README.md

metadata

license: mit
task_categories:
  - image-to-text
language:
  - en
tags:
  - video-games
pretty_name: VideoGameBunny Dataset
size_categories:
  - 100K<n<1M

VideoGameBunny Instruction Following Dataset

[Website]

Overview

We present a comprehensive dataset of 185,259 high-resolution images from 413 video games, sourced from YouTube videos. This dataset addresses the lack of game-specific instruction-following data and aims to improve the ability of open-source models to understand and respond to video game content.

Dataset Composition

Our dataset includes various types of instructions generated for these images using different large multimodal models:

1. Short captions
2. Long captions
3. Image-to-JSON conversions
4. Image-based question-answering pairs

Dataset Statistics

Task	Generator	Samples
Short Captions	Gemini-1.0-Pro-Vision	70,673
Long Captions	GPT-4V	70,799
Image-to-JSON	Gemini-1.5-Pro	136,974
Question Answering	Llama-3, GPT-4o	81,122