In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Input: Consider Input: The dataset (composed of 2.6 GB of raw text) includes $421\,829\,960$ words divided into $17\,305\,401$ sentences.

Output: How big is dataset used to train Word2Vec for the Italian Language?

Input: Consider Input: This study assumes that a robot does not have any vocabularies in advance but can recognize syllables or phonemes.

Output: Does their model start with any prior knowledge of words?

Input: Consider Input: To build the large ancient-modern Chinese dataset, we collected 1.7K bilingual ancient-modern Chinese articles from the internet. More specifically, a large part of the ancient Chinese data we used come from ancient Chinese history records in several dynasties (about 1000BC-200BC) and articles written by celebrities of that era.
Output: Where does the ancient Chinese dataset come from?