Update README.md

README.md

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 ---
 task_categories:
 - time-series-forecasting
+size_categories:
+- 1M<n<10M
 ---
 
 # Time Series Forecasting Benchmark Datasets
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 * **`NN5`** This dataset was used in the NN5 forecasting competition. It contains 111 time series from the banking domain with the goal of predicting daily cash withdrawals from ATMs in the UK. Missing values were replaced by the median across all corresponding days of the week throughout the entire series.
 * **`Fred-MD`** This dataset contains 107 monthly time series reflecting various macroeconomic indicators sourced from the Federal Reserve Bank’s FRED-MD database. The series have been differenced and log-transformed following established practices in the literature.
 * **`Web`** This dataset was used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145,063 daily time series representing the number of hits or web traffic for Wikipedia pages from July 1, 2015, to September 10, 2017. Missing values were replaced with zeros.
-* **`M4`** The M4 dataset comprises 100,000 time series from various domains, used in the fourth Makridakis forecasting competition (M4 Competition) organized by Spyros Makridakis. It includes series with multiple frequencies—yearly, quarterly, monthly, weekly, daily, and hourly—along with an Info file providing details such as series ID, category, frequency, forecast horizon, seasonal period, and starting date.
+* **`M4`** The M4 dataset comprises 100,000 time series from various domains, used in the fourth Makridakis forecasting competition (M4 Competition) organized by Spyros Makridakis. It includes series with multiple frequencies—yearly, quarterly, monthly, weekly, daily, and hourly—along with an Info file providing details such as series ID, category, frequency, forecast horizon, seasonal period, and starting date.