Task: Question Answering
Input (English): We evaluate the quality of the document embeddings learned by the different variants of CAHAN and the HAN baseline on three of the large-scale document classification datasets introduced by BIBREF14 and used in the original HAN paper BIBREF5. They fall into two categories: topic classification (Yahoo) and fine-grained sentiment analysis (Amazon, Yelp). 
 Question: What are the datasets used
Output (English): large-scale document classification datasets introduced by BIBREF14