Dataset

This dataset was created by Hemant Buchade

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Dataset

This dataset was created by Alhassan Abdulmonam

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Dataset Card for IMDb Movie Dataset: All Movies by Genre

  Dataset Summary

This dataset is an adapted version of "IMDb Movie Dataset: All Movies by Genre" found at: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv. Within the dataset, the movie title and year columns were combined, the genre was extracted from the seperate csv files, the pre-existing genre column was renamed to expanded-genres, any movies missing a… See the full description on the dataset page: https://huggingface.co/datasets/jquigl/imdb-genres.

Dataset

This dataset was created by Dhananjay Kumar

Released under Community Data License Agreement - Sharing - Version 1.0

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Dataset

This dataset was created by Marcelo Barbosa de Morais

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Analysis of ‘Top 250s in IMDB’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ramjasmaurya/top-250s-in-imdb on 28 January 2022.

--- Dataset description provided by original source is as follows ---

IMDb (an abbreviation of Internet Movie Database)[2] is an online database of information related to films, television series, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and critical reviews. IMDb began as a fan-operated movie database on the Usenet group "rec.arts.movies" in 1990, and moved to the web in 1993. It is now owned and operated by IMDb.com, Inc., a subsidiary of Amazon.

As of June 2021, the database contained some 8 million titles (including television episodes) and 10.4 million person records.[3] Additionally, the site had 83 million registered users. The site's well-used message boards were disabled in February 2017.

--- Original source retains full ownership of the source dataset ---

Dataset

This dataset was created by Tarun

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Dataset

This dataset was created by Tann_22_u

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Dataset

This dataset was created by Janavi15Patil

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Dataset

This dataset was created by Kofi Ocran

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Dataset

This dataset was created by Yueming

Released under Database: Open Database, Contents: Database Contents

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Dataset

This dataset was created by Ahmed Mandour

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Dataset

This dataset was created by Gaurav D Somvanshi

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Dataset

This dataset was created by Abdelaziz Nabil

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Dataset

This dataset was created by Yumna Zaib

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Dataset

This dataset was created by Faizan Ahmad

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Dataset

This dataset was created by Kartik Kumar Sharma

Released under CC0: Public Domain

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Dataset

This dataset was created by Zerberus10288

Released under ODC Attribution License (ODC-By)

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Dataset

This dataset was created by dineshbarri

Released under Reddit API Terms

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Context These files contain metadata for all 45,000 movies listed in the Full MovieLens Dataset. The dataset consists of movies released on or before July 2017. Data points include cast, crew, plot keywords, budget, revenue, posters, release dates, languages, production companies, countries, TMDB vote counts and vote averages.

This dataset also has files containing 26 million ratings from 270,000 users for all 45,000 movies. Ratings are on a scale of 1-5 and have been obtained from the official GroupLens website.

Content This dataset consists of the following files:

movies_metadata.csv: The main Movies Metadata file. Contains information on 45,000 movies featured in the Full MovieLens dataset. Features include posters, backdrops, budget, revenue, release dates, languages, production countries and companies.

keywords.csv: Contains the movie plot keywords for our MovieLens movies. Available in the form of a stringified JSON Object.

credits.csv: Consists of Cast and Crew Information for all our movies. Available in the form of a stringified JSON Object.

links.csv: The file that contains the TMDB and IMDB IDs of all the movies featured in the Full MovieLens dataset.

links_small.csv: Contains the TMDB and IMDB IDs of a small subset of 9,000 movies of the Full Dataset.

ratings_small.csv: The subset of 100,000 ratings from 700 users on 9,000 movies.

The Full MovieLens Dataset consisting of 26 million ratings and 750,000 tag applications from 270,000 users on all the 45,000 movies in this dataset can be accessed here

Acknowledgements This dataset is an ensemble of data collected from TMDB and GroupLens. The Movie Details, Credits and Keywords have been collected from the TMDB Open API. This product uses the TMDb API but is not endorsed or certified by TMDb. Their API also provides access to data on many additional movies, actors and actresses, crew members, and TV shows. You can try it for yourself here.

The Movie Links and Ratings have been obtained from the Official GroupLens website. The files are a part of the dataset available here

Inspiration This dataset was assembled as part of my second Capstone Project for Springboard's Data Science Career Track. I wanted to perform an extensive EDA on Movie Data to narrate the history and the story of Cinema and use this metadata in combination with MovieLens ratings to build various types of Recommender Systems.

Both my notebooks are available as kernels with this dataset: The Story of Film and Movie Recommender Systems

Some of the things you can do with this dataset: Predicting movie revenue and/or movie success based on a certain metric. What movies tend to get higher vote counts and vote averages on TMDB? Building Content Based and Collaborative Filtering Based Recommendation Engines.