Upload README.md

README.md

@@ -11,8 +11,8 @@ tags:
   - netcdf
 license: mit
 task_categories:
-  - regression
   - time-series-forecasting
+  - other
 ---
 
 <!-- NOTE: Math formatting convention: inline math uses \\( ... \\) and math blocks use $$ ... $$. -->
@@ -25,7 +25,7 @@ ClimX is a challenge about building **fast and accurate machine learning emulato
 
 This dataset contains the **full-resolution** ClimX data in **NetCDF-4** format (targets + forcings, depending on split) with a native grid of \\(192 \times 288\\) (about \\(1^\circ\\)) resolution. It also contains the **lite-resolution** version, with a native grid of \\(12 \times 18\\) (about \\(16^\circ\\)) resolution:
 
-- **Lite-resolution**: <1GB, **\\(16\times\\)** spatially coarsened, meant for rapid prototyping.
+- **Lite-resolution**: <1GB, \\(16\times\\) spatially coarsened, meant for rapid prototyping.
 - **Full-resolution**: ~200GB, full-resolution data for large-scale training.
 
 ## What you will do (high level)
@@ -119,11 +119,4 @@ print(ds)
 
 ## License and usage
 
-The dataset is released under **MIT**. In addition, if you are participating in the ClimX competition, please follow the competition rules (notably: restrictions on external climate training data and redistribution of competition data).
-
-## Citation
-
-If you use this dataset in academic work, please cite the ClimX challenge materials and the underlying NorESM2 model description:
-
-- Seland, Ø., Bentsen, M., Graff, L. S., et al. (2020). *The Norwegian Earth System Model, NorESM2 – Evaluation of the CMIP6 DECK and historical simulations*. Geoscientific Model Development.
-
+The dataset is released under **MIT**. In addition, if you are participating in the ClimX competition, please follow the competition rules (notably: restrictions on external climate training data and redistribution of competition data).