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The authors started by extracting all Reddit post urls from the Reddit submissions dataset. These links were deduplicated, filtered to exclude non-html content, and then shuffled randomly. The links were then distributed to several machines in parallel for download, and all web pages were extracted using the newspaper python package. Using Facebook FastText, non-English web pages were filtered out.
For this tutorial, we treat VQA as a classification task wherethe inputs are images and question (text) and the output is an answer class.So we need to download the vocab file with answer classes and create the answer tolabel mapping. 781b155fdc


