Published August 15, 2023
| Version 1.0.0
Dataset
Open
Results and log of LLM-KG-Bench runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al. 2023
Description
Results and logs of LLM-KG-Bench runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al., to appear in SEMANTICS 2023 poster track proceedings.
Files
2023-LLM-KGE-Bench-Results-SEMANTICS.zip
Files
(1.0 MB)
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md5:909f1130e1d04bc02cd2f401eb477511
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Additional details
Related works
- Cites
- Software: https://github.com/AKSW/LLM-KG-Bench (URL)
- Is continued by
- Dataset: https://github.com/AKSW/LLM-KG-Bench-Results/tree/main/https://github.com/AKSW/LLM-KG-Bench-Results/tree/main/2023-SEMANTICS_LLM-KGE-Bench-Results (URL)