tensorflow / tensorflow/datasets

[data request] ted_hrlr_translate/pt_to_en

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dataset request
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Python
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Description

It exist in datasets list and I can download it using colab.
But I can't download it on my computer.

Using version 1.0.1 of library.

examples, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True,
                               as_supervised=True)



tensorflow_datasets.core.registered.DatasetNotFoundError: Dataset ted_hrlr_translate not found. Available datasets:
        - bair_robot_pushing_small
        - cats_vs_dogs
        - celeb_a
        - celeb_a_hq
        - cifar10
        - cifar100
        - coco2014
        - diabetic_retinopathy_detection
        - dummy_dataset_shared_generator
        - dummy_mnist
        - fashion_mnist
        - image_label_folder
        - imagenet2012
        - imdb_reviews
        - lm1b
        - lsun
        - mnist
        - moving_mnist
        - nsynth
        - omniglot
        - open_images_v4
        - quickdraw_bitmap
        - squad
        - starcraft_video
        - svhn_cropped
        - tf_flowers
        - wmt_translate_ende
        - wmt_translate_enfr
Check that:
    - the dataset name is spelled correctly
    - dataset class defines all base class abstract methods
    - dataset class is not in development, i.e. if IN_DEVELOPMENT=True
    - the module defining the dataset class is imported

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Begin by reproducing the reported tfds.load call with TensorFlow Datasets 1.0.1 and compare the local behavior with Colab. The work is complete when ted_hrlr_translate/pt_to_en is recognized and downloadable on a computer, with the behavior covered by an appropriate test.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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