In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.

Passage: 'Although ratings remained consistent through the 10th through 12th seasons and had begun to rise in the overall Nielsen ratings (up to the 105th most watched series on television, from 118 in season 8), Fox abruptly announced in 2008 that King of the Hill had been cancelled. The cancellation coincided with the announcement that Seth MacFarlane, creator of Family Guy and American Dad!, would be creating a Family Guy spin-off called The Cleveland Show, which would take over King of the Hill's time slot.'. Question: 'why was revolt of 1857 known as first war of independence'.
False

Passage: 'Drake led Chelsea to its first league title in 1955, while Sexton managed the club to their first European honour, a UEFA Cup Winners' Cup triumph in 1971 and Vialli guided Chelsea to win the 1998 UEFA Super Cup. Mourinho has won the most domestic titles, whereas Ancelotti led Chelsea to their first league and FA Cup 'Double'. Di Matteo won the first UEFA Champions League for Chelsea in 2012. A year after, Benítez led the club to win the UEFA Europa League, becoming the first club to hold two major European titles simultaneously and one of five clubs, and the first British club, to have won all three of UEFA's major club competitions.'. Question: 'how do you play the poker game omaha'.
False

Passage: 'Cross-validation, sometimes called rotation estimation, or out-of-sample testing is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. In a prediction problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data) against which the model is tested (called the validation dataset or testing set )., The goal of cross-validation is to test the model's ability to predict new data that was not used in estimating it, in order to flag problems like overfitting or selection bias and to give an insight on how the model will generalize to an independent dataset (i.e., an unknown dataset, for instance from a real problem).'. Question: 'cyanobacteria (blue-green algae) is an example of what type of plankton'.

False