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Datasets:
Smartwa
/
fzmovies-dataset

Modalities:
Image
Text
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
movies
action-movies
fzmovies
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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fzmovies-dataset / README.md
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metadata
license: mit
language:
  - en
tags:
  - movies
  - action-movies
  - fzmovies
size_categories:
  - 1K<n<10K

FZMovies-Dataset

The dataset encompasses comprehensive information regarding Hollywood and Bollywood cinematic productions release between 1951-2024 accessible through fzmovies.net. The data set comprises the following attributes:

  1. Movie Title
  2. Category
  3. Genre
  4. Release Year
  5. Distribution Format
  6. URL linking to the specific movie page
  7. Link to visual representation of the movie's release cover photograph

The genre classification extends across a wide range of categories, including but not limited to:

Action, Adventure, Animation, Biography, Comedy, Crime, Documentary, Drama, Family, Fantasy, Film Noir, Historical, Horror, Music, Musical, Mystery, Romantic, Science Fiction, Sports, Thriller, War, and Western.

This structured compilation provides a valuable resource for researchers, analysts, and enthusiasts seeking detailed insights into the global film industry's diverse offerings.

Genre-Specific Datasets

No. Genre Link
1 Action https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/action.csv
2 Adventure https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/adventure.csv
3 Animation https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/animation.csv
4 Biography https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/biography.csv
5 Comedy https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/comedy.csv
6 Crime https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/crime.csv
7 Documentary https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/documentary.csv
8 Drama https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/drama.csv
9 Family https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/family.csv
10 Fantasy https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/fantasy.csv
11 Film-Noir https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/film-noir.csv
12 History https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/history.csv
13 Horror https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/horror.csv
14 Music https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/music.csv
15 Musical https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/musical.csv
16 Mystery https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/mystery.csv
17 Romance https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/romance.csv
18 Sci-Fi https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/sci-fi.csv
19 Sport https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/sport.csv
20 Thriller https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/thriller.csv
21 War https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/war.csv
22 Western https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/western.csv

Combined Datasets Link

No. Identity Link
1 Combined csv https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/combined.csv
2 Sqlite3 Database https://raw.githubusercontent.com/Simatwa/movies-dataset/main/data/combined.db

Further details

Pay a visit to Simatwa/movies-dataset on Github to gain insight on more cool stuffs available at your disposal.