In this task, you are given a question and a context passage. You have to answer the question based on the given passage.

Ex Input:
Who practices SODIS?, Context: Solar water disinfection (SODIS) involves exposing water-filled plastic polyethylene terephthalate (PET) bottles to sunlight for several hours. Exposure times vary depending on weather and climate from a minimum of six hours to two days during fully overcast conditions. It is recommended by the World Health Organization as a viable method for household water treatment and safe storage. Over two million people in developing countries use this method for their daily drinking water.

Ex Output:
Over two million people


Ex Input:
How known was the phrase used?, Context: The only words of Jesus on the cross in the Mark and Matthew accounts, this is a quotation of Psalm 22. Since other verses of the same Psalm are cited in the crucifixion accounts, it is often considered a literary and theological creation. Geza Vermes, however, points out that the verse is cited in Aramaic rather than the Hebrew in which it usually would have been recited, and suggests that by the time of Jesus, this phrase had become a proverbial saying in common usage. Compared to the accounts in the other Gospels, which he describes as 'theologically correct and reassuring', he considers this phrase 'unexpected, disquieting and in consequence more probable'. He describes it as bearing 'all the appearances of a genuine cry'. Raymond Brown likewise comments that he finds 'no persuasive argument against attributing to the Jesus of Mark/Matt the literal sentiment of feeling forsaken expressed in the Psalm quote'.

Ex Output:
in common usage


Ex Input:
What do video algorithms do to colors?, Context: Video data may be represented as a series of still image frames. The sequence of frames contains spatial and temporal redundancy that video compression algorithms attempt to eliminate or code in a smaller size. Similarities can be encoded by only storing differences between frames, or by using perceptual features of human vision. For example, small differences in color are more difficult to perceive than are changes in brightness. Compression algorithms can average a color across these similar areas to reduce space, in a manner similar to those used in JPEG image compression. Some of these methods are inherently lossy while others may preserve all relevant information from the original, uncompressed video.

Ex Output:

average