Example Movie Dataset

The Example Movies Dataset is used throughout the documentation. It is a filtered and restructured dataset derived from the IMDB dataset. It consists of movies, actors and a character mapping between movies and actors (i.e. who played which character in which movie).

Download

The files are available in the following formats:

Format	Description
CSV	The quote character is " and the delimiter is ,.
JSONL	Each line is a JSON object. This is sometimes referred to Newline Delimited JSON (ndjson).

Download the files here:

File	Description	CSV	JSONL
Movies	The list of movies.	movies.csv	movies.jsonl
Actors	The list of actors.	actors.csv	actors.jsonl
Character Mapping	The mapping between movies and actors.	movie_to_actor_character.csv	movie_to_actor_character.jsonl

File Structure

Movies

Field	Description
movie_id	The unique identifier of the movie.
title	The title of the movie.
year	The year the movie was released.
runtime	The runtime of the movie in minutes. \N will appear if the runtime is unknown.
genres	The genres of the movie.
actor_ids	The unique identifiers of the actors in the movie. In CSV, this is a comma-separated list. In JSONL, it is an array.

CSV Example

movie_id,title,year,runtime,genres,actor_ids
tt10396038,Neither Hero Nor Traitor,2020,73,"Drama,History","nm6286339,nm0261957,nm8358700,nm7506705"
tt10397306,Madison,2020,87,"Adventure,Drama,Family","nm10055076,nm0525518,nm0913217,nm12691322"
tt10397752,Disordered,2020,89,"Animation,Documentary,Family",nm11496979

JSONL Example

{"movie_id":"tt14063912","title":"Light of a Burning Moth","year":"2020","runtime":"120","genres":"Drama","actor_ids":["nm10059705","nm12324893","nm4259675"]}
{"movie_id":"tt14085636","title":"Flight Paths","year":"2020","runtime":"60","genres":"Animation","actor_ids":["nm12334908"]}
{"movie_id":"tt14097488","title":"Wolf Cubs of Apple Valley","year":"2020","runtime":"\\N","genres":"Drama,Family","actor_ids":["nm12344653","nm11990620","nm10209159","nm12344730"]}

Actors

Field	Description
actor_id	The unique identifier of the actor.
name	The name of the actor.
birthYear	The year the actor was born. \N will appear if the birthYear is unknown.
deathYear	The year the actor died. \N will appear if the deathYear is unknown.
primaryProfession	The primary professions of the actor. \N will appear if the primaryProfession is unknown. In CSV, this is a comma-separated list. In JSONL, it is an array.

CSV Example

actor_id,name,birthYear,deathYear,primaryProfession
nm0135292,Carmine Capobianco,1958,2021,"actor,writer,producer"
nm0135427,Joe Capozzi,\N,\N,"actor,producer,writer"
nm0135439,Al Capp,1909,1979,"writer,actor,miscellaneous"
nm0135586,Fritjof Capra,1939,\N,writer

JSONL Example

{"actor_id":"nm0135292","name":"Carmine Capobianco","birthYear":"1958","deathYear":"2021","primaryProfession":["actor","writer","producer"]}
{"actor_id":"nm0135427","name":"Joe Capozzi","birthYear":"\\N","deathYear":"\\N","primaryProfession":["actor","producer","writer"]}
{"actor_id":"nm0135439","name":"Al Capp","birthYear":"1909","deathYear":"1979","primaryProfession":["writer","actor","miscellaneous"]}

Character Mapping

Field	Description
movie_id	The unique identifier of the movie.
actor_id	The unique identifier of the actor.
characters	The characters the actor played in the movie. In CSV, this is a pipe-separated list. In JSONL, it is an array.

CSV Example

movie_id,actor_id,characters
tt11487958,nm7945000,Sara
tt11487958,nm8429647,James
tt11487958,nm5466314,Restaurant Patron| Partygoer

JSONL Example

{"movie_id":"tt11487958","actor_id":"nm7945000","characters":["Sara"]}
{"movie_id":"tt11487958","actor_id":"nm8429647","characters":["James"]}
{"movie_id":"tt11487958","actor_id":"nm5466314","characters":["Restaurant Patron","Partygoer"]}