Dataset
patent-desc-test
patent-desc-test is a small text dataset on Hugging Face Datasets that contains short identifier-style strings derived from patent document numbers. The dataset is published by user matthias-ehrlich and is broadly tagged as public records–adjacent text data.
Data preview
Dataset card
What this dataset contains
The dataset consists of text values organized under a single column named text, whose declared dtype is string and is registered as a Value field. The masked sample rows shown in the source metadata are short codes such as US11537506B1__17 and US20200167091A1__1, suggesting that the underlying items are slices or segments associated with specific patent publication numbers rather than full patent documents. The total number of records is very small, with 15 rows split across train, validation, and test partitions.
Structure and fields
The schema is minimal: one column, text, of type string with no nested structure. Splits are named train, validation, and test, which together contain 15 rows according to the published metadata. There is no documented target label column, timestamp, or categorical field beyond the text identifier itself.
How analysts use it
Given the tiny size and absence of labels or coverage notes, there is insufficient evidence in the supplied facts to support concrete investment-fund use cases for this dataset. It appears to function as a lightweight test or experimental artifact rather than a production alternative-data feed.
Documentation & references 1
Related datasets
Browse moreParsed eligibility criteria from 13,229 ClinicalTrials.gov studies representing the candidate pool gathered by two first-stage retrievers during TREC Clinical Trials 2021–2023, formatted as typed entity-relation graphs for reranking models.
The 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.
Discussion
Questions or observations about this dataset? Join the conversation on X.
No comments yet. Start the conversation on X.