updated readme for new data
Browse files- udpated dataset and its data card
README.md
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- name: train
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num_examples:
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license: mit
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task_categories:
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- conversational
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This dataset contains transcripts for famous movies and TV shows from https://transcripts.foreverdreaming.org/
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The dataset contains only a small portion of
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Only scripts with the following format are included:
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```
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PERSON 1: Hello
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PERSON 1: What happened?
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```
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Each row in the dataset is a single episode
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| Show | Count |
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|----|----|
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| Agents of S.H.I.E.L.D. | 9 |
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| Alias | 102 |
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| Angel | 64 |
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| Breaking Bad | 27 |
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| Buffy the Vampire Slayer | 113 |
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| Charmed | 176 |
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| Dawson's Creek | 128 |
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| Degrassi Next Generation |
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| Downton Abbey | 18 |
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| Gilmore Girls | 149 |
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| Grey's Anatomy | 75 |
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| Roswell | 60 |
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| Salem |
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| Sherlock | 8 |
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| Skins |
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| Smallville | 190 |
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| Sons of Anarchy | 55 |
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| Teen Wolf | 58 |
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| The Big Bang Theory | 183 |
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| The O.C. | 92 |
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| The Originals | 45 |
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| The X-Files | 3 |
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| Torchwood |
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dtype: string
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splits:
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- name: train
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num_bytes: 168860477
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num_examples: 5328
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download_size: 96479923
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dataset_size: 168860477
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license: mit
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task_categories:
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- conversational
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This dataset contains transcripts for famous movies and TV shows from https://transcripts.foreverdreaming.org/
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The dataset contains **only a small portion of Forever Dreaming's data**, as only transscripts with a clear dialogue format are included, such as:
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```
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PERSON 1: Hello
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PERSON 1: What happened?
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```
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Each row in the dataset is a single TV episode or movie. (**5381** rows total) following the [OpenAssistant](https://open-assistant.io/) format.
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The METADATA column contains *type* (movie or series), *show* and the *episode* ("" for movies) keys and string values as a JSON string.
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| Show | Count |
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|----|----|
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| A Discovery of Witches | 6 |
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| Agents of S.H.I.E.L.D. | 9 |
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| Alias | 102 |
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| Angel | 64 |
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| Bones | 114 |
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| Boy Meets World | 24 |
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| Breaking Bad | 27 |
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| Brooklyn Nine-Nine | 8 |
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| Buffy the Vampire Slayer | 113 |
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| CSI: Crime Scene Investigation | 164 |
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| Charmed | 176 |
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| Children/Disney | 4 |
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| Childrens Hospital | 18 |
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| Christmas & New Year's | 10 |
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| Chuck | 17 |
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| Crossing Jordan | 23 |
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| Dawson's Creek | 128 |
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| Degrassi Next Generation | 113 |
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| Doctor Who | 699 |
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| Doctor Who Special | 21 |
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| Doctor Who_ | 108 |
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| Downton Abbey | 18 |
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| Dragon Ball Z Kai | 57 |
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| FRIENDS | 227 |
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| Foyle's War | 28 |
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| Friday Night Lights | 7 |
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| Game of Thrones | 6 |
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| Gilmore Girls | 149 |
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| Gintama | 41 |
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| Glee | 11 |
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| Gossip Girl | 5 |
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| Greek | 33 |
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| Grey's Anatomy | 75 |
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| Growing Pains | 116 |
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| Hannibal | 4 |
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| Heartland | 3 |
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| Hell on Wheels | 3 |
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| House | 153 |
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| How I Met Your Mother | 133 |
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| JoJo's Bizarre Adventure | 42 |
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| Justified | 46 |
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| Keeping Up With the Kardashians | 8 |
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| Lego Ninjago: Masters of Spinjitzu | 12 |
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| London Spy | 5 |
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| Lost | 117 |
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| Lucifer | 3 |
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| Married | 9 |
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| Mars | 6 |
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| Merlin | 58 |
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| My Little Pony: Friendship is Magic | 15 |
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| NCIS | 91 |
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| New Girl | 3 |
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| Once Upon A Time | 79 |
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| One Tree Hill | 163 |
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| Open Heart | 8 |
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| Pretty Little Liars | 4 |
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| Prison Break | 23 |
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| Queer As Folk | 38 |
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| Reign | 9 |
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| Roswell | 60 |
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| Salem | 23 |
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| Scandal | 7 |
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| Schitt's Creek | 4 |
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| Scrubs | 29 |
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| Sequels/Trilogies/Sagas | 9 |
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| Sex and the City | 4 |
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| Sherlock | 8 |
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| Skins | 20 |
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| Smallville | 190 |
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| Sons of Anarchy | 55 |
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| South Park | 84 |
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| Spy × Family | 12 |
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| StarTalk | 6 |
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| Sugar Apple Fairy Tale | 5 |
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| Superhero's | 3 |
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| Supernatural | 114 |
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| Teen Wolf | 58 |
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| That Time I Got Reincarnated As A Slime | 22 |
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| The 100 | 3 |
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| The 4400 | 16 |
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| The Amazing World of Gumball | 4 |
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| The Big Bang Theory | 183 |
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| The L Word | 3 |
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| The Mentalist | 38 |
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| The Nanny | 8 |
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| The O.C. | 92 |
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| The Office | 195 |
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| The Originals | 45 |
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| The Secret Life of an American Teenager | 18 |
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| The Simpsons | 14 |
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| The Vampire Diaries | 121 |
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| The Walking Dead | 12 |
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| The X-Files | 3 |
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| Torchwood | 31 |
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| Trailer Park Boys | 10 |
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| True Blood | 33 |
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| Tyrant | 6 |
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| Valentine/Romance | 4 |
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| Veronica Mars | 59 |
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| Vikings | 7 |
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An additional 36 movies with transcripts are also included:
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```
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Pokémon the Movie: Hoopa and the Clash of Ages (2015)
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Frozen (2013)
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Home Alone
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Lego Batman Movie, The (2017)
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Disenchanted ( 2022)
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Nightmare Before Christmas, The
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Goonies, The (1985)
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Polar Express, The (2004)
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Frosty the Snowman (1969)
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The Truth About Christmas (2018)
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A Miser Brothers' Christmas (2008)
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Powerpuff Girls: 'Twas the Fight Before Christmas, The (2003)
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Tis the Season (2015)
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Jingle Hell (2000)
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Corpse Party: Book of Shadows (2016)
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Mummy, The (1999)
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Knock Knock (2015)
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Dungeons and Dragons , Honour among thieves ( 2023)
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w*r of the Worlds (2005)
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Harry Potter and the Sorcerer's Stone
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Twilight Saga, The: Breaking Dawn Part 2
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Twilight Saga, The: Breaking Dawn Part 1
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Twilight Saga, The: Eclipse
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Godfather, The (1972)
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Transformers (2007)
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Creed 3 (2023)
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Creed (2015)
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Lethal w*apon 3 (1992)
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Spider-Man 2 (2004)
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Spider-Man: No Way Home (2021)
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Black Panther Wakanda Forever ( 2022)
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Money Train (1995)
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Happys, The (2016)
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Paris, Wine and Romance (2019)
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Angel Guts: Red p*rn (1981)
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Butterfly Crush (2010)
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```
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Note that there could be overlaps with the [TV dialogue dataset](https://huggingface.co/datasets/sedthh/tv_dialogue) for Friends, The Office, Doctor Who, South Park and some movies.
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