Update README.md

Added content embedding section

README.md

@@ -41,6 +41,28 @@ Dataset Statistics:
 <!-- | May 2025 | 5,833,993 | 87,752,862 | 1 | 30.08 | 1,581,282 | 17,683 | 2.6e-06 |  -->
 <!-- | June 2025 | 9,974,275 | 152,449,542 | 1 | 30.57 | 3,381,364 | 25,447 | 1.5e06 |  -->
 
+**Content Embedding:**
+
+Domain-level content embeddings are generated using multiple LLM-based embedding models with varying LLM-model sizes and embedding dimensions. 
+The embeddings are intended to support feature initialization for downstream GNN models.
+For each domain, the textual content is first extracted and then encoded into dense vector representations using the selected embedding model.
+
+The dataset is organized by month under the content_embeddings directory.
+
+Each pickled file stores a dictionary:
+```
+{ domain1:[[page_url1, embedding_vector1],[page_url2, embedding_vector2], ...],
+  domain2:[[page_url1, embedding_vector1],[page_url2, embedding_vector2], ...],
+  ...
+}  
+```
+
+| Month | Embedding-model | Emb-dim| Total-files-size|
+| -- | -- | -- | -- | 
+| October 2024 | embeddinggemma-300m | 256 | 30GB|
+| November 2024 | embeddinggemma-300m | 256 | 30GB|
+| December 2024 | embeddinggemma-300m | 256 | 30GB|
+
 ### Resources
 
 <!-- Provide the basic links for the dataset. -->