Skip to main content

HuggingFace/Datasets is an open library of NLP datasets.

Project description

Note:

VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention (we need to follow this convention to be able to retrieve versioned scripts)

Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py

To create the package for pypi.

  1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.

  2. Commit these changes with the message: “Release: VERSION”

  3. Add a tag in git to mark the release: “git tag VERSION -m’Adds tag VERSION for pypi’ ” Push the tag to git: git push –tags origin master

  4. Build both the sources and the wheel. Do not change anything in setup.py between creating the wheel and the source distribution (obviously).

    For the wheel, run: “python setup.py bdist_wheel” in the top level directory. (this will build a wheel for the python version you use to build it).

    For the sources, run: “python setup.py sdist” You should now have a /dist directory with both .whl and .tar.gz source versions.

  5. Check that everything looks correct by uploading the package to the pypi test server:

    twine upload dist/* -r pypitest (pypi suggest using twine as other methods upload files via plaintext.) You may have to specify the repository url, use the following command then: twine upload dist/* -r pypitest –repository-url=https://test.pypi.org/legacy/

    Check that you can install it in a virtualenv by running: pip install -i https://testpypi.python.org/pypi datasets

  6. Upload the final version to actual pypi: twine upload dist/* -r pypi

  7. Fill release notes in the tag in github once everything is looking hunky-dory.

  8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed Update the version mapping in docs/source/_static/js/custom.js, and set version to X.X.X.dev0 in setup.py and __init__.py

Project details


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

datasets-1.7.0.tar.gz (201.5 kB view details)

Uploaded Source

Built Distribution

datasets-1.7.0-py3-none-any.whl (234.9 kB view details)

Uploaded Python 3

File details

Details for the file datasets-1.7.0.tar.gz.

File metadata

  • Download URL: datasets-1.7.0.tar.gz
  • Upload date:
  • Size: 201.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.2

File hashes

Hashes for datasets-1.7.0.tar.gz
Algorithm Hash digest
SHA256 ea5d3fad5ddccd191e11e936f269f0860832664d810686ee301d431a85e08f75
MD5 df0a1f6d7fcc2f3067415653df5f74be
BLAKE2b-256 ec1d048bcae90420ba6aa3adb435539991f98a4b01e2261a427f295734526615

See more details on using hashes here.

File details

Details for the file datasets-1.7.0-py3-none-any.whl.

File metadata

  • Download URL: datasets-1.7.0-py3-none-any.whl
  • Upload date:
  • Size: 234.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.2

File hashes

Hashes for datasets-1.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4d1d6e2488911091c2cd873eb0f00c1dce16170ed5beb369e6fb58f3eceebf2b
MD5 7e76d4a51f0d41d21f600cf0342a9075
BLAKE2b-256 94f8ff7cd6e3b400b33dcbbfd31c6c1481678a2b2f669f521ad20053009a9aa3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page