---
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: 2047966318.0
    num_examples: 1000
  download_size: 1885195096
  dataset_size: 2047966318.0
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](https://huggingface.co/datasets/teamcraft/TeamCraft-Data-Cen)** for centralized models.
   - **[TeamCraft-Data-Dec](https://huggingface.co/datasets/teamcraft/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](https://github.com/teamcraft-bench/teamcraft/blob/main/docs/task_doc.md).*

- **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](https://github.com/teamcraft-bench/teamcraft).

---

### 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](https://www.apache.org/licenses/LICENSE-2.0).