task_categories:text-generation task_categories:conversational size_categories:n<1K language:en region:us
---
language:
- en
size_categories:
- n<1K
task_categories:
- text-generation
- conversational
---
[Original Dataset](https://www.kaggle.com/datasets/josephvm/futurama-seasons-16-transcripts?select=only_spoken_text.csv)

114 episodes. WIP formatting as with LLaMa, it's like 4000+ tokens each.

I would like to augment the instruction, and also possibly input a summary.

I also want to make a set that includes multiple tv shows. Just not sure how I wanna go about reformatting all this to fit into smaller chunks like 512 tokens, while still understanding the context of being and instruction but the episode at the same time.

```
Instruction: `Generate an episode of Futurama.`
Input: `{Episode Name} - {Episode Synopsis}`
Output: `{Episode Dialog In Chat Format}`
```