Update README.md

README.md

@@ -100,8 +100,7 @@ adoption in resource-constrained environments. For more details, refer to our [p
 - TTM-E referred in the paper maps to the 1024 context models.
 - TTM-A referred in the paper maps to the 1536 context models.
 
-Please note that the Granite TTM models are pre-trained exclusively on datasets
-with clear commercial-use licenses that are approved by our legal team. As a result, the pre-training dataset used in this release differs slightly from the one used in the research
+The pre-training dataset used in this release differs slightly from the one used in the research
 paper, which may lead to minor variations in model performance as compared to the published results. Please refer to our paper for more details.
 
 **Benchmarking Scripts: [here](https://github.com/ibm-granite/granite-tsfm/tree/main/notebooks/hfdemo/tinytimemixer/full_benchmarking)**