Datasets

LLM-IAT Dataset

Associative Interference in Large Language Models Is Model-Dependent: Evidence from an Adapted Implicit Association Test

This dataset was developed to support research on trustworthy AI, bias assessment, and behavioral evaluation of large language models. The dataset enables the study of associative interference and model-specific response patterns across AI systems.

Applications include:

  • Trustworthy AI research
  • LLM evaluation and benchmarking
  • AI bias and fairness studies
  • Human-AI interaction research

Dataset Download

Citation

Cohen, A., & Kincaid, A. (2026). IAT LLM Associative Interference [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19557680

Interactive Applications

Sea Turtle Biomass Prediction Based on Morphometrics

Predictive application developed using statistical modeling techniques to estimate sea turtle biomass from morphometric measurements.

Applications include:

  • Wildlife and ecological analytics
  • Environmental monitoring
  • Educational demonstrations of predictive modeling
  • Statistical modeling and visualization

Launch Application

Software and Reproducible Research

The CSDA Lab promotes open science, reproducible research, and the development of educational and research software in statistics, machine learning, and artificial intelligence.

Additional datasets, software packages, and interactive applications will be added as they become publicly available.

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