diff --git a/README.md b/README.md
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+++ b/README.md
@@ -65,8 +65,8 @@ This dataset is ideal for training HOI reconstruction models like [CARI4D](https
 | Human QC results | `failure_segments.json` half-open ranges of frame indices where human/object pose annotation is deemed below standard |
 
 ## Dataset Quantification <br>
-~4000 episodes, each containing all assets specified above. <br>
-In current storage formats, we estimated 4TB storage size.
+4,135 episodes, each containing the assets specified above. <br>
+The downloadable sequence archives total 4,503,845,089,280 bytes (approximately 4.504 TB), excluding release manifests.
 
 ## Reference(s): <br>
 Technical report is in progress. Code is integrated in the [video_to_data repo](https://github.com/nvidia-isaac/video_to_data/tree/main/reconstruction).
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