@ -28,6 +28,8 @@ images per class.
"""
from __future__ import print_function
import itertools
import numpy
import paddle.dataset.common
@ -12,6 +12,8 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import requests
import hashlib
import os
@ -20,6 +20,8 @@ dataset. And a pre-trained word vector model based on Wikipedia corpus is used
to initialize SRL model.
import tarfile
import gzip
@ -28,6 +28,9 @@ Graphics and Image Processing (2008)
http://www.robots.ox.ac.uk/~vgg/publications/papers/nilsback08.{pdf,ps.gz}.
import functools
from .common import download
@ -29,6 +29,9 @@ the image layout as follows.
formats can be used for training. Noted that, the format should
be keep consistent between the training and inference peroid.
import numpy as np
try:
import cv2
@ -20,6 +20,8 @@ of 25,000 highly polar movie reviews for training, and 25,000 for testing.
Besides, this module also provides API for building dictionary.
import collections
@ -18,6 +18,9 @@ This module will download dataset from
http://www.fit.vutbr.cz/~imikolov/rnnlm/ and parse training set and test set
into paddle reader creators.
@ -17,6 +17,9 @@ MNIST dataset.
This module will download dataset from http://yann.lecun.com/exdb/mnist/ and
parse training set and test set into paddle reader creators.
import subprocess
@ -22,6 +22,8 @@ set and test set into paddle reader creators.
import zipfile
import re
@ -23,6 +23,8 @@ http://research.microsoft.com/en-us/um/beijing/projects/letor/LETOR4.0/Data/MQ20
import rarfile
@ -20,6 +20,8 @@ The script fetch and preprocess movie_reviews data set that provided by NLTK
TODO(yuyang18): Complete dataset.
import six
from itertools import chain
import paddle.dataset.cifar
import unittest
import tempfile
import paddle.dataset.flowers
import paddle.dataset.imdb
import paddle.dataset.imikolov
import paddle.dataset.mnist
import paddle.dataset.mq2007
@ -15,6 +15,8 @@
import nltk
import paddle.dataset.sentiment as st
import paddle.dataset.voc2012
import paddle.dataset.wmt16
@ -19,7 +19,7 @@ https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ and
@ -19,6 +19,8 @@ to training/test sets has been maintained. The total number of images
with segmentation has been increased from 7,062 to 9,993.
import io
@ -19,6 +19,9 @@ http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz and