feat(README): add usage instructions

README.md

@@ -55,10 +55,17 @@ Project page: https://sphere-vlm.github.io/
   <img src="https://cdn-uploads.huggingface.co/production/uploads/66178f9809f891c11c213a68/g0___KuwnEJ37i6-W96Ru.png" alt="SPHERE dataset examples" width="400"/>
 </p>
 
-## Dataset Preparation
+## Dataset Usage
 
-This version of the dataset was prepared by combining the [JSON annotations](https://github.com/zwenyu/SPHERE-VLM/tree/main/eval_datasets/coco_test2017_annotations) with the corresponding images from [MS COCO-2017](https://cocodataset.org).
-The script used can be found at `prepare_parquet.py`, to be executed in the root of [our GitHub repository](https://github.com/zwenyu/SPHERE-VLM). 
+To use this dataset, run the following:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("wei2912/SPHERE-VLM", "counting_only-paired-distance_and_counting")
+```
+
+where the second argument to `load_dataset` is the subset of your choice (see [Dataset Structure](#dataset-structure)).
 
 ## Dataset Structure
 
@@ -107,6 +114,11 @@ The data fields are as follows:
   - `source_img_id`: Source image ID in [MS COCO-2017](https://cocodataset.org).
   - `skill`: For reasoning tasks, a list of skills tested by the question, e.g. "count", "dist" (distance), "pos" (position), "shape", "size", "vis" (visual).
 
+## Dataset Preparation
+
+This version of the dataset was prepared by combining the [JSON annotations](https://github.com/zwenyu/SPHERE-VLM/tree/main/eval_datasets/coco_test2017_annotations) with the corresponding images from [MS COCO-2017](https://cocodataset.org).
+The script used can be found at `prepare_parquet.py`, to be executed in the root of [our GitHub repository](https://github.com/zwenyu/SPHERE-VLM). 
+
 ## Licensing Information
 
 Please note that the images are subject to the [Terms of Use of MS COCO-2017](https://cocodataset.org/#termsofuse):