Update Readme

README.md

@@ -153,7 +153,7 @@ For more details please see the [Model Version](#model-version) section.
 
 ## Training, Testing, and Evaluation Datasets
 
-Harmonizer was trained, tested, and evaluated using an internal dataset of curated synthetic–real image pairs constructed from five complementary curation pipelines (ISP modification, relighting, asset re-insertion, PBR shadow simulation, and novel-view artifact correction), where 80% of the data was used for training, 10% for evaluation, and 10% for testing. The total volume of training data amounted to ~1 million pairs. Training data will be released at [nvidia/Harmonizer-Dataset](https://huggingface.co/datasets/nvidia/Harmonizer-Dataset).
+Harmonizer was trained, tested, and evaluated using an internal dataset of curated synthetic–real image pairs constructed from five complementary curation pipelines (ISP modification, relighting, asset re-insertion, PBR shadow simulation, and novel-view artifact correction), where 80% of the data was used for training, 10% for evaluation, and 10% for testing. The total volume of training data amounted to ~1 million pairs. Training data is available at [nvidia/Harmonizer-Dataset](https://huggingface.co/datasets/nvidia/Harmonizer-Dataset).
 
 ### NVIDIA Internal AV Dataset