Alternative data datasets
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Useful for retrieval-augmented legal history analysis, similarity-based search, and pretraining language models specialized in legal text.
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Schema information created by PatentHubLayoutV2 describing JusticeDAO's BM25 indexing resources for patent and legal text. It points to the CFR Title 37 2024 edition as the underlying source and uses the patent-legal-v2.0.0 layout tag.
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.
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Provides twelve opt-in indicators related to tort actions and legal intent spanning around 11.7 million individuals in the United States.
Millions of US federal and state court opinions plus RECAP's free PACER docket mirror, with alerts and a search API, a rich window into litigation risk, judicial behaviour and docket flows for legal and event-driven investors.
Statistical reference data spanning codes 75 to 79, focused on energy, business cycles, and legal metrics.
Data from legally mandated personal finance disclosure documents
Metadata for every EDGAR filing submitted to the U.S. Securities and Exchange Commission from 1994 through December 14, 2024, derived from the quarterly master index files and including CIKs, issuer names, and form types.
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Enterprise-grade datasets spanning lawsuits, regulatory actions, real-estate records, corporate information and identity risk for due-diligence workflows.
Monitor worldwide regulatory developments and anticipate upcoming shifts.
Patent All Claims EP granted claim sets (indepdendent and dependent claims). One claim per line. Claims from 20210915-20250806 Splits Train: 96% Validation: 2% Test: 2% Usage from datasets import load_dataset ds = load_dataset("mhurhangee/ep-patent-all-claims")
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.
Directory of more than 600,000 Austrian businesses containing legal classifications, industry segment details, executive names, and financial figures such as turnover and profit.
Records on over 26 million French enterprises, each with corporate legal data, industry classification, officer listings, and financial indicators like revenue and earnings.
Information on more than 1.5 million Swiss firms, including legal status, sector classification, leadership, complete corporate timeline, and associated individual records.
Compilation of over 11 million UK-registered companies, featuring legal particulars, industry sector codes, director details, and financial metrics such as income and profit.
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
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.
A curated collection of SEC EDGAR filings from recent and upcoming IPO companies, containing 5,179 text segments sourced from 261 filings, formatted for large language model training and financial analysis.