Update README.md

README.md

@@ -76,6 +76,15 @@ This dataset is suitable for:
 - **Temporal**: Time-related information
 - **Content**: Direct content extraction
 
+## Dataset Creation
+
+### Curation Rationale
+This dataset was curated to capture the rapidly evolving global narrative during the early phase of the COVID-19 pandemic, focusing specifically on March 10–22, 2020. By zeroing in on this critical period, it offers a granular perspective on how geopolitical events, actor relationships, and thematic discussions shifted amid the escalating pandemic. The enhanced GKG features further enable advanced entity, sentiment, and thematic analysis, making it a valuable resource for studying the socio-political and economic impacts of COVID-19 during a pivotal point in global history.
+
+### Curation Approach
+A targeted subset of GDELT’s columns was selected to streamline analysis on key entities (locations, persons, organizations), thematic tags, and sentiment scores—core components of many knowledge-graph and text analytics workflows. This approach balances comprehensive coverage with manageable data size and performance. The ETL pipeline used to produce these transformations is documented here:
+[https://gist.github.com/donbr/e2af2bbe441f90b8664539a25957a6c0](https://gist.github.com/donbr/e2af2bbe441f90b8664539a25957a6c0).
+
 ## Citation
 
 When using this dataset, please cite both the dataset and original GDELT project: