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README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+---
+# VL-LN-Bench basemodel
+
+![License](https://img.shields.io/badge/License-CC_BY--NC--SA_4.0-lightgrey.svg)
+![Transformers](https://img.shields.io/badge/%F0%9F%A4%97%20Transformers-9cf?style=flat)
+![PyTorch](https://img.shields.io/badge/PyTorch-EE4C2C?logo=pytorch&logoColor=white)
+
+---
+
+## Model Description
+
+VL-LN Bench is the first benchmark for **Interactive Instance Object Navigation (IION)**, where an embodied agent must locate a specific object instance in a realistic 3D home while engaging in **free-form natural-language dialogue**. It provides an **automated data-collection pipeline** to generate large-scale training data. Using this dataset, we train a **IION base model** with the same architecture as **InternVLA-N1**.
+
+
+---
+
+### 🔗 Resources
+
+[![Code](https://img.shields.io/badge/GitHub-VL--LN--Bench-181717?logo=github)](https://github.com/InternRobotics/InternNav)
+[![VL-LN Paper — arXiv](https://img.shields.io/badge/arXiv-VL--LN--Bench-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2512.08186)
+[![Project Page — VL-LN-Bench](https://img.shields.io/badge/Project_Page-VL--LN--Bench-4285F4?logo=google-chrome&logoColor=white)](https://0309hws.github.io/VL-LN.github.io/)
+[![Dataset](https://img.shields.io/badge/Dataset-VL--LN--Bench-FF6F00?logo=huggingface&logoColor=white)](https://huggingface.co/datasets/InternRobotics/InternData-N1)
+
+---
+
+## Usage
+
+For inference and evaluation please refer to the [VL-LN-Bench repository](https://github.com/InternRobotics/InternNav).