IBM Data Science Challenge

Problem Statement :

• Enable multi modal Question Answer on top of this dataset.
  User should be able to ask questions(in text format), and the output should be text and/or image.
  User may also provide an image as an input, and the output should be the plot/points relevant to that image.
• Convert the movie plot into entity-relation ship graph where each path traversal provides a different story arc of the movie
• The data set has been used to show gender bias present in bollywood(http://proceedings.mlr.press/v81/madaan18a/madaan18a.pdf).
You may extend this work to change the movie text to be gender neutral.
• Can you show a relationship between backdrop of the movie and gender bias presented in the movie?
  For example - Is gender bias more prevalent in movies with a rural setting than with an urban one?
• You may come up with any other innovative use of the dataset which leverages and proposes new text, image or video task and early solutions.

• scripts-data
• trailers-data
• wikipedia-data

• trailers_list.csv: Contains movie names and year of release of all the trailers in the dataset
• complete-data.csv: It has gender and emotion information for each of the trailers in the data folder. It has the following columns :
1. frame_number - the frame number of the trailer in which emotion and gender detection occurred
2. man/woman - whether the detected person was a man or a woman
3. emotion - the emotion potrayed by the man/woman detected in the image
4. year - the year in which the movie was released
5. movie_name - the name of the movie
• indiviual-trailer-data.zip : Compressed and zipped file of all indidividual trailer's data.

1. avg_wv_relation.csv - Contains word vector relations data used in Inter sentence level
2. coref_plot.csv - Contains coreferenced plot using OpenIE
3. female_adjectives.csv - Contains adjectives used for females extracted using Stanford Dependency Parser
4. female_adjverb.csv - Contains adjectives and verbs generated using Stanford Dependency Parser
5. female_centrality.csv - Contains centrality for females across all movies in text
6. female_mentions_centrality.csv - Contains centrality and mentions of females in movies
7. female_verb.csv - Contains verbs used for females generated using Stanford Dependency Parser
8. male_adjectives.csv - Contains adjectives used for males extracted using Stanford Dependency Parser
9. male_adjverb.csv - Contains adjectives and verbs generated using Stanford Dependency Parser
10. male_centrality.csv - Contains centrality for males across all movies
11. male_mentions_centrality.csv - Contains centrality and mentions of males in movies in text
12. male_verb.csv - Contains verbs used for males generated using Stanford Dependency Parser
13. songsDB.csv - contains sountrack information
14. songsFrequency.csv- contains soundtrack frequency
15. image_and_plot_mentions_fequency.csv - contains poster mentions and text mentions for males and females in each movie