Upload README.md

README.md

@@ -4,16 +4,13 @@ ClimX is a competition focused on developing **fast and accurate machine learnin
 
 ## What’s in this dataset?
 
-This Hugging Face dataset hosts the ClimX training data as **Zarr** archives, plus a lightweight downscaled variant for prototyping.
+This Hugging Face dataset hosts the ClimX **full-resolution training data** (historical + projections). A lightweight, \(16\times\) spatially coarsened variant is provided separately for rapid prototyping (hosted on Kaggle).
 
-- **ClimX.zip**: full dataset (historical + projections)
-- **ClimX-lite.zip**: 16× downscaled “lite” dataset (historical + projections)
-
-The lite dataset is designed to reduce barriers to entry (fast iteration, smaller memory footprint) while keeping the end-to-end workflow consistent.
+The full dataset is distributed in **NetCDF-4** format to support broad compatibility with common climate tooling.
 
 ## Problem summary
 
-Participants train emulators that take **forcing trajectories** (greenhouse gases + aerosols) and optionally past predicted state to produce daily climate fields. The **benchmark target** is not the raw fields themselves, but **15 extreme indices** derived from daily temperature and precipitation.
+Participants train emulators that take **forcing trajectories** (greenhouse gases + aerosols) and optionally past predicted state to produce daily climate fields at the native NorESM2-MM grid (\(192 \times 288\)). The **benchmark target** is not the raw fields themselves, but **15 extreme indices** derived from daily temperature and precipitation.
 
 Primary leaderboard metric (mean standardized MAE over indices):
 
@@ -21,10 +18,13 @@ Primary leaderboard metric (mean standardized MAE over indices):
 S = \frac{1}{15}\sum_{i=1}^{15}\frac{\mathrm{MAE}(\hat{Y}_i, Y_i)}{\sigma_i}
 \]
 
+Here \(\sigma_i\) is computed from the ground-truth \(Y_i\) values for the evaluation split (public/private) and held fixed for all submissions on that split.
+
 ## Links
 
-- Kaggle competition page: `https://www.kaggle.com/competitions/climx`
-- Public challenge repository: `https://github.com/IPL-UV/ClimX`
+- [Kaggle competition](https://www.kaggle.com/competitions/climx)
+- [Public code repository (challenge materials)](https://github.com/IPL-UV/ClimX)
+- [Website](https://ipl-uv.github.io/ClimX/)
 
 ## License and usage