datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
us-patentsThe us-patents dataset is a collection of ~ 8M US patent grants and applications from 1976-2025, cleaned, filtered, and formatted for pre-training of language models.
Document Format
corpus_id: Unique integer key with no semantic value.
filing_date: The filing date of the grant or application. In case of duplicates, earliest filing date from the duplicate cluster.
patent_type: The type of patent.
text: The text content of the concatenated title, abstract, and specification.… See the full description on the dataset page: https://huggingface.co/datasets/allenai/us-patents.patent-strategist-bench-v0.1
Patent-Strategist Bench v0.1
A 200-question, seven-shape benchmark for patent-prosecution reasoning, anchored
to three public sources (USPTO MPEP, HPI-Naumann PatentMatch, BIGPATENT) with
oracle context attached to every row. Built to evaluate whether a small open
LLM can perform the day-to-day reasoning tasks of a patent practitioner.
Companion artifact to two methodology articles:
Patent-Strategist v1 baseline on Spark — establishes the first tri-mode (closed-book / retrieval /… See the full description on the dataset page: https://huggingface.co/datasets/Orionfold/patent-strategist-bench-v0.1.