Update README.md

README.md

@@ -29,23 +29,28 @@ size_categories:
 
 
 - **Creators**: Intel Labs
-- **Version**: <TODO - REPLACE WITH VERSION>
+- **Version**: 1.0 (Updated: 2025-05-02)
 - **License**: [Intel Research and Development License](.\Intel_OBL_Internal_RD_Use_License.md)
-- **Number of Training Samples**: <TODO>
-- **Number of Test Samples**: <TODO>
-- <TODO - Add additional as needed>
-- **Format**: <TODO - IF Applicable>
+- **Number of Training Samples**: >100M
+- **Number of Test Samples**: >500K
+
+- **Format**: pyarrow format
 
 ## Intended Use
 
-- **Primary Uses**: <TODO> 
-- **Out-of-Scope Uses**: <TODO>
+- **Primary Uses**:
+  - These intermediate features or tokens are primarily intended for insights and exploratory analysis in explainable AI, as well as for training ad-hoc models such as linear probes, Sparse AutoEncoders (SAEs), or transcoders.
+  - This is also an example of a dataset that can be extracted using the feature recorder (intercept_manager) from the BlueGlass repository, providing a guiding dataset for further analysis.
+- **Out-of-Scope Uses**: This dataset is not intended for commercial use or for training models that will be deployed in real-world scenarios without further verification and validation.
 
 ## Data Collection Process
-<!-- TODO 
-  - Provide detailed explaination of how the dataset was generated/create/collected.  
-  - If 3rd party datasets were used/included, provide a link to the original dataset as well as the license the data is released under.
--->
+
+This dataset contains intermediate features extracted from various layers of transformer models using the intercept_manager module from [BlueGlass](https://github.com/IntelLabs/blueglass). The features are recorded from different probe positions within the model, as illustrated in the image below, enabling fine-grained analysis and interoperability.
+
+<div align="center">
+  <img src="docs/images/feature_pattern.png" alt="Feature Pattern used to extract the BlueLens dataset" width="300"/>
+</div>
+
 
 ## Ethical Considerations
 <!-- DON'T CHANGE THIS SECTION -->