Context This dataset was uploaded as because I didn't came across no quickly available sources for the happy house problem. So, I took this dataset from Deep Learning Specialization - Course 4 - Convolutional Neural Networks, to give easy access to everyone on Kaggle to play around with it. Content Contains 2 *.h5 files One is the train dataset One is the test dataset Here's some boilerplate code to get you started with loading the dataset! Note: The code is borrowed from the Deep Learning Specialization Assignment which introduces this problem. def load_dataset(path_to_train, path_to_test): train_dataset = h5py.File(path_to_train) train_x = np.array(train_dataset['train_set_x'][:]) train_y = np.array(train_dataset['train_set_y'][:]) test_dataset = h5py.File(path_to_test) test_x = np.array(test_dataset['test_set_x'][:]) test_y = np.array(test_dataset['test_set_y'][:]) # y reshaped train_y = train_y.reshape((1, train_x.shape[0])) test_y = test_y.reshape((1, test_y.shape[0])) return train_x, train_y, test_x, test_y Acknowledgements Deep Learning Specialization - Andrew Ng and the whole deeplearning.ai team. Image taken from Pexels: https://www.pexels.com/photo/cute-family-picture-160994/