tensorflow / tensorflow/datasets
TFDS CLI requires apache-beam and is not installed by pip
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Description
Short description
Installing only tfds-nightly via pip doesn't allow using it.
One needs to install apache-beam as well
Environment information
-
Operating System: Google Colab
-
Python version: 3.10.12
-
tensorflow-datasets/tfds-nightlyversion: TensorFlow Datasets: 4.9.6+nightly -
Does the issue still exists with the last
tfds-nightlypackage (pip install --upgrade tfds-nightly) ?
Yes
Reproduction instructions
https://gist.github.com/lbo462/9721f51f74ce6bc4aec8d34147bceb27
Link to logs
https://gist.github.com/lbo462/9721f51f74ce6bc4aec8d34147bceb27
Expected behavior
Either pip should install apache-beam on its own, or the documentation should tell to install it.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked reproduction and logs, then read the TFDS CLI documentation linked in the issue. Determine whether installing tfds-nightly should include apache-beam or whether the documentation should state that it is required; the issue is done when a fresh installation provides a usable CLI or clearly documents the additional installation step.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100