|
import json |
|
import sys |
|
import os |
|
import urllib.request as ureq |
|
import pdb |
|
|
|
download=1 |
|
|
|
|
|
|
|
|
|
with open('dataset.json', 'r') as fp: |
|
data = json.load(fp) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if download == 1: |
|
os.mkdir('./images') |
|
for k in data.keys(): |
|
ext=os.path.splitext(data[k]['imageURL'])[1] |
|
outputFile='images/%s%s'%(k,ext) |
|
|
|
ureq.urlretrieve(data[k]['imageURL'],outputFile) |
|
|
|
|
|
|
|
|
|
|
|
|
|
for k in data.keys(): |
|
ext=os.path.splitext(data[k]['imageURL'])[1] |
|
imageFile='images/%s%s'%(k,ext) |
|
|
|
print('************************') |
|
print('Image file: %s'%(imageFile)) |
|
print('List of questions:') |
|
print(data[k]['questions']) |
|
print('List of corresponding answers:') |
|
print(data[k]['answers']) |
|
print('Use this image as training (1), validation (2) or testing (3): %s'%(data[k]['split'])) |
|
print('*************************') |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
genSet=set() |
|
for k in data.keys(): |
|
genSet.add(data[k]['genre']) |
|
|
|
|
|
|
|
numImages=len(data.keys()) |
|
numQApairs=0 |
|
numWordsInQuestions=0 |
|
numWordsInAnswers=0 |
|
numQuestionsPerImage=0 |
|
ANS=set() |
|
authorSet=set() |
|
bookSet=set() |
|
|
|
|
|
for imgId in data.keys(): |
|
numQApairs = numQApairs+len(data[imgId]['questions']) |
|
numQuestionsPerImage = numQuestionsPerImage + len(data[imgId]['questions']) |
|
authorSet.add(data[imgId]['authorName']) |
|
bookSet.add(data[imgId]['title']) |
|
|
|
for qno in range(len(data[imgId]['questions'])): |
|
ques=data[imgId]['questions'][qno] |
|
numWordsInQuestions = numWordsInQuestions+len(ques.split()) |
|
for ano in range(len(data[imgId]['answers'])): |
|
ans=data[imgId]['answers'][ano] |
|
ANS.add(ans) |
|
numWordsInAnswers = numWordsInAnswers+len(str(ans).split()) |
|
|
|
|
|
|
|
print("--------------------------------") |
|
print("Number of Images: %d" %(numImages)) |
|
print("Number of QA pairs: %d" %(numQApairs)) |
|
print("Number of unique author: %d" %(len(authorSet))) |
|
print("Number of unique title: %d" %(len(bookSet))) |
|
print("Number of unique answers: %d" %(len(ANS))) |
|
print("Number of unique genre: %d" %(len(genSet))) |
|
print("Average question length (in words): %.2f" %(float(numWordsInQuestions)/float(numQApairs))) |
|
print("Average answer length (in words): %.2f" %(float(numWordsInAnswers)/float(numQApairs))) |
|
print("Average number of questions per image: %.2f" %(float(numQuestionsPerImage)/float(numImages))) |
|
print("--------------------------------") |
|
|
|
|