Dataset building and processing tools for deepdoctection
Project description
deepdoctection-datasets
Categories and Datasets as well as some dataset instances for training models supported by deepdoctection.
Overview
dd-datasets is a package that provides comprehensive dataset management capabilities for Document AI tasks.
It includes:
- datasets: Built-in dataset definitions and dataflow builders for popular document understanding datasets.
- instances: Pre-defined dataset instances for common document understanding tasks such as object detection, text classifications and named entity recognition.
Installation
uv pip install dd-datasets
For using all datasets including those that require the xml-parsing tool lxml:
uv pip install dd-datasets[full]
License
Apache License 2.0
Author
Dr. Janis Meyer
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dd_datasets-1.1.0.tar.gz.
File metadata
- Download URL: dd_datasets-1.1.0.tar.gz
- Upload date:
- Size: 35.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
631e940b225780dff125a16f197030b3b05fad650d2b375363f92e726d08798e
|
|
| MD5 |
c2eb58818ac9ef2864a2582c5abc25a2
|
|
| BLAKE2b-256 |
e7d6f0b7eb408ec7baddf6e95ce6598b3a1da6b8905cbf9f99887ce660182159
|
File details
Details for the file dd_datasets-1.1.0-py3-none-any.whl.
File metadata
- Download URL: dd_datasets-1.1.0-py3-none-any.whl
- Upload date:
- Size: 56.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99f6e4b8c1c3bf991ae846da0815fc19c351e4b500ad23028b2f895a44cc5ac6
|
|
| MD5 |
ef8801a65c23ab9117e18f327ccf4075
|
|
| BLAKE2b-256 |
d0a00712a5f3fd038e56eefa7a0dd6988011af88601daa03aae73a56bf82e9da
|
