Sample Mflix Dataset

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Collections

sample_mflix.comments
sample_mflix.embedded_movies
sample_mflix.movies
sample_mflix.sessions
sample_mflix.theaters
sample_mflix.users

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
comments	Contains comments associated with specific movies.
embedded_movies	Contains information about movies in the `Western`, `Action`, and `Fantasy` genres from `sample_mflix.movies` collection with an added `plot_embedding` field that embeddings created using OpenAI's `text-embedding-ada-002` embedding model that you can use that you can query with Atlas Search vector search.
movies	Contains movie information, including release year, director, and reviews.
sessions	Metadata field. Contains users' JSON Web Tokens.
theaters	Contains locations of movie theaters.
users	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 the Atlas Search vector search feature.

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 }`	Text index on the `cast`, `fullplot`, `genres`, and `title` fields.	Sparse

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.	Unique

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.	Sparse

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.	Unique

Sample Document

{
  "_id": {
    "$oid": "59b99db4cfa9a34dcd7885b6"
  },
  "name": "Ned Stark",
  "email": "sean_bean@gameofthron.es",
  "password": "$2b$12$UREFwsRUoyF0CRqGNK0LzO0HM/jLhgUCNNIJ9RJAqMUQ74crlJ1Vu"
}

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Sample Mflix Dataset.leafygreen-ui-m0pgrr{-webkit-align-self:center;-ms-flex-item-align:center;align-self:center;padding:0 10px;visibility:hidden;}.leafygreen-ui-a30zj9{color:#889397;vertical-align:middle;margin-top:-2px;}.css-1l4s55v{margin-top:-175px;position:absolute;padding-bottom:2px;}

Collections

sample_mflix.comments

Indexes

Sample Document

sample_mflix.embedded_movies

Indexes

Sample Document

Note

sample_mflix.movies

Indexes

Sample Document

sample_mflix.sessions

Indexes

Sample Document

sample_mflix.theaters

Indexes

Sample Document

sample_mflix.users

Indexes

Sample Document

Sample Mflix Dataset

`sample_mflix.comments`

`sample_mflix.embedded_movies`

`sample_mflix.movies`

`sample_mflix.sessions`

`sample_mflix.theaters`

`sample_mflix.users`