# 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](https://open-assistant.io/) 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](https://huggingface.co/datasets/sedthh/tv_dialogue) for Friends, The Office, Doctor Who, South Park and some movies. 
task_categories:conversational task_categories:text2text-generation task_categories:text-generation size_categories:1K<n<10K language:en license:mit OpenAssistant transcripts subtitles television foreverdreaming region:us
{"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "text2text-generation", "text-generation"], "pretty_name": "TV and Movie dialogue and transcript corpus from ForeverDreaming", "dataset_info": {"features": [{"name": "TEXT", "dtype": "string"}, {"name": "METADATA", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 170341941, "num_examples": 5380}], "download_size": 97327300, "dataset_size": 170341941}, "tags": ["OpenAssistant", "transcripts", "subtitles", "television", "foreverdreaming"]}
TAGS
#task_categories-conversational #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #OpenAssistant #transcripts #subtitles #television #foreverdreaming #region-us 

Dataset Card for "fd\_dialogue"
===============================


This dataset contains transcripts for famous movies and TV shows from URL


The dataset contains only a small portion of Forever Dreaming's data, as only transscripts with a clear dialogue format are included, such as:


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.



An additional 36 movies with transcripts are also included:


Note that there could be overlaps with the TV dialogue dataset for Friends, The Office, Doctor Who, South Park and some movies.



TAGS
#task_categories-conversational #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #OpenAssistant #transcripts #subtitles #television #foreverdreaming #region-us 

passage: TAGS
#task_categories-conversational #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #language-English #license-mit #OpenAssistant #transcripts #subtitles #television #foreverdreaming #region-us 
