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
1 maintainer
Metadata
1 maintainer
Release files for dd-datasets 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dd_datasets-1.4.0.tar.gz | 38.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dd_datasets-1.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 99.2 kB
Release files / dd_datasets-1.4.0.tar.gz
| Download URL | dd_datasets-1.4.0.tar.gz |
|---|---|
| Size | 38.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.10.21
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Release files / dd_datasets-1.4.0-py3-none-any.whl
| Download URL | dd_datasets-1.4.0-py3-none-any.whl |
|---|---|
| Size | 60.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.21
|
