rated stringclasses 12
values | writers sequence | runtime float64 7 1.26k ⌀ | num_mflix_comments int64 0 158 | title stringlengths 1 66 | cast sequence | plot stringlengths 35 354 | directors sequence | type stringclasses 2
values | fullplot stringlengths 51 2.73k | languages sequence | awards dict | imdb dict | plot_embedding sequence | metacritic float64 12 97 ⌀ | countries sequence | genres sequence | poster stringlengths 104 157 ⌀ | __index_level_0__ int64 0 1.05k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PG | [
"Christopher Wood (screenplay)"
] | 126 | 0 | Moonraker | [
"Roger Moore",
"Lois Chiles",
"Michael Lonsdale",
"Richard Kiel"
] | James Bond investigates the mid-air theft of a space shuttle and discovers a plot to commit global genocide. | [
"Lewis Gilbert"
] | movie | James Bond is back for another mission and this time, he is blasting off into space. A spaceship traveling through space is mysteriously hi-jacked and Bond must work quickly to find out who was behind it all. He starts with the rockets creators, Drax Industries and the man behind the organisation, Hugo Drax. On his journey he ends up meeting Dr. Holly Goodhead and encounters the metal-toothed Jaws once again. | [
"English",
"Italian",
"Portuguese"
] | {
"nominations": 4,
"text": "Nominated for 1 Oscar. Another 1 win & 4 nominations.",
"wins": 2
} | {
"id": 79574,
"rating": 6.3,
"votes": 62790
} | [
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-0.... | null | [
"France",
"UK"
] | [
"Action",
"Adventure",
"Thriller"
] | 0 | |
PG | [
"Kevin Eastman (based on characters created by)",
"Peter Laird (based on characters created by)",
"Stuart Gillard"
] | 96 | 0 | Teenage Mutant Ninja Turtles III | [
"Elias Koteas",
"Paige Turco",
"Stuart Wilson",
"Sab Shimono"
] | The turtles find themselves transported back in time to ancient Japan. | [
"Stuart Gillard"
] | movie | The four turtles travel back in time to the days of the legendary and deadly samurai in ancient Japan, where they train to perfect the art of becoming one. The turtles also assist a small village in an uprising. | [
"English"
] | {
"nominations": 0,
"text": "1 win.",
"wins": 1
} | {
"id": 108308,
"rating": 4.8,
"votes": 23246
} | [
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... | null | [
"USA",
"Hong Kong"
] | [
"Action",
"Adventure",
"Comedy"
] | 1 | |
null | [
"Douglas Fairbanks (story)",
"Jack Cunningham (adapted by)"
] | 88 | 1 | The Black Pirate | [
"Billie Dove",
"Tempe Pigott",
"Donald Crisp",
"Sam De Grasse"
] | Seeking revenge, an athletic young man joins the pirate band responsible for his father's death. | [
"Albert Parker"
] | movie | A nobleman vows to avenge the death of his father at the hands of pirates. To this end he infiltrates the pirate band. Acting in character he is instrumental in the capture of a ship, but things are complicated when he finds that there is a young woman on board whom he wishes to protect from the threat of rape. | null | {
"nominations": 0,
"text": "1 win.",
"wins": 1
} | {
"id": 16654,
"rating": 7.2,
"votes": 1146
} | [
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-0.014253421,
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0.0024... | null | [
"USA"
] | [
"Adventure",
"Action"
] | 2 | |
R | [
"Robert Drewe (novel)",
"John Michael McDonagh (screenplay)"
] | 110 | 0 | Ned Kelly | [
"Heath Ledger",
"Orlando Bloom",
"Geoffrey Rush",
"Naomi Watts"
] | An innocent man becomes one of the most wanted criminals the world has ever known. | [
"Gregor Jordan"
] | movie | Though recognized for heroism as a lad, Ned Kelly can not escape the stigma of being the eldest of a brood sired by a known criminal. In days when an arrest equaled guilt and a conviction, his unfair imprisonment for horse thievery puts him steadfast, in the eyes of Victorian police, on the wrong side of things for life. With a sister unable to dissuade the unwanted advances of Constable Fitzpatrick, Ned, his brother Dan, and friends Joe Byrne and Steve Hart soon find themselves labeled "an outlaw gang" by the less-than-honorable constable. It's a designation they're apt to live up to after Ned's mother is unfairly arrested and sentenced to three years hard labor. In retaliation, the Kelly Gang strikes out against the oppressive Victorian government, with ultimately tragic results and passage into Australian folklore. | [
"English"
] | {
"nominations": 14,
"text": "3 wins & 14 nominations.",
"wins": 3
} | {
"id": 277941,
"rating": 6.5,
"votes": 20400
} | [
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-0... | 56 | [
"Australia",
"UK",
"USA",
"France"
] | [
"Action",
"Adventure",
"Biography"
] | 3 | |
PG | [
"Alexandre Dumas père (novel)",
"David Loughery (screenplay)"
] | 105 | 0 | The Three Musketeers | [
"Charlie Sheen",
"Kiefer Sutherland",
"Chris O'Donnell",
"Oliver Platt"
] | The three best of the disbanded Musketeers - Athos, Porthos, and Aramis - join a young hotheaded would-be-Musketeer, D'Artagnan, to stop the Cardinal Richelieu's evil plot: to form an ... | [
"Stephen Herek"
] | movie | The three best of the disbanded Musketeers - Athos, Porthos, and Aramis - join a young hotheaded would-be-Musketeer, D'Artagnan, to stop the Cardinal Richelieu's evil plot: to form an alliance with enemy England by way of the mysterious Milady. Rochefort, the Cardinal's right-hand man, announces the official disbanding of the King's Musketeers. Three, however, refuse to throw down their swords - Athos the fighter and drinker, Porthos the pirate and lover, and Aramis the priest and poet. Arriving in Paris to join the Musketeers, D'Artagnan uncovers the Cardinal's plans, and the four set out on a mission to protect King and Country. | [
"English"
] | {
"nominations": 3,
"text": "2 wins & 3 nominations.",
"wins": 2
} | {
"id": 108333,
"rating": 6.3,
"votes": 38981
} | [
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... | null | [
"Austria",
"UK",
"USA"
] | [
"Action",
"Adventure",
"Comedy"
] | 4 | |
R | [
"Keenen Ivory Wayans"
] | 99 | 0 | Most Wanted | [
"Keenen Ivory Wayans",
"Robert Kotecki",
"Rick Cramer",
"Kenn Whitaker"
] | A Marine on death row is recruited by a shadowy U.S. military officer as part of a top-secret ops team, then gets framed for murder when the team and it's officer set him up as the fall guy for the assassination of the First Lady. | [
"David Hogan"
] | movie | Sgt. James Dunn, who is wrongly accused of assassination of the officer he had a row with, is saved from death row and recruited for top-secret special operations squad led by Lt. Col Grant Casey. Their mission is to neutralize criminals who had avoided conventional law enforcement methods. On his first Mission, James is made the fall guy for the assassination of the first lady and everyone is looking for him and Dr. Victoria Constantini who was lucky to videotape what happened. One of the forces looking for him is military, led by Gen. Adam Woodward, which is in fact an alias for Grant Casey. | [
"English"
] | {
"nominations": 1,
"text": "1 nomination.",
"wins": 0
} | {
"id": 119709,
"rating": 5.5,
"votes": 4710
} | [
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0.... | null | [
"USA"
] | [
"Action",
"Thriller"
] | 5 | |
null | null | 175 | 1 | Helen of Troy | [
"Sienna Guillory",
"Matthew Marsden",
"Rufus Sewell",
"John Rhys-Davies"
] | The abduction of beautiful Helen, wife of Spartan King Menelaus, by Paris of Troy triggers a long war. | null | series | The abduction of beautiful Helen, wife of Spartan King Menelaus, by Paris of Troy triggers a long war. | [
"English"
] | {
"nominations": 6,
"text": "Nominated for 1 Primetime Emmy. Another 1 win & 6 nominations.",
"wins": 2
} | {
"id": 340477,
"rating": 6.3,
"votes": 5153
} | [
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-0.01130419,
-0.00... | null | [
"USA"
] | [
"Action",
"Adventure",
"Drama"
] | 6 | |
PG-13 | [
"Bragi F. Schut"
] | 95 | 0 | Season of the Witch | [
"Nicolas Cage",
"Ron Perlman",
"Stephen Campbell Moore",
"Stephen Graham"
] | 14th-century knights transport a suspected witch to a monastery, where monks deduce her powers could be the source of the Black Plague. | [
"Dominic Sena"
] | movie | A 14th century Crusader returns to a homeland devastated by the Black Plague. A beleaguered church, deeming sorcery the culprit of the plague, commands the two knights to transport an accused witch to a remote abbey, where monks will perform a ritual in hopes of ending the pestilence. A priest, a grieving knight, a disgraced itinerant and a headstrong youth who can only dream of becoming a knight join a mission troubled by mythically hostile wilderness and fierce contention over the fate of the girl. When the embattled party arrives at the abbey, a horrific discovery jeopardises the knight's pledge to ensure the girl fair treatment, and pits them against an inexplicably powerful and destructive force. | [
"English",
"Latin"
] | {
"nominations": 2,
"text": "2 nominations.",
"wins": 0
} | {
"id": 479997,
"rating": 5.4,
"votes": 71597
} | [
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0.0441244,
0.0018692868,
-0.006392499,
-0.015785089,
0.... | 28 | [
"USA"
] | [
"Action",
"Adventure",
"Fantasy"
] | 7 | |
R | [
"Ehren Kruger"
] | 104 | 1 | Reindeer Games | [
"Ben Affleck",
"James Frain",
"Dana Stubblefield",
"Mark Acheson"
] | After assuming his dead cellmate's identity to get with his girlfriend, an ex-con finds himself the reluctant participant in a casino heist. | [
"John Frankenheimer"
] | movie | After being imprisoned for six years on a grand theft auto charge, Rudy Duncan (Ben Affleck) and his cellmate Nick (James Frain) are finally going to be paroled. After hearing endless stories during his incarceration of Nick's romantic correspondence to a woman named Ashley he has never met (Charlize Theron), Rudy is looking forward to returning to his family and having a fresh cup of hot chocolate. When Nick is killed during a prison riot, Rudy decides to assume Nick's identity upon release from prison and meet up with the unknown woman. Burdened with a base knowledge of Nick's Indian casino employment past, Rudy finds himself in too deep with Ashley's brother Gabriel (Gary Sinise) and is violently forced to cooperate with a casino robbery that Gabriel and his gang have been planning with Nick in mind. | [
"English"
] | {
"nominations": 3,
"text": "3 nominations.",
"wins": 0
} | {
"id": 184858,
"rating": 5.7,
"votes": 29531
} | [
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... | 37 | [
"USA"
] | [
"Action",
"Crime",
"Drama"
] | 8 | |
PG-13 | ["Fran Walsh (screenplay)","Philippa Boyens (screenplay)","Peter Jackson (screenplay)","Merian C. Co(...TRUNCATED) | 187 | 144 | King Kong | [
"Naomi Watts",
"Jack Black",
"Adrien Brody",
"Thomas Kretschmann"
] | "In 1933 New York, an overly ambitious movie producer coerces his cast and hired ship crew to travel(...TRUNCATED) | [
"Peter Jackson"
] | movie | "Carl Denham needs to finish his movie and has the perfect location; Skull Island. But he still need(...TRUNCATED) | [
"English"
] | {
"nominations": 70,
"text": "Won 3 Oscars. Another 39 wins & 70 nominations.",
"wins": 42
} | {
"id": 360717,
"rating": 7.3,
"votes": 294302
} | [-0.014575915,-0.047844805,0.01621251,-0.0393294,-0.005788812,0.0035193164,-0.014038908,0.0030941856(...TRUNCATED) | 81 | [
"New Zealand",
"USA",
"Germany"
] | [
"Action",
"Adventure",
"Drama"
] | "https://m.media-amazon.com/images/M/MV5BMjYxYmRlZWYtMzAwNC00MDA1LWJjNTItOTBjMzlhNGMzYzk3XkEyXkFqcGd(...TRUNCATED) | 9 |
End of preview. Expand in Data Studio
This dataset was created from the HuggingFace dataset AIatMongoDB/embedded_movies
Why was it needed?
- The original dataset is close to 25 GB, for learning and experiments it is an overkill
- Data in the dataset needs to be cleaned up e.g., some features are Null that requires extra care
- Some of the embeddings are missing
How to use?
- Use for sentiment analysis
- Text similarity (plot)
- Embeddings : ready to use with vector DB & search libraries
dataset_info: features: - name: rated dtype: string - name: writers sequence: string - name: runtime dtype: float64 - name: num_mflix_comments dtype: int64 - name: title dtype: string - name: cast sequence: string - name: plot dtype: string - name: directors sequence: string - name: type dtype: string - name: fullplot dtype: string - name: languages sequence: string - name: awards struct: - name: nominations dtype: int64 - name: text dtype: string - name: wins dtype: int64 - name: imdb struct: - name: id dtype: int64 - name: rating dtype: float64 - name: votes dtype: int64 - name: plot_embedding sequence: float64 - name: metacritic dtype: float64 - name: countries sequence: string - name: genres sequence: string - name: poster dtype: string - name: index_level_0 dtype: int64 splits: - name: train num_bytes: 13791171 num_examples: 1021 - name: test num_bytes: 5811892 num_examples: 430 download_size: 19323013 dataset_size: 19603063 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: mit task_categories: - text-classification - question-answering - zero-shot-classification - sentence-similarity - fill-mask - text-to-speech language: - en tags: - movies - embeddings - sentiment analysis pretty_name: Movies data with plot-embeddings size_categories: - 10M<n<100M
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