Sync README updates

README.md

@@ -118,26 +118,38 @@ The SFT stage fine-tunes Qwen2.5-VL-7B-Instruct on the GeoMTVR dataset to obtain
 | Dependency | Source | Notes |
 |------------|--------|-------|
 | **Qwen2.5-VL-7B-Instruct** | [🤗 Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | Base model |
-| **GeoMTVR dataset** | *(To be released)* | Multi-tool visual reasoning dataset |
+| **GeoMTVR dataset** | [🤗 NaOHjiang/GeoMTVR](https://huggingface.co/datasets/NaOHjiang/GeoMTVR) | Multi-tool visual reasoning dataset (13K samples) |
 | **LLaMA-Factory** | `pip install llamafactory` | Training framework used by the SFT script |
 
 Place the base model at a local path, e.g., `/path/to/models/Qwen2.5-VL-7B-Instruct`.
 
-### Step 2: Prepare Dataset
+### Step 2: Download and Prepare Dataset
 
-The GeoMTVR dataset should be organized in LLaMA-Factory format under a single dataset directory:
+Download the GeoMTVR dataset from [HuggingFace](https://huggingface.co/datasets/NaOHjiang/GeoMTVR). The repository contains annotation files (`dataset_info.json` + 3 JSONL files) and image chunks:
+
+```bash
+# Download the dataset repository
+git lfs clone https://huggingface.co/datasets/NaOHjiang/GeoMTVR
+
+# Or download files manually via the web interface (see "Files" tab)
+
+# Merge and extract the image archive
+cd GeoMTVR
+cat images/geomtvr_images_chunk_*.tar.part > geomtvr_images.tar
+tar xf geomtvr_images.tar
+```
+
+Organize the extracted data into a single dataset directory (LLaMA-Factory format):
 
 ```
 /path/to/geomtvr-data/
-  super_accepted_or_route_3img_summary_cold_start/
-    train.json
-    images/
-  lrs_gro_zoom_strict_superstyle_cold_start/
-    train.json
-    images/
-  route_visual_accepted_388_superstyle_cold_start/
-    train.json
-    images/
+  cold_start/
+    super_accepted_or_route.3img_summary.jsonl
+    zoom_results.visual.qa.with_aux.full.strict_superstyle.jsonl
+    route_visual_accepted_388.superstyle_sft.jsonl
+  images/
+    aux_images/...
+    vqa_results/...
   dataset_info.json
 ```