Simple local/remote dataset store for Python.
from barn import Dataset
twitter_usa = Dataset(name='twitter_usa', task='NER')
# download from an azure block blob storage and load into a dataframe
twitter_usa.download(tags=['preprocessed'], version='20180305')
df = twitter_usa.df(tags=['preprocessed'], version='20180305')1 Installation
pip install barn2 Features
Pure python.
Supports Python 3.5+.
3 Use
TBA
4 Contributing
Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.
4.1 Installing for development
Clone:
git clone git@github.com:shaypal5/barn.gitInstall in development mode, including test dependencies:
cd barn
pip install -e '.[test]'4.2 Running the tests
To run the tests use:
cd barn
pytest4.3 Adding documentation
The project is documented using the numpy docstring conventions, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. When documenting code you add to this project, follow these conventions.
Additionally, if you update this README.rst file, use python setup.py checkdocs to validate it compiles.
5 Credits
Created by Shay Palachy (shay.palachy@gmail.com).
1 maintainer
Metadata
1 maintainer
Release files for barn 0.0.5
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| File | Interpreter | ABI | Platform | Reset |
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| barn-0.0.5-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / barn-0.0.5-py2.py3-none-any.whl
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| Size | 9.6 kB |
| Tags | Python 2 Python 3 |
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