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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- minecraft |
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- multi-agent |
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- multi-modal |
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- benchmark |
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size_categories: |
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- 10K<n<100K |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: task_type |
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dtype: string |
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- name: num_agent |
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dtype: int32 |
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- name: orthographic_view |
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dtype: image |
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- name: agent1_obs |
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sequence: image |
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- name: agent2_obs |
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sequence: image |
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- name: agent3_obs |
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sequence: image |
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- name: conversations |
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sequence: |
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- name: from |
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dtype: string |
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- name: value |
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dtype: string |
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splits: |
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- name: valid |
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num_bytes: 2047966318.0 |
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num_examples: 1000 |
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download_size: 1885195096 |
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dataset_size: 2047966318.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: valid |
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path: data/valid-* |
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--- |
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# Dataset Card for TeamCraft |
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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. |
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This repository contains the data for the **validation** set and its visualizations. |
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To use the **validation** set, download ``TeamCraft-Data-Valid.zip`` and extract using ``unzip TeamCraft-Data-Valid.zip``. |
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In addition, the **training** set is available in two formats: |
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- **[TeamCraft-Data-Cen](https://huggingface.co/datasets/teamcraft/TeamCraft-Data-Cen)** for centralized models. |
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- **[TeamCraft-Data-Dec](https://huggingface.co/datasets/teamcraft/TeamCraft-Data-Dec)** for decentralized models. |
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Each dataset is approximately 127GB, containing over one million images and a training JSON file. |
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### Tasks |
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The TeamCraft dataset includes demonstrations for the following tasks: |
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*For detailed task descriptions and task visualization videos, visit the [Task Documentation](https://github.com/teamcraft-bench/teamcraft/blob/main/docs/task_doc.md).* |
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- **Building**: Construct structures from provided blueprints. |
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- **Clearing**: Remove specified blocks from target regions. |
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- **Farming**: Sow and harvest crops on designated farmland. |
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- **Smelting**: Use furnaces to smelt resources into goal items. |
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### Applications |
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This dataset supports research in: |
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- Multi-agent reinforcement learning. |
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- Multi-modal learning and task planning. |
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- Embodied AI in collaborative environments. |
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### Usage |
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Model training and evaluation available on [TeamCraft GitHub Repository](https://github.com/teamcraft-bench/teamcraft). |
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--- |
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### Disclaimer |
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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. |
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### License |
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This dataset is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |
