Update README.md

README.md

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----
-license: apache-2.0
-language:
-- en
-tags:
-- multi-agent
-- multi-modal
-- benchmark
-- minecraft
-size_categories:
-- 10K<n<100K
-dataset_info:
-  features:
-    - name: task_variants
-      description: "55,000 procedurally generated task variants."
-    - name: demonstrations
-      description: "Multi-modal prompts (language + images), observations, and actions."
-    - name: observations
-      description: "First-person RGB views and inventory states."
-    - name: agent_actions
-      description: "Time-step actions for each agent."
-  splits:
-    - name: train
-      size: ">55,000"
-    - name: valid
-      size: "1000"
----
-
-# Dataset Card for TeamCraft-Data-Cen
-
-The **TeamCraft** dataset is designed to benchmark multi-modal, multi-agent collaboration in Minecraft. It features 55,000 task variants defined by multi-modal prompts and procedurally generated expert demonstrations.
-
-**TeamCraft-Data-Cen** is specifically designed for training centralized models, such as [TeamCraft-VLA-7B-Cen](https://huggingface.co/teamcraft/TeamCraft-VLA-7B-Cen). In this setup, the model has access to first-person RGB views and inventory information for all agents and generates actions for all agents.
-
-The dataset has a size of approximately 127GB, comprising over one million images and a comprehensive training JSON file. It contains 55,000 unique task variants, each accompanied by a demonstration.
-
-
-### Structure
-
-**Input:**
-
-- **Multi-Modal Prompts**: Language instructions interleaved with orthographic view images (top, left, and front) to specify tasks.
-- **Observations**: First-person RGB views and agent inventories for all agents.
-- **History**: Historical actions for all agents (if available).
-
-**Output:**
-
-- **Action Space**: High-level actions for all agents.
-
-
-### 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
-
+---
+license: apache-2.0
+language:
+- en
+tags:
+- multi-agent
+- multi-modal
+- benchmark
+- minecraft
+size_categories:
+- 10K<n<100K
+dataset_info:
+  features:
+    - name: task_variants
+      description: "55,000 procedurally generated task variants."
+    - name: demonstrations
+      description: "Multi-modal prompts (language + images), observations, and actions."
+    - name: observations
+      description: "First-person RGB views and inventory states."
+    - name: agent_actions
+      description: "Time-step actions for each agent."
+  splits:
+    - name: train
+      size: ">55,000"
+    - name: valid
+      size: "1000"
+---
+
+# Dataset Card for TeamCraft-Data-Cen
+
+The **TeamCraft** dataset is designed to benchmark multi-modal, multi-agent collaboration in Minecraft. It features 55,000 task variants defined by multi-modal prompts and procedurally generated expert demonstrations.
+
+**TeamCraft-Data-Cen** is the training split for **TeamCraft** centralized models, such as [TeamCraft-VLA-7B-Cen](https://huggingface.co/teamcraft/TeamCraft-VLA-7B-Cen). In this setup, the model has access to first-person RGB views and inventory information for all agents and generates actions for all agents.
+
+The dataset has a size of approximately 127GB, comprising over one million images and a comprehensive training JSON file. It contains 55,000 unique task variants, each accompanied by a demonstration.
+
+
+### Structure
+
+**Input:**
+
+- **Multi-Modal Prompts**: Language instructions interleaved with orthographic view images (top, left, and front) to specify tasks.
+- **Observations**: First-person RGB views and agent inventories for all agents.
+- **History**: Historical actions for all agents (if available).
+
+**Output:**
+
+- **Action Space**: High-level actions for all agents.
+
+
+### 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).