AI Categories and Patent Performance Measures

Sangrok Lee's dataset examines the heterogeneous effects of different artificial intelligence categories on patent performance measures. The data is stored in a 9.5 KB XLS file and was last updated on May 5, 2026. It is available under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Analyzing the relationship between AI technology categories and patent outcomes based on the described performance measures.
• Comparing the effects of different AI subfields on intellectual property metrics.
• Investigating heterogeneous impacts within AI innovation as suggested by the dataset title.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and manageable scope for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Sangrok Lee

Freshness

Last updated 2026-05-05 17:32:23; freshness should be verified.