Skip to main content

Universal chunking functions to extract LLM-friendly chunks from any file type.

Project description

Unichunking

Extract LLM-friendly chunks from any file type.

Supported file types are :

  • DOCX & DOCX-like (DOC, ODT)
  • PPTX & PPTX-like (PPT, ODP)
  • XLSX & XLSX-like (XLS, ODS)
  • TXT, MD, CSV
  • IPYNB

Installation

To install, run the following command:

python3 -m pip install delos-unichunking

How to use

The main functions are :

  • extract_subchunks returns a list of all the text particles in the file.
  • split_chunks_with_overlap transforms a list of subchunks on a given page into a list of chunks following default or specified parameters for minimum/maximum token size and overlap.
  • build_chunked_pages returns a list of "pages", which are lists of formated chunks, following the structure of the document.
  • compute_pages approximates the pagination of a file that does not have a native pagination system (such as DOCX) by comparing it to a PDF version.

Specificities

Please note that the package requires a LibreOffice installation to run soffice commands, used during file conversions : for instance, DOC/ODT are first converted to DOCX format and processed as such.

The page numbers computed for DOCX files are an approximation and can be off by a few pages for large files.

Artifical page numbers are used for page-less structures such as TXT files, or to split large XLSX sheets into multiple pages, to follow a tokens-per-page limit.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

delos_unichunking-1.0.4.tar.gz (29.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

delos_unichunking-1.0.4-py3-none-any.whl (42.0 kB view details)

Uploaded Python 3

File details

Details for the file delos_unichunking-1.0.4.tar.gz.

File metadata

  • Download URL: delos_unichunking-1.0.4.tar.gz
  • Upload date:
  • Size: 29.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.7

File hashes

Hashes for delos_unichunking-1.0.4.tar.gz
Algorithm Hash digest
SHA256 81a88c79e8b54c2223eb69be6d727a3312740f4cf6a78111ebbb970fa2883286
MD5 69c951d011705a85c12dfe510cb1fd84
BLAKE2b-256 a81835870ba3d2869d88332e7f1c63d0f47e198cdacb8fbbc6f24c6a8b703b7b

See more details on using hashes here.

File details

Details for the file delos_unichunking-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for delos_unichunking-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5db3992a68bfa0871a2401f99c9b36a293c790c341db9b748d07a6835a1b15ff
MD5 683f9f977152183a9d678fcb2cf3e10d
BLAKE2b-256 a5f3333b3f910212b621de269c60fe256016f8a2b394c31c14ce399dd7adbd7b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page