Name: Popular 10,000 Movies Listed On TMDb (latest)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Popular 10,000 Movies Listed On TMDb (latest)

Context:

These files contain TMDb datasets of popular 10000 English movies. Key data points of the datasets are: cast, crew, keywords, genre, overview, popularity, vote_average, vote_count, title etc.

Acknowledegements:

The cast, crew, keywords, and movie informations have been collected from the TMDb using the public API through web-scraping. Additional information regarding movies can be accessed through the public API on the TMDb website. However, these datasets contain only the relevant columns that are required for building recommendation systems.

If you need an extra feature/column, feel free to post it on the discussion tab.

Useful for:

building recommendation systems based on content-based, collaborative filtering based or hybrid approach.

Please consider an UPVOTE if you found it useful.

Tables

Cast Dataset

@kaggle.manashjyotiborah_top_10000_movies_hosted_on_tmdb.cast_dataset

10.21 MB
10,000 rows
2 columns

CREATE TABLE cast_dataset (
  "id" BIGINT,
  "cast" VARCHAR
);

Crew Dataset

@kaggle.manashjyotiborah_top_10000_movies_hosted_on_tmdb.crew_dataset

13.33 MB
10,000 rows
2 columns

CREATE TABLE crew_dataset (
  "id" BIGINT,
  "crew" VARCHAR
);

Keywords Dataframe

@kaggle.manashjyotiborah_top_10000_movies_hosted_on_tmdb.keywords_dataframe

1.25 MB
10,000 rows
3 columns

CREATE TABLE keywords_dataframe (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" BIGINT,
  "keywords" VARCHAR
);

Movies Dataset

@kaggle.manashjyotiborah_top_10000_movies_hosted_on_tmdb.movies_dataset

2.31 MB
10,000 rows
10 columns

CREATE TABLE movies_dataset (
  "genre_ids" VARCHAR,
  "id" BIGINT,
  "original_language" VARCHAR,
  "overview" VARCHAR,
  "popularity" DOUBLE,
  "release_date" TIMESTAMP,
  "title" VARCHAR,
  "vote_average" DOUBLE,
  "vote_count" BIGINT,
  "genres" VARCHAR
);