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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# GigaBrain Challenge 2026 – Task 6 VLA Policy Model
+
+This repository provides the **Vision-Language-Action (VLA) policy model for Task 6** of the **GigaBrain Challenge 2026**.
+
+Official Challenge Website:
+
+https://gigaai-research.github.io/GigaBrain-Challenge-2026/
+
+The GigaBrain Challenge aims to advance research in **embodied intelligence**, including:
+
+- Vision-Language-Action (VLA) models
+- world models
+- robot learning systems
+- closed-loop embodied agents
+
+---
+
+# Task Overview
+
+**Task 6** is one of the official tasks in the GigaBrain Challenge 2026 benchmark suite.
+
+Each task evaluates an embodied agent’s ability to generate actions based on multimodal observations and task instructions.
+
+For full task descriptions please refer to:
+
+https://gigaai-research.github.io/GigaBrain-Challenge-2026/index.html#tracks
+
+---
+
+# Model Description
+
+This repository contains the **VLA policy model used for Task 6**.
+
+The model is designed to:
+
+- take **visual observations and language instructions** as input
+- generate **robot actions**
+- interact with a **world model** in a closed-loop evaluation environment
+
+The VLA model serves as the **action generation component** in the challenge evaluation pipeline.
+
+During evaluation:
+Observation → VLA Model → Action → World Model → Next Observation
+
+This loop continues until the task is completed or the episode terminates.
+
+Participants may use this model as:
+
+- a reference implementation
+- a starting point for model development
+- a component in their own embodied AI systems
+
+---
+
+# Dataset
+
+The dataset for all tasks is provided in the official challenge dataset repository:
+
+https://huggingface.co/datasets/open-gigaai/CVPR-2026-WM-Track-Dataset
+
+Access requires:
+
+- Team registration
+- Agreement to the challenge license
+
+Please request access on the dataset page.
+
+---
+
+# License and Usage Terms
+
+This model is released as part of the GigaBrain Challenge 2026.
+
+Use of this model and the associated datasets is governed by the GigaBrain Challenge 2026 Data & Model License Agreement.
+
+Key terms include:
+
+Intended for research and competition participation
+
+Dataset redistribution is not permitted
+
+Commercial use requires permission from the organizers
+
+For full license terms please refer to the dataset repository:
+
+https://huggingface.co/datasets/open-gigaai/CVPR-2026-WM-Track-Dataset
+
+# Citation
+
+If you use this model or dataset in academic research, please cite the challenge:
+```bibtex
+@misc{gigabrain_challenge_2026,
+  title={GigaBrain Challenge 2026},
+  year={2026},
+  howpublished={https://gigaai-research.github.io/GigaBrain-Challenge-2026/}
+}
+```
+
+# Disclaimer
+
+This model is provided as-is without warranty of any kind.
+
+The organizers are not responsible for any issues arising from its use.
+
+# Contact
+
+For questions about the challenge, please visit the official website:
+
+https://gigaai-research.github.io/GigaBrain-Challenge-2026/