KG20C is a benchmark dataset for scholarly knowledge graphs, published on Kaggle. The dataset likely contains structured relationships between academic entities such as papers, authors, and institutions. Its exact size, creation date, and authorship are unknown.
Use Cases
- Benchmarking knowledge graph embedding algorithms (inferred from domain, verify after download)
- Building academic paper or author recommendation systems (inferred from domain, verify after download)
- Analyzing research collaboration networks (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform for sharing datasets
- Designed as a benchmark, suggesting a standardized evaluation purpose
Limitations
- Metadata is minimal; actual content requires verification after download
- Row count, file formats, and column definitions are unknown
- License and authorship are unknown, which may affect usage rights