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‎.gitignore

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# Compiled python modules.
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*.pyc
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# Byte-compiled
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_pycache__/
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.cache/
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# Python egg metadata, regenerated from source files by setuptools.
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*.egg-info
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.eggs/
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# PyPI distribution artifacts.
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build/
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dist/
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# Tests
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.pytest_cache/
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# Other
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*.DS_Store
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# PyCharm/vscode
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.idea
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.vscode
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# keep only the empty datasets directory
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/src/*/datasets/*
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!/src/*/datasets/__init__.py

‎AUTHORS

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# This is the list of HuggingFace NLP authors for copyright purposes.
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#
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# This does not necessarily list everyone who has contributed code, since in
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# some cases, their employer may be the copyright holder. To see the full list
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# of contributors, see the revision history in source control.
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Google Inc.
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HuggingFace Inc.

‎CONTRIBUTING.md

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# How to Contribute
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Thanks for thinking about contributing to our library !
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## Before you start
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* Please accept the [Contributor License Agreement](https://cla.developers.google.com) (see below)
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* Comment on the issue that you plan to work on so we can assign it to you and
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there isn't unnecessary duplication of work. If this is your first time
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contributing, we'll send you an invitation on GitHub to be a contributor;
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you must accept this invitation
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[here](https://github.com/tensorflow/datasets/settings/collaboration)
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before we can assign you the issue.
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* When you plan to work on something larger (for example, adding new
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`FeatureConnectors`), please respond on the issue (or create one if there
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isn't one) to explain your plan and give others a chance to discuss.
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* If you're fixing some smaller issue - please check the list of
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[pending Pull Requests](https://github.com/tensorflow/datasets/pulls) to
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avoid unnecessary duplication.
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## How you can help:
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You can help in multiple ways:
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* Adding new datasets and/or requested features (see the [issues](https://github.com/tensorflow/datasets/issues))
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* Reproducing bugs reported by others: This helps us **a lot**.
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* Doing code reviews on the Pull Requests from the community.
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* Verifying that Pull Requests from others are working correctly
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(especially the ones that add new datasets).
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## Datasets
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Adding a public dataset to `tensorflow-datasets` is a great way of making it
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more accessible to the TensorFlow community.
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See our
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[Add a dataset doc](https://github.com/tensorflow/datasets/tree/master/docs/add_dataset.md)
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to learn how to add a dataset.
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## Docstrings
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Methods and classes should have clear and complete docstrings.
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Most methods (and all publicly-facing API methods) should have an `Args:`
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section that documents the name, type, and description of each argument.
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Argument lines should be formatted as
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`` arg_name: (`arg_type`) Description of arg. ``
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References to `tfds` methods or classes within a docstring should go in
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backticks and use the publicly accessible path to that symbol. For example
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`` `tfds.core.DatasetBuilder` ``.
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Doing so ensures that the API documentation will insert a link to the
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documentation for that symbol.
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## Tests
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To ensure that `tensorflow-datasets` is nice to use and nice to work on
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long-term, all modules should have clear tests for public members. All tests
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require:
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* Subclassing
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[`tfds.testing.TestCase`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/testing/test_case.py)
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* Calling `tf.enable_v2_behavior()` at the top-level just after
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the imports. This is to enable testing against TF 2.0.
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* Using the `@tfds.testing.run_in_graph_and_eager_modes()` decorator for all
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functionality that touches TF ops. To evaluate Tensor values in a way that
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is compatible in both Graph and Eager modes, use `self.evaluate(tensors)`
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or `tfds.as_numpy`.
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* End the test file with `if __name__ == "__main__": tfds.testing.test_main()`.
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*Note that tests for DatasetBuilders are different and are documented in the*
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*[guide to add a dataset](https://github.com/tensorflow/datasets/tree/master/docs/add_dataset.md#testing-mydataset).*
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## Pull Requests
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All contributions are done through Pull Requests here on GitHub.
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## Contributor License Agreement
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Contributions to this project must be accompanied by a Contributor License
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Agreement. You (or your employer) retain the copyright to your contribution,
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this simply gives us permission to use and redistribute your contributions as
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part of the project. Head over to <https://cla.developers.google.com/> to see
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your current agreements on file or to sign a new one.
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You generally only need to submit a CLA once, so if you've already submitted one
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(even if it was for a different project), you probably don't need to do it
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again.
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## Code reviews
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All submissions, including submissions by project members, require review. We
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use GitHub pull requests for this purpose. Consult
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[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
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information on using pull requests.

‎LICENSE

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