Update README.md

README.md

@@ -1,4 +1,4 @@
----
+<!-- ---
 pretty_name: VisReason
 language:
   - en
@@ -12,7 +12,7 @@ tags:
   - benchmark
 size_categories:
   - 1K<n<10K
----
+--- -->
 
 # VisReason
 
@@ -20,17 +20,19 @@ VisReason is a benchmark for evaluating vision-centric reasoning in everyday sce
 
 The dataset contains **1,505** carefully curated questions across **10 reasoning categories**, covering perceptual, structural, and conceptual reasoning tasks.
 
-## Download
+## 📥 Download
 
 You can download the dataset with the Hugging Face CLI:
 
 ```bash
-hf download <repo_id> --repo-type dataset --local-dir ./data
+hf download Lingfengtingyumian/VisReason --repo-type dataset --local-dir ./data
 ```
 
 The official evaluation scripts expect the dataset to be available under `./data` in the project root.
 
-## Dataset Structure
+
+
+## 🗂️ Dataset Structure
 
 ```text
 data/
@@ -51,7 +53,9 @@ Images are stored under the corresponding `img_<class_number>` folders. Each ima
 datajson_label.<ext>
 ```
 
-## Data Files
+
+
+## 📊 Data Files
 
 | Class | Data file | Samples | Image folder |
 | --- | --- | ---: | --- |
@@ -66,33 +70,38 @@ datajson_label.<ext>
 | `class_9` | `class_9.jsonl` | 275 | `img_9/` |
 | `class_10` | `class_10.jsonl` | 268 | `img_10/` |
 
-## Data Format
+
+
+## 🧾 Data Format
 
 Each `class_*.jsonl` file contains one JSON object per line. A sample has the following fields:
 
+### ◆ Sample Fields
+
 | Field | Description |
 | --- | --- |
 | `class` | Class identifier. |
 | `label` | Sample identifier within the source data. |
-| `question type` | Question format used by the prompt and evaluator. |
+| `question type` | Question format used for prompting and evaluation. |
 | `question` | Natural-language question. |
-| `answer` | Ground-truth answer. For localization tasks, this contains bounding boxes. |
-| `images` | Image paths associated with the question. |
-| `datajson` | Source dataset or source group key. |
-| `Height` | Image height when available. |
-| `Weight` | Image width field used by the released files. |
-| `url` | Original source URL when available. |
+| `answer` | Ground-truth answer, including boxes for localization tasks. |
+| `images` | Image paths associated with the sample. |
+| `datajson` | Source split. |
+| `Height` / `Weight` | Image size fields used by the released files. |
+| `url` | Original source URL, when available. |
 
-Question types:
+### ◆ Question Type
 
-| Type | Task |
+| Type | Format |
 | --- | --- |
-| `1` | Multiple-choice question. |
-| `2` | Short-answer question. |
-| `3` | Open-ended question. |
-| `4` | Bounding-box localization question. |
+| `1` | Multiple-choice |
+| `2` | Short-answer |
+| `3` | Open-ended |
+| `4` | Bounding-box localization |
+
+
 
-## Evaluation
+## 🧪 Evaluation
 
 The evaluation code is available in the GitHub repository:
 
@@ -116,16 +125,18 @@ results/<model>/summary.json
 
 For `class_1` and `class_2`, bounding-box predictions are evaluated with IoU at threshold 0.5. Other classes are evaluated by an LLM-based judge. The final score is the unweighted mean over all class accuracies.
 
-## License
 
 
-## Citation
+## 📄 License
+
+
+## 📝 Citation
 
 ```bibtex
 
 ```
 
-## Contact
+## 📬 Contact
 
 If you have any questions, please reach out to: