Update README.md

README.md

@@ -1,17 +1,19 @@
+---
 language: 
-- "en-us"
-pretty_name: "Pretty Name of the Dataset"
+- "en"
+pretty_name: "Shanghai License Plate Auction 2014-2021"
 tags:
 - "License Plate"
 - "Auction"
 - "Timeline"
-license: "Open Source"
+license: "mit"
 task_categories:
-- "Tabular Regression"
-- "Timeline Prediction"
+- "tabular-regression"
+- "time-series-forecasting"
+---
 
 # Introduction
-Second-by-second price updates from the last 60 seconds of the monthly license plate auction in Shanghai from 2014 to 2020, and a few months after that. The seconds data is given as a differential compared to the startprice. I managed to correctly predict and score a license plate on all three years that I worked on the project during 2018-2020. But it's not easy as there are lots of other factors affecting success on top of prediction accuracy.
+Second-by-second price updates from the last 60 seconds of the monthly license plate auction in Shanghai from 2014 to 2020, and a few months of 2021. The seconds data is given as a differential compared to the startprice. I managed to correctly predict and score a license plate on all three years that I worked on the project during 2018-2020. But it's not easy as there are lots of other factors affecting success on top of prediction accuracy.
 
 # Read More
 To learn the details about the auction process and why it is so darn hard, please read my [article series](https://www.linkedin.com/pulse/part-1-applied-ml-timeline-prediction-shanghai-license-tianyi-pan) on LinkedIn.