# Dataset Card for Open Assistant Cornell Movies Dialog 

## Dataset Summary

The dataset was created using [Cornell Movies Dialog Corpus](https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html) which contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts.
Dialogs and meta-data from the underlying Corpus were used to design a dataset that can be used to InstructGPT based models to learn movie scripts.

Example :

```
User: Assume RICK and ALICE are characters from a fantasy-horror movie, continue the conversation between them
    RICK: I heard you screaming.  Was it a bad one?
    ALICE: It was bad.
    RICK: Doesn't the dream master work for you anymore?
Assistant: Sure
    ALICE: I can't find him.
    RICK: Hey, since when do you play Thomas Edison?  This looks like Sheila's.
    ALICE: It is...was. It's a zapper, it might help me stay awake.
    RICK: Yeah, or turn you into toast.
```



## Citations
```
@InProceedings{Danescu-Niculescu-Mizil+Lee:11a,
  author={Cristian Danescu-Niculescu-Mizil and Lillian Lee},
  title={Chameleons in imagined conversations:
  A new approach to understanding coordination of linguistic style in dialogs.},
  booktitle={Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, ACL 2011},
  year={2011}
}
```
region:us
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TAGS
#region-us 

# Dataset Card for Open Assistant Cornell Movies Dialog 

## Dataset Summary

The dataset was created using Cornell Movies Dialog Corpus which contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts.
Dialogs and meta-data from the underlying Corpus were used to design a dataset that can be used to InstructGPT based models to learn movie scripts.

Example :





s

# Dataset Card for Open Assistant Cornell Movies Dialog ## Dataset Summary

The dataset was created using Cornell Movies Dialog Corpus which contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts.
Dialogs and meta-data from the underlying Corpus were used to design a dataset that can be used to InstructGPT based models to learn movie scripts.

Example :





s
TAGS
#region-us 
 # Dataset Card for Open Assistant Cornell Movies Dialog ## Dataset Summary

The dataset was created using Cornell Movies Dialog Corpus which contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts.
Dialogs and meta-data from the underlying Corpus were used to design a dataset that can be used to InstructGPT based models to learn movie scripts.

Example :





s
passage: TAGS
#region-us 
# Dataset Card for Open Assistant Cornell Movies Dialog## Dataset Summary

The dataset was created using Cornell Movies Dialog Corpus which contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts.
Dialogs and meta-data from the underlying Corpus were used to design a dataset that can be used to InstructGPT based models to learn movie scripts.

Example :





s