Update README

README.md

@@ -12,4 +12,49 @@ tags:
 pretty_name: MECoBench
 size_categories:
 - n<1K
----
+---
+
+# MECoBench
+
+MECoBench is a benchmark for systematically evaluating multimodal multi-agent collaboration in embodied environments.
+
+It contains 192 task cases constructed in VirtualHome, covering two collaboration structures:
+
+* **Parallel collaboration:** 96 task cases in which agents operate in a
+  shared environment and can complete independent subtasks concurrently.
+* **Sequential collaboration:** 96 task cases in which agents operate in
+  disjoint spatial regions and must coordinate through object handovers.
+
+## Dataset Files
+
+| File              | Description                    | Number of cases |
+| ----------------- | ------------------------------ | --------------: |
+| `parallel.json`   | Parallel collaboration tasks   |              96 |
+| `sequential.json` | Sequential collaboration tasks |              96 |
+
+## Download
+
+Download the complete dataset with:
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="q-i-n-g/MECoBench",
+    repo_type="dataset"
+)
+```
+
+Alternatively, using the Hugging Face CLI:
+
+```bash
+hf download q-i-n-g/MECoBench \
+  --repo-type dataset 
+```
+
+## Evaluation
+
+The dataset is designed for use with the MECoBench simulator, which is based on VirtualHome v2.3.0 and includes additional multi-agent actions, agent constraints, rendering capabilities, character assets, and stability fixes.
+
+The simulator, benchmark code, and evaluation scripts are available in the [MECoBench GitHub repository](https://github.com/q-i-n-g/MECoBench).
+