# Dataset Card for "tv_dialogue"

This dataset contains transcripts for famous movies and TV shows from multiple sources.

An example dialogue would be:
```
[PERSON 1] Hello
[PERSON 2] Hello Person 2!
How's it going?

(they are both talking)

[PERSON 1] I like being an example
on Huggingface!

They are examples on Huggingface.
CUT OUT TO ANOTHER SCENCE

We are somewhere else
[PERSON 1 (v.o)] I wonder where we are?
```

All dialogues were processed to follow this format. Each row is a single episode / movie (**2781** rows total)
following the [OpenAssistant](https://open-assistant.io/) format. The METADATA column contains dditional information as a JSON string.

## Dialogue only, with some information on the scene

| Show | Number of scripts | Via | Source |
|----|----|---|---|
| Friends | 236 episodes | https://github.com/emorynlp/character-mining | friends/emorynlp |
| The Office | 186 episodes | https://www.kaggle.com/datasets/nasirkhalid24/the-office-us-complete-dialoguetranscript | office/nasirkhalid24 |
| Marvel Cinematic Universe | 18 movies | https://www.kaggle.com/datasets/pdunton/marvel-cinematic-universe-dialogue | marvel/pdunton |
| Doctor Who | 306 episodes | https://www.kaggle.com/datasets/jeanmidev/doctor-who | drwho/jeanmidev |
| Star Trek | 708 episodes | http://www.chakoteya.net/StarTrek/index.html based on https://github.com/GJBroughton/Star_Trek_Scripts/ | statrek/chakoteya |

## Actual transcripts with detailed information on the scenes

| Show | Number of scripts | Via | Source |
|----|----|---|---|
| Top Movies | 919 movies | https://imsdb.com/ | imsdb |
| Top Movies | 171 movies | https://www.dailyscript.com/ | dailyscript |
| Stargate SG-1 | 18 episodes | https://imsdb.com/ | imsdb |
| South Park | 129 episodes |  https://imsdb.com/ | imsdb |
| Knight Rider | 80 episodes | http://www.knightriderarchives.com/ | knightriderarchives |
task_categories:conversational task_categories:text2text-generation task_categories:text-generation size_categories:1K<n<10K language:en license:mit OpenAssistant transcripts subtitles television 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", "dataset_info": {"features": [{"name": "TEXT", "dtype": "string"}, {"name": "METADATA", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 211728118, "num_examples": 2781}], "download_size": 125187885, "dataset_size": 211728118}, "tags": ["OpenAssistant", "transcripts", "subtitles", "television"]}
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 #region-us 

Dataset Card for "tv\_dialogue"
===============================


This dataset contains transcripts for famous movies and TV shows from multiple sources.


An example dialogue would be:


All dialogues were processed to follow this format. Each row is a single episode / movie (2781 rows total)
following the OpenAssistant format. The METADATA column contains dditional information as a JSON string.


Dialogue only, with some information on the scene
-------------------------------------------------



Actual transcripts with detailed information on the scenes
----------------------------------------------------------




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 #region-us 
