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GLDV2 - Google Landmarks Download Issue
GLDV2 Dataset
I am trying to use the load_data function on the GLDV2 dataset in the reduced version of 23K (see function call below) using this code:
import tensorflow as tf import tensorflow_federated as tff
gldv2_train, gldv2_test = tff.simulation.datasets.gldv2.load_data(gld23k = True)
Environment:
- Linux
- TensorFlow Federated: 0.56.0
- TensorFlow: 2.12.0
- Python version: 3.9
- Not building it from source
Expected behavior Download the data from landmarks-user-160k.zip
Error raise ValueError( ValueError: Incomplete or corrupted file detected. The md5 file hash does not match the provided value of 825975950b2e22f0f66aa8fd26c1f153 images_000.tar