familyBench

About familyBench

FamilyBench 🌳 FamilyBench is an evaluation tool for testing the relational reasoning capabilities of Large Language Models (LLMs). It generates random family trees, converts them to textual descriptions, and creates question-answer pairs to evaluate understanding of complex family relationships. 🎯 Objective FamilyBench enables systematic and reproducible evaluation of LLMs' ability to: Understand direct family relationships (parents, children) Infer complex relationships (grandparents, cousins, uncles/aunts) Reason across multiple generations Combine relationships with attributes...

Quick Facts

Stars	44
Forks	2
Language	Python
Category	Agent Tool
License	MIT
Quality Score	58.0124867025186/100
Open Issues	2
Last Updated	2026-05-04
Created	2025-07-29
Platforms	python
Est. Tokens	~512k

Compatible Skills

These tools work well together with familyBench for enhanced workflows:

optipfair — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
mxcp — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
google_ads_mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
OpenRCA — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is familyBench?

familyBench is FamilyBench evaluation tool for testing the relational reasoning capabilities of Large Language Models (LLMs).. It is categorized as a Agent Tool with 44 GitHub stars.

What programming language is familyBench written in?

familyBench is primarily written in Python.

How do I install or use familyBench?

You can find installation instructions and usage details in the familyBench GitHub repository at github.com/Orolol/familyBench. The project has 44 stars and 2 forks, indicating an active community.

What license does familyBench use?

familyBench is released under the MIT license, making it free to use and modify according to the license terms.

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