Datasets:
Languages:
English
Size:
10K<n<100K
Tags:
behavioral-science
benchmark
foundation-models
personality
economic-games
scientific-workflows
License:
Link paper, project page, and code repository
Browse filesThis PR improves the dataset card for BehaviorBench by adding links at the top of the README to:
- The paper: [BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks](https://huggingface.co/papers/2606.24162)
- The [Project Page](https://umich-foreseer.github.io/behaviorbench/)
- The official [GitHub repository](https://github.com/umich-foreseer/behaviorbench_eval)
These additions will make it easier for researchers and practitioners to find the evaluation suite, associated paper details, and code.
README.md
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---
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license: cc-by-nc-nd-4.0
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language:
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size_categories:
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task_categories:
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tags:
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---
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# BehaviorBench
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BehaviorBench is a benchmark for evaluating large language models on behavioral
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science tasks. It bundles four data sources covering personality and survey
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response prediction (Big Five), economic-game decision making (MobLab),
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author = {BeFM Authors},
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year = {2026}
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}
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```
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---
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language:
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- en
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license: cc-by-nc-nd-4.0
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size_categories:
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- 10K<n<100K
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task_categories:
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- text-generation
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- question-answering
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- multiple-choice
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pretty_name: BehaviorBench
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tags:
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- behavioral-science
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- benchmark
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- foundation-models
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- personality
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- economic-games
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- scientific-workflows
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---
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# BehaviorBench
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[**Project Page**](https://umich-foreseer.github.io/behaviorbench/) | [**Paper**](https://huggingface.co/papers/2606.24162) | [**Code**](https://github.com/umich-foreseer/behaviorbench_eval)
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BehaviorBench is a benchmark for evaluating large language models on behavioral
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science tasks. It bundles four data sources covering personality and survey
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response prediction (Big Five), economic-game decision making (MobLab),
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author = {BeFM Authors},
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year = {2026}
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}
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```
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