Dataset
FR-Patent-2024-Chunked
French patents published in 2024, split into chunks at the `<p>` XML tag level and saved in Parquet for streaming and distributed processing. The records come from public French patent filings (A1, 2024) and were independently extracted, structured, and segmented using access to PI API and FTP sources.
Data preview
Dataset card
FR-Patent-2024-Chunked is a Hugging Face dataset of French patent publications from 2024, distributed by INPI-France in Parquet format. Each row corresponds to a text chunk extracted from the original XML filings.
What this dataset contains
The dataset covers A1 patent documents published by INPI-France in 2024, sourced from public patent XML and processed via API/FTP access. Content is segmented into chunks based on structural tags inside the original filings, so each record represents one section of one patent rather than a whole document. The train split contains 3,321,782 rows, and the collection is tagged with a size category between one and ten million records.
Structure and fields
Records are tabular with both string and numeric columns. Core identifiers include publication_number, kind, and publication_date, while data_type, section, and claim_id describe where in the patent the chunk originated. The actual content sits in the text field, accompanied by a numeric text_len column that records the chunk's length in characters, and the dataset is distributed as Apache-2.0-licensed Parquet files consumable with pandas, polars, or the datasets library.
How analysts use it
Because the schema exposes publication_number, section, claim_id, and text, researchers can filter by section to isolate claims versus descriptions for French-language NLP, retrieval, or patent-classification tasks. Investment analysts interested in innovation activity in specific French sectors could use the publication_number and publication_date fields to track filing trends at the company or technology-area level. Treat any downstream statistics with caution, as the license, official publisher status, and exact extraction methodology are not fully documented.
Documentation & references 1
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