  Storytelling is the lifeline of the entertainment industry -- movies, TV
shows, and stand-up comedies, all need stories. A good and gripping script is
the lifeline of storytelling and demands creativity and resource investment.
Good scriptwriters are rare to find and often work under severe time pressure.
Consequently, entertainment media are actively looking for automation. In this
paper, we present an AI-based script-writing workbench called KUROSAWA which
addresses the tasks of plot generation and script generation. Plot generation
aims to generate a coherent and creative plot (600-800 words) given a prompt
(15-40 words). Script generation, on the other hand, generates a scene (200-500
words) in a screenplay format from a brief description (15-40 words). Kurosawa
needs data to train. We use a 4-act structure of storytelling to annotate the
plot dataset manually. We create a dataset of 1000 manually annotated plots and
their corresponding prompts/storylines and a gold-standard dataset of 1000
scenes with four main elements -- scene headings, action lines, dialogues, and
character names -- tagged individually. We fine-tune GPT-3 with the above
datasets to generate plots and scenes. These plots and scenes are first
evaluated and then used by the scriptwriters of a large and famous media
platform ErosNow. We release the annotated datasets and the models trained on
these datasets as a working benchmark for automatic movie plot and script
generation.
