Minecraft Image Caption Dataset for Contractor Dataset
This dataset provides image captions for the OpenAI Minecraft Contractor dataset, specifically tailored for visual-language model training. It contains over 10 million images from Minecraft gameplay, each with associated captions that describe in-game scenes, objects, and actions. This dataset enhances the original Contractor dataset by adding descriptive captions to each image, making it ideal for training vision-language models in a simulated gaming environment.
Dataset Overview
- Total Images: 10 million+
- Source: OpenAI's Minecraft Contractor dataset
- Captions: Each image is paired with a text caption describing visual elements, player actions, or the overall scene.
The captions are designed to support model training in image captioning, visual scene understanding, and multimodal learning tasks.
Dataset Structure
Each data sample includes:
image
: A single frame or snapshot from Minecraft gameplay.caption
: A descriptive text of the image content, detailing aspects such as player actions (e.g., "collecting resources," "building a structure") and visual elements (e.g., "forest landscape," "crafting table in view").
Example Data Format
Each entry in the dataset is structured as:
{
"image": "path/to/image.png",
"caption": "A player is crafting a sword in a forest setting with trees and resources nearby."
}
Applications
This dataset is intended for:
- Training vision-language models on game environments
- Fine-tuning image captioning models for understanding complex game scenes
- Enhancing interactive agents with visual understanding capabilities in simulated environments
Loading the Dataset
To load this dataset with Hugging Face Datasets:
from datasets import load_dataset
dataset = load_dataset("path_to_your_minecraft_caption_dataset")
Replace "path_to_your_minecraft_caption_dataset"
with the appropriate identifier or local path.
Licensing
Please ensure that any usage complies with the licensing terms of both OpenAI’s Minecraft Contractor dataset and this captioning dataset. This dataset builds on OpenAI’s dataset to provide additional captions and is meant for research and educational use.
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