README.md

---
license: openrail
task_categories:
- question-answering
- image-to-text
size_categories:
- n<1K
configs:
- config_name: last
  data_files: data/last/*
- config_name: previous
  data_files: data/previous/*
language:
- en
tags:
- art
---
# Dataset Card for But They Are Cats Tutorials

<!-- Provide a quick summary of the dataset. -->

This dataset is presented and used in [Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment](https://arxiv.org/abs/2408.08396).

## Dataset Details

<!-- Provide a longer summary of what this dataset is. -->
The dataset is designed for Visual Question answering. It is composed of game screenshots, questions, and answers.
The questions and the answers are direct to provide a more effective evaluation independent of the syntax.

<img width="50%" height="50%" src="data/last/3_00-32.png">

**Question**: "Do distractions affect the cats in the same way?" **Answer**: "The distraction affects the types of cats in different ways."

We provided two versions of the game after developers ran human testing.
The dataset can be loaded:
```python
# Latest Version
load_dataset("DarthReca/but-they-are-cats-tutorial", name="last")
# Previous Version
load_dataset("DarthReca/but-they-are-cats-tutorial", name="previous")
```

- **Curated by:** Daniele Rege Cambrin
- **License:** OPENRAIL

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

The dataset is intended to evaluate the quality of scene explanations from both textual and visual aspects. 
It is not designed to benchmark Visual-Language models since some scenes could be ambiguous or unclear.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The dataset has the following format:
```bash
{
  image: Image,
  question: List[Text]
  answer: List[Text]
}
```

## Dataset Creation
The dataset comprises videos, frames, and textual annotations in the form of questions and answers.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
Daniele Rege Cambrin records all the videos in both versions to grant a similar way of playing [But They Are Cats](https://thefellowshipofthebox.itch.io/but-they-are-cats).
The frames are extracted from these videos when something "relevant" happens. 
The two versions are selected between all possible commits to balancing similarities and differences for a fairer evaluation.

### Annotations

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

One of the developers (Daniele Rege Cambrin) provides the annotation to ensure maximum adherence to the actual developer's expectations.
The same person also does the frame selection.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

A single user creates the annotations and could be biased towards his vision of the game. 
The game itself does not represent all possible scenarios in game development, and careful evaluation should be performed in other scenarios.
The game is an unfinished prototype and should be considered when compared to a finished product.
The recorded tutorials do not cover all possible user interactions and should not be used for bug searching.

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```bibtex
@misc{cambrin2024leveltutorialsvlmsgame,
      title={Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment}, 
      author={Daniele Rege Cambrin and Gabriele Scaffidi Militone and Luca Colomba and Giovanni Malnati and Daniele Apiletti and Paolo Garza},
      year={2024},
      eprint={2408.08396},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2408.08396}, 
}
```