--- 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 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 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. **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 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 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 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 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 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 **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}, } ```