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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

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for JaMe76 from gravatar.com JaMe76

Credits

Author: Dr. Janis Meyer

License

Apache Software License (Apache License 2.0)

Requires

Python >=3.10

Provides Extra

full types dev test

Classifiers

Report project as malware

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Release history Release notifications | RSS feed

1.3.0

2 files

This release

1.2.14 This release

2 files

1.2.13

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1.2.12

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1.2.11

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1.2.10

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1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

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1.2.5

2 files

1.2.4

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1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.0

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

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1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

Pre-release

1.0.0a0

2 files

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