Update README.md

README.md

@@ -63,6 +63,17 @@ configs:
 
 # Amazon All Beauty Dataset
 
+## Directory Structure
+
+- **metadata**: Contains product information.
+
+- **reviews**: Contains user reviews about the products.
+
+- **filtered**:
+    - **e5-base-v2_embeddings.jsonl**: Contains "asin" and "embeddings" created with [e5-base-v2](https://huggingface.co/intfloat/e5-base-v2).
+    - **metadata.jsonl**: Contains "asin" and "text", where text is created from the title, description, brand, main category, and category.
+    - **reviews.jsonl**: Contains "reviewerID", "reviewTime", and "asin". Reviews are filtered to include only perfect 5-star ratings with a minimum of 5 ratings.
+      
 ## Usage
 
 ### Download metadata
@@ -73,4 +84,14 @@ metadata = load_dataset(path="smartcat/Amazon_All_Beauty_2018", name="metadata",
 ### Download reviews
 ```python
 metadata = load_dataset(path="smartcat/Amazon_All_Beauty_2018", name="reviews", split="train")
-```
+```
+
+### Download filtered files
+```
+embeddibgs = load_dataset(
+    path="smart cat/Amazon_All_Beauty_2018",
+    data_files="filtered/reviews.jsonl",
+    split="train",
+)
+```
+**📎 Note:** You can set any file or list of files from the "filtered" directory as the "data_files" argument.