Update README.md

README.md

@@ -160,6 +160,20 @@ The dataset contains search queries paired with up to 40 potentially relevant pr
 - Multilingual support (English, Japanese, Spanish)
 - Train/test splits for each task
 
+## Download
+Install `datasets` library:
+```bash
+pip install datasets
+```
+Donwload files:
+```python
+from datasets import load_dataset
+
+queries = load_dataset(path="Studeni/amazon-esci-data", name="queries", split=["train", "test"])
+products = load_dataset(path="Studeni/amazon-esci-data", name="products", split=["train", "test"])
+sources = load_dataset(path="Studeni/amazon-esci-data", name="sources", split=["train", "test"])
+```
+
 ## Use Cases
 1. **Product Ranking**: Develop algorithms to rank relevant products higher in search results
 2. **Relevance Classification**: Build models to classify products as Exact, Substitute, Complement, or Irrelevant