Update README.md

README.md

@@ -1104,14 +1104,28 @@ This dataset was made as sample of several datasets from the link above.
 
 ### Dataset Description
 
-This dataset is a curated sample derived from seven filtered Amazon product category datasets(Amazon All Beauty, Amazon Fashion, Sports and Outdoors, Health and Personal Care, Amazon Clothing Shoes and Jewlery, Baby Products and Beauty and Personal Care), combining diverse product information across categories. The dataset contains 299,994 entries, each representing a unique product and its associated metadata. Designed for product-related analysis, this dataset is well-suited for tasks such as embedding generation, recommendation systems, and NLP model training.
+This dataset is a curated sample derived from seven filtered Amazon product category datasets(Amazon All Beauty, Amazon Fashion, Sports and Outdoors, 
+Health and Personal Care, Amazon Clothing Shoes and Jewlery, 
+Baby Products and Beauty and Personal Care), combining diverse product information across categories. 
+The dataset contains 258k entries, each representing a unique product and its associated metadata. 
+Designed for product-related analysis, this dataset is well-suited for tasks such as embedding generation, recommendation systems, and NLP model training.
 
  <h2>Dataset Versions:</h2>
   <ul>
     <li><strong>Data version:</strong> Contains standard product attributes, without the additional <code>text</code> column.</li>
     <li><strong>Formatted version:</strong> Includes an extra column, <code>text</code>, specifically created for generating embeddings, allowing for deeper semantic analysis and machine learning tasks.</li>
+    <li><strong>Embeddings:</strong> Generated embeddings from the <code>text</code> column, along with parent_asin and token count.</li>
+    <li><strong>Formatted and embedded version:</strong> The formatted version with the embeddings.</li>
+    <li><strong>Image description version:</strong> The standard dataset with the description of the images for each product.</li>
+    <li><strong>Image embeddings:</strong> The standard dataset with the image embedding of the first encountered image of each product.</li>
+    <li><strong>Combined description version:</strong> The standard dataset along with the image description and combined description and image description in the <code>image_description_formatted</code> column.</li>
+    <li><strong>Combined and formatted description version:</strong> The standard dataset along with the image description, and combined description and image description in the <code>image_description_formatted</code> column.  Including the <code>text</code> column.</li>
+    <li><strong>Embeddings for Combined description version:</strong> The Combined and formatted description version along with  <code>token_counts</code> and  <code>embeddings </code> of the text column.</li>
+    <li><strong>Query columns version:</strong> The standard dataset along with short queries and long queries.</li>
+    <li><strong>Product2Query version:</strong> The dataset with query columns, splited into train and test for fine-tuning.</li>
   </ul>
 
+### Original Structure
 <table border="1" cellpadding="5" cellspacing="0">
   <tr>
     <th>Field</th>
@@ -1203,9 +1217,8 @@ This dataset is a curated sample derived from seven filtered Amazon product cate
 
 ### Dataset Size
 <ul>
-  <li><strong>Total entries:</strong> 299,994</li>
+  <li><strong>Total entries:</strong> 258k</li>
   <li><strong>Total columns (Data version):</strong> 45</li>
-  <li><strong>Total columns (Formatted version):</strong> 46 (including the <code>text</code> column)</li>
 </ul>
 
 ### Final Structure