Update README.md

README.md

@@ -4,17 +4,23 @@ language:
 - en
 tags:
 - urban computing
-- spatial-temporal datamining
+- spatial-temporal data mining
 - trajectory analysis
 size_categories:
 - 1M<n<10M
+configs:
+- config_name: default
+  data_files:
+    - "trajectory_sample.csv"
+    - "meta_sample.json"
+viewer: true
 ---
 
 ## WorldTrace Dataset
 
 ### 🗺️ Overview
 
-WorldTrace is a large-scale, high-quality, globally-covering GPS trajectory dataset.
+WorldTrace is a large-scale, high-quality, globally covering GPS trajectory dataset.
 
 Trajectory data provides an important data source for understanding human mobility patterns and transforming urban intelligence. However, existing trajectory modeling methods have limitations in terms of task specificity, regional dependency, and data sensitivity. The construction of the WorldTrace dataset aims to address these challenges by providing unprecedented geographical diversity and data scale, thereby promoting the development of region-agnostic universal trajectory models. This dataset contains 2.45 million trajectories collected from 70 countries worldwide, totaling 8.8 billion raw GPS points, making it the most geographically comprehensive and diverse trajectory dataset currently available.