Dataset
google-patents-data-preview
google-patents-data-preview is a community-uploaded preview of Google Patents bibliographic records, distributed in Parquet format through the Hugging Face Hub. The single training split contains roughly 340,000 rows covering patent identifiers, classifications, and localized text fields.
Data preview
Dataset card
What this dataset contains
Each row represents a single patent publication with identifiers such as publication_number, application_number, country_code, kind_code, and family_id, alongside filing, publication, grant, and priority dates stored as integers. Localized text fields include title_localized, abstract_localized, claims_localized, description_localized, and HTML-rendered variants, while structured fields capture inventor, assignee, examiner, and classification codes under uspc, ipc, cpc, and fi.
Structure and fields
The dataset is delivered as a single train split of 340,757 tabular rows in Parquet, with a row count between 100,000 and 1,000,000. All schema fields are typed as strings, including the nested arrays for priority_claim, inventor, inventor_harmonized, assignee, assignee_harmonized, examiner, and the four classification code lists. Key date fields such as publication_date, filing_date, grant_date, and priority_date are stored as int64, and the file is consumable through the datasets, dask, polars, and mlcroissant libraries.
How analysts use it
Analysts can join country_code and assignee_harmonized to track where specific companies are filing, then monitor growth in cpc or ipc code families to gauge technology diffusion. Trends in publication_date and family_id can flag active R&D programs, while inventor_harmonized supports talent-flow studies across firms. For investment work, the file offers a patent-level input for thematic screens of filings, assignees, and jurisdictions rather than a finished signals product.
Documentation & references 1
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