tensorflow / datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
https://www.tensorflow.org/datasets
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[data request] ted_hrlr_translate/pt_to_en #471

Open ColorBuffer opened 5 years ago

ColorBuffer commented 5 years ago

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
ChanchalKumarMaji commented 5 years ago

I think it will be available in the new version 1.0.2. Change the label to help.

yenchenlin commented 5 years ago

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
ChanchalKumarMaji commented 5 years ago

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.