Update README.md

README.md

@@ -38,23 +38,8 @@ dataset_info:
   dataset_size: 12169999
 ---
 
-# BagBuddy HF Dataset Export
-
-## Files
-
-- `train.parquet`: self-contained parquet export with embedded image bytes
-- `dataset_info.json`: metadata produced by the `datasets` library
-- `saved_dataset/`: optional `save_to_disk` export for local reloading
-
-## Schema
-
-- `image`: the `view.jpg` scene image
-- `caption`: generated caption summarizing the scene labels
-- `bucket`: top-level source bucket directory such as `6` or `10`
-- `sample_id`: timestamped sample folder name
-- `labels`: grocery item labels from `groceries.json`
-- `annotation_indices`, `annotation_x`, `annotation_y`: annotation metadata
-- `annotation_count`: number of annotated items in the scene
+# 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
 
@@ -65,6 +50,7 @@ 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).
 
 ## Row count
 - Rows: 40