  "IMDb" as a user-regulating and one the most-visited portal has provided an
opportunity to create an enormous database. Analysis of the information on
Internet Movie Database - IMDb, either those related to the movie or provided
by users would help to reveal the determinative factors in the route of success
for each movie. As the lack of a comprehensive dataset was felt, we determined
to do create a compendious dataset for the later analysis using the statistical
methods and machine learning models; It comprises of various information
provided on IMDb such as rating data, genre, cast and crew, MPAA rating
certificate, parental guide details, related movie information, posters, etc,
for over 79k titles which is the largest dataset by this date. The present
paper is the first paper in a series of papers aiming at the mentioned goals,
by a description of the created dataset and a preliminary analysis including
some trend in data, demographic analysis of IMDb scores and their relation of
genre MPAA rating certificate has been investigated.
