license: apache-2.0
language:
- en
tags:
- minecraft
- multi-agent
- multi-modal
- benchmark
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: id
dtype: string
- name: task_type
dtype: string
- name: num_agent
dtype: int32
- name: orthographic_view
dtype: image
- name: agent1_obs
sequence: image
- name: agent2_obs
sequence: image
- name: agent3_obs
sequence: image
- name: conversations
sequence:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: valid
num_bytes: 2047966318
num_examples: 1000
download_size: 1885195096
dataset_size: 2047966318
configs:
- config_name: default
data_files:
- split: valid
path: data/valid-*
Dataset Card for TeamCraft
The TeamCraft dataset is designed to develop multi-modal, multi-agent collaboration in Minecraft. It features 55,000 task variants defined by multi-modal prompts and procedurally generated expert demonstrations.
This repository contains the data for the validation set and its visualizations.
To use the validation set, download TeamCraft-Data-Valid.zip and extract using unzip TeamCraft-Data-Valid.zip.
In addition, the training set is available in two formats:
- TeamCraft-Data-Cen for centralized models.
- TeamCraft-Data-Dec for decentralized models.
Each dataset is approximately 127GB, containing over one million images and a training JSON file.
Tasks
The TeamCraft dataset includes demonstrations for the following tasks:
For detailed task descriptions and task visualization videos, visit the Task Documentation.
- Building: Construct structures from provided blueprints.
- Clearing: Remove specified blocks from target regions.
- Farming: Sow and harvest crops on designated farmland.
- Smelting: Use furnaces to smelt resources into goal items.
Applications
This dataset supports research in:
- Multi-agent reinforcement learning.
- Multi-modal learning and task planning.
- Embodied AI in collaborative environments.
Usage
Model training and evaluation available on TeamCraft GitHub Repository.
Disclaimer
This dataset is provided for research purposes only. Users are responsible for ensuring compliance with applicable laws and regulations. The creators do not guarantee the dataset's suitability for any specific purpose and are not liable for any consequences arising from its use.
License
This dataset is released under the Apache License 2.0.