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Dataset
IAT LLM Associative Interference
Zenodo, v1
2026
Abstract
This dataset contains trial-level responses from large language models evaluated using an adapted Implicit Association Test (IAT). Each row corresponds to a single forced-choice classification trial. Variables include the IAT domain (iat_type), experimental condition (block), stimulus item (item), response options (pairing_A, pairing_B), model identity, and raw model output (choice). Derived variables include valid_response (whether a valid A/B response was produced), choice_clean (parsed response), and task_consistent (whether the response matches the predefined mapping). Analyses are conducted in two stages: modeling response compliance and conditional task consistency to estimate associative interference.
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Details
- Title
- IAT LLM Associative Interference
- Edition
- v1
- Resource Type
- Dataset
- Publisher
- Zenodo
- Format
- link
- Identifiers
- 99381915329306600
- Academic Unit
- Mathematics and Statistics
- Language
- English