---
license: mit
language:
- en
tags:
- movies
- action-movies
- fzmovies
size_categories:
- 1K<n<10K
---
<h1 align="center"> FZMovies-Dataset </h1>

<a href="LICENSE.md"><img src="https://img.shields.io/badge/license-MIT-blue.svg"></a>

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](https://github.com/Simatwa/movies-dataset) on Github to gain insight on more cool stuffs available at your disposal.