TEXT stringlengths 1.25k 199k | METADATA stringlengths 54 187 | SOURCE stringclasses 1
value |
|---|---|---|
[ Location: Sky Box ]
Clarke (thoughts): I feel the sun on my face. I see trees all around me, scent of wildflowers on a breeze. It's so beautiful. In this moment, I'm not stranded in space. It's been 97 years since a nuclear apocalypse k*lled everyone on Earth, leaving the planet simmering in radiation. Fortunately, ... | {"type": "series", "show": "The 100", "episode": "01x01 - Pilot"} | foreverdreaming |
Clarke: I was born in space. I've never felt the sun on my face, or breathed real air, or floated in the water. None of us have. For three generations, the Ark has kept what's left of the human race alive, but now our home is dying, and we are the last hope of mankind. A hundred prisoners sent on a desperate mission to... | {"type": "series", "show": "The 100", "episode": "01x03 - Earth Kills"} | foreverdreaming |
Clarke: I was born in space. I've never felt the sun on my face, or breathed real air, or floated in the water. None of us have. For three generations, The Ark has kept what's left of the human race alive, but now our home is dying, and we are the last hope of mankind. A hundred prisoners sent on a desperate mission to... | {"type": "series", "show": "The 100", "episode": "01x04 - Murphy's Law"} | foreverdreaming |
Written by SCOTT PETERS and RENE ECHEVARRIA
Directed by YVES SIMENEAU
**March 3rd 1946 Crescent City, California**
A car is parked. Inside are seated a man and woman, and in the back is a young girl. The song 'I'm In Heaven' is playing on the radio.
Mrs Rutledge: Ethan, I don't think it's going to clear up anytime ... | {"type": "series", "show": "The 4400", "episode": "01x01 - The Pilot"} | foreverdreaming |
Written by SCOTT PETERS & RENE ECHEVARRIA
Directed by YVES SIMENEAU
Adam's House
Orson begins to shake the gate and as he does so, the house begins to shake, smashing things inside. The windows blow out and Adam grabs his head as Orson begins to yell. Adam falls to the ground, d*ad, with some glass embedded in his c... | {"type": "series", "show": "The 4400", "episode": "01x02 - Pilot - Part 2"} | foreverdreaming |
Surhumain
(1x03 : The New & Improved Carl Morrissey)
Written by IRA STEVEN BEHR
Directed by HELEN SHAVER
**Previously on The 4400**
Flashbacks to the pilot episode. Introductions of the characters and their sudden arrival
**Present**
Carl, one of the 4400, is working in the fishmongers section of a supermarket. ... | {"type": "series", "show": "The 4400", "episode": "01x03 - New & Improved Carl Morrissey"} | foreverdreaming |
"Modus Operandi\n\n(1x04 : Becoming)\n\nWritten by CRAIG SWEENY\n\nDirected by DAVID STRAITON\n\n**P(...TRUNCATED) | {"type": "series", "show": "The 4400", "episode": "01x04 - Becoming"} | foreverdreaming |
"Persécutions\n\n(1x05 : Trial By f*re)\n\nWritten by ROBERT HEWITT WOLFE\n\nDirected by NICK GOMEZ(...TRUNCATED) | {"type": "series", "show": "The 4400", "episode": "01x05 - Trial By f*re"} | foreverdreaming |
"Ici Commence l'Obscurité\n\n(1x06 : White Light)\n\nWritten by SCOTT PETERS\n\nDirected by TIM HUN(...TRUNCATED) | {"type": "series", "show": "The 4400", "episode": "01x06 - White Light"} | foreverdreaming |
"L'heure du Réveil\n\n(2x01 et 2x02: Wake Up Call)\n\nWritten by CRAIG SWEENY & IRA STEVEN BEH\n\n*(...TRUNCATED) | {"type": "series", "show": "The 4400", "episode": "02x01 - Wake-Up Call - Part 1"} | foreverdreaming |
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for "fd_dialogue"
This dataset contains transcripts for famous movies and TV shows from https://transcripts.foreverdreaming.org/
The dataset contains only a small portion of Forever Dreaming's data, as only transscripts with a clear dialogue format are included, such as:
PERSON 1: Hello
PERSON 2: Hello Person 2!
(they are both talking)
Something else happens
PERSON 1: What happened?
Each row in the dataset is a single TV episode or movie. (5380 rows total) following the OpenAssistant format. The METADATA column contains type (movie or series), show and the episode ("" for movies) keys and string values as a JSON string.
| Show | Count |
|---|---|
| A Discovery of Witches | 6 |
| Agents of S.H.I.E.L.D. | 9 |
| Alias | 102 |
| Angel | 64 |
| Bones | 114 |
| Boy Meets World | 24 |
| Breaking Bad | 27 |
| Brooklyn Nine-Nine | 8 |
| Buffy the Vampire Slayer | 113 |
| CSI: Crime Scene Investigation | 164 |
| Charmed | 176 |
| Childrens Hospital | 18 |
| Chuck | 17 |
| Crossing Jordan | 23 |
| Dawson's Creek | 128 |
| Degrassi Next Generation | 113 |
| Doctor Who | 699 |
| Doctor Who Special | 21 |
| Doctor Who_ | 108 |
| Downton Abbey | 18 |
| Dragon Ball Z Kai | 57 |
| FRIENDS | 227 |
| Foyle's War | 28 |
| Friday Night Lights | 7 |
| Game of Thrones | 6 |
| Gilmore Girls | 149 |
| Gintama | 41 |
| Glee | 11 |
| Gossip Girl | 5 |
| Greek | 33 |
| Grey's Anatomy | 75 |
| Growing Pains | 116 |
| Hannibal | 4 |
| Heartland | 3 |
| Hell on Wheels | 3 |
| House | 153 |
| How I Met Your Mother | 133 |
| JoJo's Bizarre Adventure | 42 |
| Justified | 46 |
| Keeping Up With the Kardashians | 8 |
| Lego Ninjago: Masters of Spinjitzu | 12 |
| London Spy | 5 |
| Lost | 117 |
| Lucifer | 3 |
| Married | 9 |
| Mars | 6 |
| Merlin | 58 |
| My Little Pony: Friendship is Magic | 15 |
| NCIS | 91 |
| New Girl | 3 |
| Once Upon A Time | 79 |
| One Tree Hill | 163 |
| Open Heart | 8 |
| Pretty Little Liars | 4 |
| Prison Break | 23 |
| Queer As Folk | 38 |
| Reign | 9 |
| Roswell | 60 |
| Salem | 23 |
| Scandal | 7 |
| Schitt's Creek | 4 |
| Scrubs | 29 |
| Sex and the City | 4 |
| Sherlock | 8 |
| Skins | 20 |
| Smallville | 190 |
| Sons of Anarchy | 55 |
| South Park | 84 |
| Spy × Family | 12 |
| StarTalk | 6 |
| Sugar Apple Fairy Tale | 5 |
| Supernatural | 114 |
| Teen Wolf | 58 |
| That Time I Got Reincarnated As A Slime | 22 |
| The 100 | 3 |
| The 4400 | 16 |
| The Amazing World of Gumball | 4 |
| The Big Bang Theory | 183 |
| The L Word | 3 |
| The Mentalist | 38 |
| The Nanny | 8 |
| The O.C. | 92 |
| The Office | 195 |
| The Originals | 45 |
| The Secret Life of an American Teenager | 18 |
| The Simpsons | 14 |
| The Vampire Diaries | 121 |
| The Walking Dead | 12 |
| The X-Files | 3 |
| Torchwood | 31 |
| Trailer Park Boys | 10 |
| True Blood | 33 |
| Tyrant | 6 |
| Veronica Mars | 59 |
| Vikings | 7 |
An additional 36 movies with transcripts are also included:
Pokémon the Movie: Hoopa and the Clash of Ages (2015)
Frozen (2013)
Home Alone
Lego Batman Movie, The (2017)
Disenchanted ( 2022)
Nightmare Before Christmas, The
Goonies, The (1985)
Polar Express, The (2004)
Frosty the Snowman (1969)
The Truth About Christmas (2018)
A Miser Brothers' Christmas (2008)
Powerpuff Girls: 'Twas the Fight Before Christmas, The (2003)
Tis the Season (2015)
Jingle Hell (2000)
Corpse Party: Book of Shadows (2016)
Mummy, The (1999)
Knock Knock (2015)
Dungeons and Dragons , Honour among thieves ( 2023)
w*r of the Worlds (2005)
Harry Potter and the Sorcerer's Stone
Twilight Saga, The: Breaking Dawn Part 2
Twilight Saga, The: Breaking Dawn Part 1
Twilight Saga, The: Eclipse
Godfather, The (1972)
Transformers (2007)
Creed 3 (2023)
Creed (2015)
Lethal w*apon 3 (1992)
Spider-Man 2 (2004)
Spider-Man: No Way Home (2021)
Black Panther Wakanda Forever ( 2022)
Money Train (1995)
Happys, The (2016)
Paris, Wine and Romance (2019)
Angel Guts: Red p*rn (1981)
Butterfly Crush (2010)
Note that there could be overlaps with the TV dialogue dataset for Friends, The Office, Doctor Who, South Park and some movies.
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