#!/bin/env python import paddle.v2.dataset as dataset import nltk #cifar dataset.common.download(dataset.cifar.CIFAR100_URL, 'cifar', dataset.cifar.CIFAR100_MD5) dataset.common.download(dataset.cifar.CIFAR10_URL, 'cifar', dataset.cifar.CIFAR10_MD5) # Cache conll05 dataset.common.download(dataset.conll05.WORDDICT_URL, 'conll05st', \ dataset.conll05.WORDDICT_MD5) dataset.common.download(dataset.conll05.VERBDICT_URL, 'conll05st', \ dataset.conll05.VERBDICT_MD5) dataset.common.download(dataset.conll05.TRGDICT_URL, 'conll05st', \ dataset.conll05.TRGDICT_MD5) dataset.common.download(dataset.conll05.EMB_URL, 'conll05st', dataset.conll05.EMB_MD5) dataset.common.download(dataset.conll05.DATA_URL, 'conll05st', dataset.conll05.DATA_MD5) # Cache imdb dataset.common.download(dataset.imdb.URL, "imdb", dataset.imdb.MD5) # Cache imikolov dataset.common.download(dataset.imikolov.URL, "imikolov", dataset.imikolov.MD5) # Cache movielens dataset.common.download('http://files.grouplens.org/datasets/movielens/ml-1m.zip',\ 'movielens','c4d9eecfca2ab87c1945afe126590906') # Cache nltk nltk.download('movie_reviews', download_dir=dataset.common.DATA_HOME) # Cache uci housing dataset.common.download(dataset.uci_housing.URL, "uci_housing", \ dataset.uci_housing.MD5) # Cache vmt14 dataset.common.download(dataset.wmt14.URL_TRAIN, "wmt14",\ dataset.wmt14.MD5_TRAIN) #mnist dataset.common.download(dataset.mnist.TRAIN_IMAGE_URL, 'mnist', dataset.mnist.TRAIN_IMAGE_MD5) dataset.common.download(dataset.mnist.TRAIN_LABEL_URL, 'mnist', dataset.mnist.TRAIN_LABEL_MD5) dataset.common.download(dataset.mnist.TEST_IMAGE_URL, 'mnist', dataset.mnist.TEST_IMAGE_MD5) dataset.common.download(dataset.mnist.TEST_LABEL_URL, 'mnist', dataset.mnist.TEST_LABEL_MD5)