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Ingest PDF to Parquet

This tranforms iterate through PDF files or zip of PDF files and generates parquet files containing the converted document in Markdown format.

The PDF conversion is using the Docling package.

Output format

The output format will contain all the columns of the metadata CSV file, with the addition of the following columns

{
    "source_filename": "string",  // the basename of the source archive or file
    "filename": "string",         // the basename of the PDF file
    "contents": "string",         // the content of the PDF
    "document_id": "string",      // the document id, a random uuid4 
    "ext": "string",              // the detected file extension
    "hash": "string",             // the hash of the `contents` column
    "size": "string",             // the size of `contents`
    "date_acquired": "date",      // the date when the transform was executing
    "num_pages": "number",        // number of pages in the PDF
    "num_tables": "number",       // number of tables in the PDF
    "num_doc_elements": "number", // number of document elements in the PDF
    "pdf_convert_time": "float",  // time taken to convert the document in seconds
}

Parameters

The transform can be initialized with the following parameters.

Parameter Default Description
artifacts_path Path where to Docling models artifacts are located, if unset they will be downloaded and fetched from the HF_HUB_CACHE folder.
contents_type text/markdown The output type for the contents column. Valid types are text/markdown and application/json.
do_table_structure True If true, detected tables will be processed with the table structure model.
do_ocr True If true, optical character recognition (OCR) will be used to read the content of bitmap parts of the document.
double_precision 8 If set, all floating points (e.g. bounding boxes) are rounded to this precision. For tests it is advised to use 0.

When invoking the CLI, the parameters must be set as --pdf2parquet_<name>, e.g. --pdf2parquet_do_ocr=true.

Credits

The PDF document conversion is developed by the AI for Knowledge group in IBM Research Zurich. The main package is Docling.