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-0.7.0.tar.gz (29.0 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-0.7.0-py3-none-any.whl (39.0 kB view details)

Uploaded Python 3

File details

Details for the file delos_unichunking-0.7.0.tar.gz.

File metadata

  • Download URL: delos_unichunking-0.7.0.tar.gz
  • Upload date:
  • Size: 29.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.7

File hashes

Hashes for delos_unichunking-0.7.0.tar.gz
Algorithm Hash digest
SHA256 1b6765de20c1724cf11ba2bf4efce612c75e2b9ee72fc40b9e133e2ad2e8bd94
MD5 1279bd62aebb6249ff94904f1f39c897
BLAKE2b-256 9e522374f1b2b0a98b7e07c9687a5a6872919c47397d54fd24c368650fe191bc

See more details on using hashes here.

File details

Details for the file delos_unichunking-0.7.0-py3-none-any.whl.

File metadata

File hashes

Hashes for delos_unichunking-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8ef2a7e453f9abf75ae70a694c468d3fa045fd784eba4fb6165cb1feb554d4aa
MD5 01c9229f82e725425830930b1b353c38
BLAKE2b-256 9ba1dc67c20bec5338d40806043c1d19084feb01c0f936aaa29b981d8a755a8c

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