Add YAML metadata to fix warning

README.md

@@ -1,5 +1,23 @@
 ---
 license: mit
+pretty_name: Taiwan License Plate Dataset
+annotations_creators:
+  - expert-generated
+language:
+  - en
+multilinguality: monolingual
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - original
+task_categories:
+  - object-detection
+task_ids:
+  - polygon-object-detection
+tags:
+  - license-plate
+  - polygon
+  - labelme
 ---
 
 # TLPD: Taiwan License Plate Dataset
@@ -10,18 +28,21 @@ This dataset is designed for tasks such as license plate detection, polygon segm
 
 ## 📁 Dataset Structure
 
-All data are located under the `dataset/` directory:
+All image files are stored in the `images/` directory, and their corresponding polygon annotations are in the `labels/` directory:
 
 ```
-dataset/
+images/
 ├── 0001.jpg
-├── 0001.json
 ├── 0002.jpg
+└── ...
+
+labels/
+├── 0001.json
 ├── 0002.json
-├── ...
+└── ...
 ```
 
-Each `.jpg` image is paired with a `.json` file of the same name containing the polygon annotation.
+Each `.jpg` image is paired with a `.json` file of the same name containing the polygon annotation (in LabelMe format).
 
 ## 🏷️ Annotation Format (LabelMe)
 
@@ -61,7 +82,7 @@ To load this dataset using the Hugging Face 🤗 `datasets` library:
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("evan6007/TLPD", data_dir="dataset", trust_remote_code=True)
+ds = load_dataset("evan6007/TLPD", data_dir=".", trust_remote_code=True)
 sample = ds["train"][0]
 
 image = sample["image"]  # PIL image
@@ -69,7 +90,7 @@ label = sample["label"]  # "carplate"
 points = sample["points"]  # [[x1, y1], ..., [x4, y4]]
 ```
 
-> Note: This dataset requires a custom loading script. Be sure to set `trust_remote_code=True`.
+> Note: This dataset requires a custom loading script (`dataset.py`). Be sure to set `trust_remote_code=True`.
 
 ## 🧑‍🔬 Intended Use