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
I think it will be available in the new version 1.0.2.
Change the label to help.
You can build tfds by yourself to access 1.0.2.
git clone https://github.com/tensorflow/datasets.git
cd datasets
python setup.py install --nightly
You can build tfds by yourself to access
1.0.2.git clone https://github.com/tensorflow/datasets.git cd datasets python setup.py install --nightly
I think we have to do this each time we use it.
Most helpful comment
You can build tfds by yourself to access
1.0.2.