update readme

README.md

@@ -24,7 +24,7 @@ Global <br>
 Developers looking to take off the shelf pre-quantized models for deployment <br>
 
 ### Release Date:  <br>
-Huggingface 05/09/2025 via https://huggingface.co/nvidia/Llama-3.3-70B-Instruct-FP8 <br> 
+Huggingface 05/09/2025 via https://huggingface.co/nvidia/Llama-3.3-70B-Instruct-FP8 <br>
 
 ## Model Architecture:
 **Architecture Type:** Transformer  <br>
@@ -61,8 +61,8 @@ The model is quantized with nvidia-modelopt **v0.23.0**  <br>
 
 ## Datasets:
 * Calibration Dataset: [cnn_dailymail](https://huggingface.co/datasets/abisee/cnn_dailymail) <br>
-** Data collection method: Automated <br>
-** Labeling method: Unknown <br>
+** Data collection method: The dataset is collected by crawling and extracting news articles and their summaries from the CNN and Daily Mail websites. <br>
+** Labeling method: The dataset is labeled by having the news articles as input and the corresponding highlight as the gold label summary. <br>
 
 
 ## Inference: