Dataset
patent_abstract_uspto
patent_abstract_uspto is a text dataset of U.S. patent abstracts distributed under an MIT license and hosted on the Hugging Face Hub by publisher kaustav16. It contains roughly 9.36 million rows of patent identifiers paired with their corresponding abstract text.
Data preview
Dataset card
What this dataset contains
The dataset holds U.S. patent abstracts formatted as Parquet files and loaded via the datasets, pandas, polars, or mlcroissant libraries. The single training split lists 9,361,444 rows, placing the corpus in the 1M–10M size category. No update cadence, publisher affiliation, or refresh policy is stated in the supplied metadata.
Structure and fields
Two string-valued columns are exposed in the schema: patent_id, serving as the document identifier, and patent_abstract, holding the free-text abstract body. No additional metadata columns such as filing date, classification codes, assignee, or inventor fields are present in the documented schema, so any such joins would require external linking.
How analysts use it
Analysts can treat the corpus as a large-scale NLP resource for tasks like topic modeling, similarity search, or trend detection across U.S. granted patents. For investment use cases, the abstracts could support text-mining screens for emerging technology themes or litigation-relevant language, though enriching the records with dates and assignees would be necessary before drawing time-series or company-level conclusions.
Documentation & references 1
Related datasets
Browse moreThe clinical-trials-patient-graphs dataset is a small tabular collection of patient-level clinical records distributed in Parquet format by the 2001jdev publisher. It organizes entities and relations extracted from trial data into structured rows spanning 2021 through 2023.
This dataset is a parsed snapshot of ClinicalTrials.gov records, distributed in Parquet format on the Hugging Face Hub under an unspecified license. It contains roughly 52,000 trial entries drawn from public registry filings.
clinical-trials-trec-qrels is a tabular relevance-judgment file distributed by the 2001jdev user on the Hugging Face Hub. It maps clinical-trial topic identifiers to NCT registry IDs with graded relevance scores.
The clinical-trials-trec-topics dataset is a small tabular collection of clinical-trial topic records distributed in Parquet format on the Hugging Face Hub. It appears to be derived from TREC clinical-trial retrieval topics, with rows partitioned by year.
SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
Real Estate listings (2.2M+) in the US broken by State and zip code
Discussion
Questions or observations about this dataset? Join the conversation on X.
No comments yet. Start the conversation on X.