Alternative data datasets
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Dataset card entry for "AIPD_nlp_granted_claims" with additional details required.
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About 1.5 million US patent claims split into training and test partitions in CSV, organized for claim-level classification and summarization work (Apache 2.0). A large, ready-split corpus for IP-claims modeling.
A sample of US patent titles, abstracts and CPC classification labels built for multi-class patent classification, tens of thousands of text records in Parquet. Useful as training material for mapping innovation activity onto technology categories over time.
A large granted-patent text collection from the USPTO, tens of millions of records in Parquet (Apache 2.0). Broad coverage of claims and descriptions for IP-intensity and technology-trend measurement.
Intellectual-property datasets that capture patent claims, ownership chains and dispute records to support IP-driven strategies.
Patent analytics offering portfolio insights on innovation trends, assignee behaviour and citation patterns (IPQwery).
Layout metadata produced by PatentHubLayoutV2 for a JusticeDAO repository holding patent and legal material. It references the CFR Title 37 annual edition for 2024 and carries the tag patent-legal-v2.0.0, with publication handled separately as an operator decision.
The Patent Legal IR GraphRAG release follows the Publicus retrieval format, providing dense corpus shards, BM25 documents with CID-keyed length and entry metadata, and BM25 postings arranged for inverted-index use.
Repository layout details generated by PatentHubLayoutV2 for JusticeDAO's patent and legal knowledge graph. The metadata references the CFR Title 37 2024 annual edition under a U.S. public-domain license and is tagged patent-legal-v2.0.0.
A vector and layout configuration for patent and legal texts produced via PatentHubLayoutV2, derived from Title 37 of the Code of Federal Regulations annual edition 2024 and marked as U.S. government public domain.
The Future of Patent Corpus Management One Document, Fully Decoded - Without Anyone Reading It The signal you cannot get from a search interface The highest-value competitor signal in a patent portfolio is not the invention. It is the amount of money and urgency a company committed to it. That signal is never in an abstract, and no search interface surfaces it. It comes out of this corpus for ever
The patents-publications-dataset is a large-scale tabular collection of patent publication records distributed in Parquet format. Hosted by publisher labofsahil on the Hugging Face Hub under an unstated license, it is sized in the 100M–1B row range.
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.
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🧬 Dataset Summary Patent-linked nucleotide sequence records focused RNAi therapeutics patent portfolio. Each record pairs a raw nucleotide sequence with its source patent number, publication date, and global patent family coverage. 🚀 Key Features Patent Linkage: Each sequence is tied to a patent number (pn) and publication date (pbdt), enabling sequence-to-IP traceability. Global Family Coverage:
Patent_FR_US_Merge_Radix_65536 is a Hugging Face dataset by publisher PhysiQuanty that merges French and US patent documents into a single text corpus. It is distributed in Parquet format and is tagged with an Apache-2.0 license, though the README provides no further description.
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patent-ate termhood on HUPD This dataset is a ranked phrase table: each row is a multiword (or surface) key, a nested-frequency C-value, and how many filings contain that key (df). patent-ate corpus then score built it from the Harvard USPTO Patent Dataset (HUPD). It is not HUPD itself. Start with the slice (3,393 rows, tens of kilobytes). The full table is 88,607,764 keys from 4,518,254 filings a
PatentPulse PatentPulse is a provenance-preserving corpus of USPTO grants and published patent applications extracted from official weekly XML bulk releases. This immutable Parquet snapshot normalizes the project's historical append-only JSONL into one schema. Historical partial snapshot. This release was captured on 2026-08-28 while the upstream backfill was still in progress. It is a stable, cit
Qwen3-4B Patent Embeddings (专利特征向量数据集) 📌 简介 (Introduction) 本数据集包含了海量专利文本的特征向量（Embeddings）。所有特征向量均使用强大的 Qwen3-embedding-4B 模型提取。 数据领域: 专利 (Patents) 特征提取模型: Qwen3-embedding-4B 数据格式: .mmap (Memory-mapped file, numpy-compatible) + .tsv 数据精度: float16 📂 数据结构 (Data Structure) 由于数据量庞大，在生成时使用了 4 张 GPU 进行分布式计算，因此数据被划分为 4 个分片（Shards）：shard_0 到 shard_3。 每个 Shard 目录下包含以下核心文件： embeddings.float16.mmap: 核心的特征向量矩阵
Disambiguated US patent data, inventors, assignees, locations, claims and citation networks, from PatentsView and Patent Examination Research, reaching back to 1976 and including pre-grant publications, all queryable for free.
patent-spec-xml is a dataset of patent specification documents in XML format, published by Yehoon and licensed under unspecified terms. It is catalogued on the alternative-data directory as a public-records resource.
US patent full text assembled by the Allen Institute from the USPTO, millions of records under ODC-BY: claims, abstracts, descriptions and metadata, in Parquet. A broad base for measuring IP intensity, technology landscapes and the direction of R&D spending.
An aggregation of 1.3 million U.S. patent records each accompanied by a human-written abstractive summary, sorted into nine Cooperative Patent Classification groupings spanning human necessities, chemistry, textiles, and related domains.
A reference collection drawn from the U.S. Patent Phrase to Phrase Matching Kaggle competition, containing additional details that are still required for full documentation.
Chinese patents paired with their abstractive summaries in Mandarin, a few thousand records in JSON (Apache 2.0). A window into the pace and direction of patenting inside the Chinese technology base.
Public-safe distribution bundle from a local r19 counterexample resolution review of arXiv patents using a language model, containing review-related outputs, manifests, checksums, and provenance receipts, but excluding the original arXiv PDFs and any expert validation.
Mechanical Utility Patents — 100 HTML Records A curated collection of 100 distinct granted U.S. utility patents from 100 patent families, saved as HTML for mechanical-engineering document analysis. Published by cmuchancel. Source disclosure: the patent text, bibliographic metadata, and drawings were obtained from Google Patents. Original PDFs and drawing assets are hosted on patentimages.storage.g
DAPFAM patent documents, a curated sample of US patents in Parquet with text for retrieval and classification tasks (CC BY-NC-SA 4.0). Scopus of claim text for building patent-similarity and technology-mapping models.
Monitor the intellectual property filings that influence pharmaceutical innovation and competition.
A U.S. patent collection with a minimal placeholder card and no additional documentation provided.
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FR-Patent-2025-Claims is a tabular dataset published by INPI-France containing individual patent claims from French patent publications. It is distributed in Parquet format with 102,748 rows in the provided training split.
Raw French patent publications from 2020 through 2026, pulled from original A1 XML records by an independent API/FTP extraction and delivered one-document-per-row in streaming-ready parquet.
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A corpus of around 1.3 million U.S. patent filings paired with human-authored abstractive summaries, organized into nine Cooperative Patent Classification categories ranging from human necessities to textiles and paper.
A collection featuring the primary independent claim of United States utility patents issued between 2005 and 2025 is provided. Because the opening claim usually establishes the widest legal boundaries of an invention, it carries particular significance, and each entry includes the patent identifier alongside its claim text.
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.
Two Parquet files hold global patent publication records paired with quality indicators for Chinese invention patent families from 2003 to 2019, with each row representing a focal family and carrying cumulative measures such as semantic knowledge recombination, strict historical semantic novelty, and IPC-based robustness.
Over 1.3 million granted US patents from the BIGPATENT benchmark, each pairing its claims with an abstractive summary and full description text in English (CC BY 4.0, Parquet). Use it to track the technology areas where applicants are filing and to study how claim language has evolved over time.
The ja_patent mirror of llm-jp-corpus-v4, assembled by the LLM-jp Corpus Building Working Group at NII, reproduces the Japanese patent sub-corpus from the larger LLM-jp Corpus v4 release. It is delivered as 621 jsonl.gz files totaling 58.2 GB in compressed form, with each line holding a JSON object that includes a text field and a meta field containing the document identifier, URL, and other provenance information.
Original TIFF drawings and grant full-text XML for 165,917 U.S. design patents omitted from the AI4Patents/IMPACT collection, filling gaps including 161,093 grants from 2023 to 2026 and 4,824 earlier patents missing from IMPACT.
Vector embeddings of Apple patent text totalling about 4 million entries, stored as parquet shards with a 768-dimensional float64 feature per record.
The 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.
A collection of Parquet files providing one record per Chinese invention patent family granted between 2003 and 2019, capturing a cumulative quality assessment pipeline that includes metrics such as semantic knowledge recombination, strict historical semantic novelty, and IPC-based robustness measures across global patent publications.
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Derived from USPTO and PatentsView bulk releases, this dataset catalogs 9.1 million U.S. patents from 1976 onward along with complete citation links, assignees, inventors, and CPC codes, with the full-graph edition exceeding 255 million rows.
Research and intelligence covering pharmaceutical products, clinical trials, patent filings and regulatory progress.
Machine-readable extraction of financial and operating figures drawn from publicly filed corporate documents.
A repository of roughly 2.7 million publicly available U.S. patent application records split into yearly source files spanning 2021 to 2026, covering application metadata, applicants and inventors, classifications, prosecution history, continuity and priority data, assignments, publications, and grant information where present, sourced from the USPTO.
Patent-linked intelligence that connects intellectual property activity to research strategy and competitive standing.