Sample Mflix Dataset
On this page
The sample_mflix
database contains data on movies and movie
theaters. The database also contains collections for certain metadata,
including users and comments on specific movies.
To learn how to load the sample data provided by Atlas into your cluster, see Load Sample Data.
Collections
The sample_mflix
database contains the following collections:
Collection Name | Description |
---|---|
Contains comments associated with specific movies. | |
Contains details on movies in the Western ,
Action , and Fantasy genres
from sample_mflix.movies collection with an added plot_embedding
field that contains embeddings created using OpenAI's
text-embedding-ada-002 embedding model that you can use with
Atlas Vector Search. | |
Contains movie information, including release year, director,
and reviews. | |
Metadata field. Contains users'
JSON Web Tokens. | |
Contains locations of movie theaters. | |
Contains user information. |
sample_mflix.comments
This collection contains comments associated with specific movies. Each document contains the comment text, the user who submitted it, and the movie the comment applies to.
Indexes
This collection contains the following indexes:
Name | Index | Description |
---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. |
Sample Document
{ "_id": { "$oid": "5a9427648b0beebeb69579cc" }, "name": "Andrea Le", "email": "andrea_le@fakegmail.com", "movie_id": { "$oid": "573a1390f29313caabcd418c" }, "text": "Rem officiis eaque repellendus amet eos doloribus. Porro dolor voluptatum voluptates neque culpa molestias. Voluptate unde nulla temporibus ullam.", "date": { "$date": { "$numberLong": "1332804016000" } } }
sample_mflix.embedded_movies
This collection contains details on movies with genres
of Western
,
Action
, or Fantasy
. Each document contains a single movie, and
information such as its title, release year, and cast.
In addition, documents in this collection include a plot_embedding
field that contains embeddings created using OpenAI's
text-embedding-ada-002
embedding model
that you can use with Atlas Vector Search.
Indexes
This collection contains the following indexes:
Name | Index | Description |
---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. |
Sample Document
Note
The number of dimensions in the sample have been truncated for readability.
{ "_id": { "$oid": "573a1396f29313caabce582d" }, "plot": "A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.", "genres": ["Action", "Adventure", "Comedy"], "runtime": { "$numberInt": "106" }, "rated": "PG", "cast": ["Oliver Reed", "Raquel Welch", "Richard Chamberlain", "Michael York"], "num_mflix_comments": { "$numberInt": "0" }, "poster": "https://m.media-amazon.com/images/M/MV5BODQwNmI0MDctYzA5Yy00NmJkLWIxNGMtYzgyMDBjMTU0N2IyXkEyXkFqcGdeQXVyMjI4MjA5MzA@._V1_SY1000_SX677_AL_.jpg", "title": "The Three Musketeers", "lastupdated": "2015-09-16 06:21:07.210000000", "languages": ["English"], "released": { "$date": { "$numberLong": "133747200000" } }, "directors": ["Richard Lester"], "writers": ["George MacDonald Fraser (screenplay)", "Alexandre Dumas père (novel)"], "awards": { "wins": { "$numberInt": "4" }, "nominations": { "$numberInt": "7" }, "text": "Won 1 Golden Globe. Another 3 wins & 7 nominations." }, "year": { "$numberInt": "1973" }, "imdb": { "rating": { "$numberDouble": "7.3" }, "votes": { "$numberInt": "11502" }, "id": { "$numberInt": "72281" } }, "countries": ["Spain", "USA", "Panama", "UK"], "type": "movie", "tomatoes": { "viewer": { "rating": { "$numberDouble": "3.5" }, "numReviews": { "$numberInt": "9600" }, "meter": { "$numberInt": "78" } }, "dvd": { "$date": { "$numberLong": "982022400000" } }, "critic": { "rating": { "$numberDouble": "7.1" }, "numReviews": { "$numberInt": "11" }, "meter": { "$numberInt": "82" } }, "lastUpdated": { "$date": { "$numberLong": "1441307415000" } }, "rotten": { "$numberInt": "2" }, "production": "Live Home Video", "fresh": { "$numberInt": "9" } }, "plot_embedding": [ -0.004237316, -0.022958077, -0.005921211, -0.020323543, 0.010051459 ] }
sample_mflix.movies
This collection contains details on movies. Each document contains a single movie, and information such as its title, release year, and cast.
Indexes
This collection contains the following indexes:
Name | Index | Description | Properties |
---|---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. | |
cast_text_fullplot_text_genres_text_title_text | {
"_fts": "text",
"_ftsx": 1
} |
Sample Document
{ "_id": { "$oid": "573a1390f29313caabcd413b" }, "title": "The Arrival of a Train", "year": { "$numberInt": "1896" }, "runtime": { "$numberInt": "1" }, "released": { "$date": { "$numberLong": "-2335219200000" } }, "poster": "http://ia.media-imdb.com/images/M/MV5BMjEyNDk5MDYzOV5BMl5BanBnXkFtZTgwNjIxMTEwMzE@._V1_SX300.jpg", "plot": "A group of people are standing in a straight line along the platform of a railway station, waiting for a train, which is seen coming at some distance. When the train stops at the platform, ...", "fullplot": "A group of people are standing in a straight line along the platform of a railway station, waiting for a train, which is seen coming at some distance. When the train stops at the platform, the line dissolves. The doors of the railway-cars open, and people on the platform help passengers to get off.", "lastupdated": "2015-08-15 00:02:53.443000000", "type": "movie", "directors": [ "Auguste Lumière", "Louis Lumière" ], "imdb": { "rating": { "$numberDouble": "7.3" }, "votes": { "$numberInt": "5043" }, "id": { "$numberInt": "12" } }, "cast": [ "Madeleine Koehler" ], "countries": [ "France" ], "genres": [ "Documentary", "Short" ], "tomatoes": { "viewer": { "rating": { "$numberDouble": "3.7" }, "numReviews": { "$numberInt": "59" } }, "lastUpdated": { "$date": { "$numberLong": "1441993589000" } } }, "num_mflix_comments": { "$numberInt": "1" } }
sample_mflix.sessions
This collection contains metadata about users. Each document contains a user and their corresponding JSON Web Token
Indexes
This collection contains the following indexes:
Name | Index | Description | Properties |
---|---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. | |
user_id_1 | { "user_id" : 1} | Ascending index on the user_id field. |
Sample Document
{ "_id": { "$oid": "5a98348755593fdf68350932" }, "user_id": "bfb9vc1zz@xhasq.5h9", "jwt": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9..." }
sample_mflix.theaters
This collection contains movie theater locations. Each document contains a single movie theater and its location in both string and GeoJSON forms.
Indexes
Name | Index | Description | Properties |
---|---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. | |
geo index | { "location.geo": "2dsphere" } | Geospatial index on the
location.geo field. |
Sample Document
{ "_id": { "$oid": "59a47286cfa9a3a73e51e72c" }, "theaterId": { "$numberInt": "1000" }, "location": { "address": { "street1": "340 W Market", "city": "Bloomington", "state": "MN", "zipcode": "55425" }, "geo": { "type": "Point", "coordinates": [ { "$numberDouble": "-93.24565" }, { "$numberDouble": "44.85466" } ] } } }
sample_mflix.users
This collection contains information on mflix
users. Each
document contains a single user, and their name, email, and
password.
Indexes
Name | Index | Description | Properties |
---|---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. | |
email_1 | { "email: 1 } | Unique, ascending index on the email field. |
Sample Document
{ "_id": { "$oid": "59b99db4cfa9a34dcd7885b6" }, "name": "Ned Stark", "email": "sean_bean@gameofthron.es", "password": "$2b$12$UREFwsRUoyF0CRqGNK0LzO0HM/jLhgUCNNIJ9RJAqMUQ74crlJ1Vu" }