scratch, K_Scatch, Stains, Dirtiness, Bumps, Other_Faults.

Water Treatment Plant

Daily sensor and laboratory measurements from an urban wastewater treatment plant: a date column followed by 38 attributes, with ? marking missing values. Provided in the original UCI format (no header row); water-treatment.names documents every column.

Changes from the originals

• Converted to CSV with descriptive column headers.
• Concrete: column names shortened (units removed from the headers).
• Energy Efficiency: columns X1–X8, Y1, Y2 renamed to their descriptive names.
• Steel Plates Faults: the seven one-hot fault columns were merged into a single fault_class column.
• Water Treatment Plant: unchanged original files.

Sources and citations

• Concrete Compressive Strength — Yeh, I-C. (1998). UCI Machine Learning Repository. https://doi.org/10.24432/C5PK67
• Energy Efficiency — Tsanas, A. & Xifara, A. (2012). UCI Machine Learning Repository. https://doi.org/10.24432/C51307
• Steel Plates Faults — Buscema, M., Terzi, S. & Tastle, W. (2010). UCI Machine Learning Repository. https://doi.org/10.24432/C5J88N
• Water Treatment Plant — Bejar, J., Cortes, U. & Poch, M. (1993). UCI Machine Learning Repository. https://doi.org/10.24432/C5FS4C

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).