Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Clean-labeled Datasets. We use three clean labeled datasets. The first one is the movie sentence polarity dataset from BIBREF19. The other two datasets are laptop and restaurant datasets collected from SemEval-2016 . Noisy-labeled Training Datasets. For the above three domains (movie, laptop, and restaurant), we collected 2,000 reviews for each domain from the same review source.
Question: What is the dataset used to train the model?
Output:
movie sentence polarity dataset from BIBREF19 laptop and restaurant datasets collected from SemEval-201 we collected 2,000 reviews for each domain from the same review source