Update README.md

README.md

@@ -39,19 +39,100 @@ dataset_info:
 ---
 
 # LLM-Pack: Grocery Detection Dataset
-A dataset, showing scenes of grocery items on a table. Each item is annotated by location and name.
 
-## Hub Usage
+A small object detection and scene understanding dataset containing tabletop grocery scenes with annotated item names and object locations.
+The dataset consists of 40 images with varying object counts, designed for evaluating object detection, counting, and multimodal reasoning systems in cluttered grocery scenarios.
+
+## Dataset Overview
+
+- **Total scenes:** 40
+- **Object counts per scene:** 6, 8, 10, 12, 14, 16, 18, or 20 items
+- **Samples per object-count category:** 5
+- **Annotations:** Object names + object center coordinates
+- **Image resolution:** 1920×1080
+- **Task type:** Object detection / scene understanding / counting
+
+## Dataset Structure
+
+Each sample contains:
+
+```python
+{
+    "image": PIL.Image,
+    "caption": str,
+    "bucket": str, # number of items on the image
+    "sample_id": str,
+
+    "labels": List[str],
+    "annotation_indices": List[int],
+    "annotation_x": List[int],
+    "annotation_y": List[int],
+
+    "annotation_count": int
+}
+```
+
+## Annotation Format
+
+Object annotations are stored as aligned lists.
+
+Example:
+
+```python
+{
+    "labels": [
+        "Glass Beer Bottle",
+        "Apples",
+        "Noodles in Plastic Bag"
+    ],
+
+    "annotation_x": [1480, 1251, 1123],
+    "annotation_y": [445, 822, 810]
+}
+```
+
+Each `(annotation_x[i], annotation_y[i])` pair corresponds to the center position of `labels[i]` in the image.
+
+## Usage
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("Yannik019/llm_pack_detection", split="train")
+dataset = load_dataset(
+    "Yannik019/llm_pack_detection",
+    split="train"
+)
+
 print(dataset)
 ```
 
-Please find a detailed example [here](https://huggingface.co/datasets/Yannik019/llm_pack_detection/blob/main/example.py).
+## Example
+
+A full usage example is available here:
 
-## Row count
-- Rows: 40
+- [example.py](https://huggingface.co/datasets/Yannik019/llm_pack_detection/blob/main/example.py)
+
+## Intended Use
+
+This dataset is intended for:
+
+- Object detection benchmarking
+- Vision-language model evaluation
+- Scene understanding research
+- Tabletop grocery perception
+- Referring object localization
+
+## Citation
+
+```bibtex
+@misc{blei2025llmpackintuitivegroceryhandling,
+      title={LLM-Pack: Intuitive Grocery Handling for Logistics Applications}, 
+      author={Yannik Blei and Michael Krawez and Tobias Jülg and Pierre Krack and Florian Walter and Wolfram Burgard},
+      year={2025},
+      eprint={2503.08445},
+      archivePrefix={arXiv},
+      primaryClass={cs.RO},
+      url={https://arxiv.org/abs/2503.08445}, 
+}
+```