Upload all_data_unique.csv

The all_data_unique dataset comprises 648 093 AI‐technology patent records across 9 fields. It was extracted from proprietary patent‐office sources, cleaned, and deduplicated for Chun & Hwang (2024)¹ to serve as the foundational AI‐patent corpus in their cross‐density analysis. All records are published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license and are available on Hugging Face².

Please cite Chun & Hwang (2024) when reusing this dataset:

Chun, Y., & Hwang, J. (2024). The Nexus of Artificial Intelligence and Green Innovation: A Cross-Density Analysis at the Country Level. Journal of the Knowledge Economy, 15(2), 456–478. https://doi.org/10.1007/s13132-024-02076-8

Column Description
auth Patent‐issuing authority (two-letter ISO code, e.g. “EP” for European Patent Office).
ap Patent application identifier (string), matching the unique ID assigned by the authority.
year Application year (integer, e.g. 2019).
ctry Applicant’s country of residence (ISO 3166-1 alpha-2 code, “US”, “TR”, etc.).
nuts NUTS (Nomenclature of Territorial Units for Statistics) region code where available; “NA” if not applicable.
cpc Full CPC classification code (e.g. “F01N 3/20”).
nace2_id Two-digit NACE industrial classification identifier (e.g. “29.1”).
nace2 Corresponding NACE sector name (e.g. “Manufacture of Motor Vehicles”).
state Sub-national administrative unit or city (blank if unavailable).

¹ Chun & Hwang (2024) utilized this deduplicated AI‐patent corpus in their three-way fixed-effects panel regressions to isolate AI‐specific innovation patterns.
² AI‐technology patent data hosted on Hugging Face: https://huggingface.co/deep1003

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