corpus-unpdf
Parse Philippine Supreme Court decisions issued in PDF format as text; hopefully, this can be utilized in the LawSQL dataset.
Documentation
See documentation.
Development
Checkout code, create a new virtual environment:
poetry add corpus-unpdf # python -m pip install corpus-unpdf
poetry update # install dependencies
poetry shell
Run tests:
pytest
1 maintainer
Release files for corpus-unpdf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| corpus_unpdf-0.1.0.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| corpus_unpdf-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 kB
Release files / corpus_unpdf-0.1.0.tar.gz
| Download URL | corpus_unpdf-0.1.0.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.0 CPython/3.10.6 Darwin/22.5.0
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Release files / corpus_unpdf-0.1.0-py3-none-any.whl
| Download URL | corpus_unpdf-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.5 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 |
poetry/1.5.0 CPython/3.10.6 Darwin/22.5.0
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