Add missing metadata to dataset card

This PR adds missing metadata to the dataset card, including the task category, license, and a description of the dataset's purpose. It also includes a placeholder for a paper link once it is available. It clarifies the dataset's use in the context of scene graph generation.

README.md

@@ -19,9 +19,39 @@ dataset_info:
     num_examples: 5000
   download_size: 781301448
   dataset_size: 807872243.0
+  task_categories:
+  - image-text-to-text
+  license: apache-2.0 #  Please replace with the actual license.
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
 ---
+
+This dataset, derived from VG150, provides image-text pairs for scene graph generation. Each example includes an image, an "open" prompt, a "close" prompt, a list of objects, and their relationships.  It's designed to be used for training and evaluating models that generate scene graphs from images and textual prompts.
+
+
+This dataset is used in the paper [R1-SGG: Compile Scene Graphs with Reinforcement Learning](PLACEHOLDER_PAPER_LINK).  Please replace PLACEHOLDER_PAPER_LINK with the actual link once available.
+
+The dataset is structured as follows:
+
+* **image_id:** Unique identifier for the image.
+* **image:** The image itself.
+* **prompt_open:** An open-ended prompt related to the image.
+* **prompt_close:** A more specific prompt related to the image.
+* **objects:** A list of objects present in the image.
+* **relationships:** A description of the relationships between the objects.
+
+**Data Usage:**
+
+The dataset can be loaded using the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+db_train = load_dataset("JosephZ/vg150_train_sgg_prompt")["train"]
+db_val = load_dataset("JosephZ/vg150_val_sgg_prompt")["train"]
+```
+
+(Further instructions from the original README regarding training and inference can be included here)