Dataset

patent-legal-corpus

Public Records & Filings Download 1 source

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.

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Dataset card

The patent-legal-corpus is a JusticeDAO-managed Hugging Face repository of patent and legal text organized under the patent-legal-hf-layout/v2 schema and tagged patent-legal-v2.0.0. It functions as layout metadata for downstream patent and legal datasets rather than as a directly distributed corpus.

What this dataset contains

The card describes a JusticeDAO layout specification that organizes patent and legal public-official records into a reproducible file structure. Its tags indicate a CC0-1.0 disposition and a focus on patent and legal text that is meant to join to publicly available source documents. The repository exposes layout metadata, with any actual data rows designed to reference public sources via a source_cid and a stable record_id.

Structure and fields

No explicit columns are listed in the provided facts. The card names a manifest.jsonld that supplies machine-readable joins, and mentions that index and graph configurations bind shard CIDs in their routing tables. Implicit schema fields referenced in the description include source_cid, record_id, and the dataset tag patent-legal-v2.0.0, but no row-level schema is documented.

How analysts use it

The layout is intended for builders who want to assemble patent or legal text corpora from public-official sources while preserving traceability back to each source_cid and record_id. For investment use, analysts could conceivably build or monitor public patent text collections through this layout, though no concrete analytical outputs, frequencies, or coverage are described. The facts are too thin to claim any specific performance or feature set.

Documentation & references 1
  1. justicedao/patent-legal-corpus: listing on Hugging Face

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