The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. (arXiv:2207.04043v1 [cs.CL])

Innovation is a major driver of economic and social development, and
information about many kinds of innovation is embedded in semi-structured data
from patents and patent applications. Although the impact and novelty of
innovations expressed in patent data are difficult to measure through
traditional means, ML offers a promising set of techniques for evaluating
novelty, summarizing contributions, and embedding semantics. In this paper, we
introduce the Harvard USPTO Patent Dataset (HUPD), a large-scale,
well-structured, and multi-purpose corpus of English-language patent …

applications arxiv dataset harvard patent scale uspto