Update README.md

README.md

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 This dataset card contains usage instructions and metadata for all data-products released with our paper:  
 *Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery.* We release 3 modified versions of 3 benchmark datasets spanning land-cover segmentation, tree-cover regression, and multi-label land-cover classification tasks. These datasets are augmented with auxiliary, geographic inputs. A full list of contributed data products is shown in the table below.
 
-| **Dataset**                          | **Task Description**               | **Multispectral Input**     | **Model**  | **Additional Data Layers**                            | **OOD Test Set Present?** |
-|--------------------------------------|------------------------------------|-----------------------------|------------|-------------------------------------------------------|---------------------------|
-| [SustainBench](https://arxiv.org/abs/2111.04724)      | Farmland boundary delineation      | Sentinel-2 RGB             | U-Net      | OSM rasters, EU-DEM                                    | ✗                         |
-| [EnviroAtlas](https://arxiv.org/abs/2202.14000)       | Land-cover segmentation            | NAIP RGB + NIR              | FCN        | [Prior](https://arxiv.org/abs/2202.14000), OSM rasters | ✓                         |
-| [BigEarthNet v2.0](https://bigearth.net/static/documents/Description_BigEarthNet_v2.pdf) | Land-cover classification          | Sentinel-2 (10 bands)       | ViT        | [SatCLIP](https://arxiv.org/abs/2311.17179) embeddings | ✓                         |
-| [USAVars](https://arxiv.org/abs/2010.08168)           | Tree-cover regression               | NAIP RGB + NIR              | ResNet-50  | OSM rasters                                        | ✗                         |
+<table>
+  <thead>
+    <tr>
+      <th>Dataset</th>
+      <th>Task Description</th>
+      <th>Multispectral Input</th>
+      <th>Model</th>
+      <th>Additional Data Layers</th>
+      <th colspan="2">Dataset Size</th>
+      <th>OOD Test Set Present?</th>
+    </tr>
+    <tr>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th>Compressed</th>
+      <th>Uncompressed</th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td><a href="https://arxiv.org/abs/2111.04724">SustainBench</a></td>
+      <td>Farmland boundary delineation</td>
+      <td>Sentinel-2 RGB</td>
+      <td>U-Net</td>
+      <td>OSM rasters, EU-DEM</td>
+      <td>1.76 GB</td>
+      <td>1.78 GB</td>
+      <td>✗</td>
+    </tr>
+    <tr>
+      <td><a href="https://arxiv.org/abs/2202.14000">EnviroAtlas</a></td>
+      <td>Land-cover segmentation</td>
+      <td>NAIP RGB + NIR</td>
+      <td>FCN</td>
+      <td><a href="https://arxiv.org/abs/2202.14000">Prior</a>, OSM rasters</td>
+      <td>N/A</td>
+      <td>N/A</td>
+      <td>✓</td>
+    </tr>
+    <tr>
+      <td><a href="https://bigearth.net/static/documents/Description_BigEarthNet_v2.pdf">BigEarthNet v2.0</a></td>
+      <td>Land-cover classification</td>
+      <td>Sentinel-2 (10 bands)</td>
+      <td>ViT</td>
+      <td><a href="https://arxiv.org/abs/2311.17179">SatCLIP</a> embeddings</td>
+      <td>120 GB (raw), 91 GB (H5)</td>
+      <td>205 GB (raw), 259 GB (H5) </td>
+      <td>✓</td>
+    </tr>
+    <tr>
+      <td><a href="https://arxiv.org/abs/2010.08168">USAVars</a></td>
+      <td>Tree-cover regression</td>
+      <td>NAIP RGB + NIR</td>
+      <td>ResNet-50</td>
+      <td>OSM rasters</td>
+      <td> 23.56 GB </td>
+      <td> 167 GB</td>
+      <td>✗</td>
+    </tr>
+  </tbody>
+</table>
+
 
 ## Usage Instructions
 * Download the `.h5.gz` files in `data/<source dataset name>`. Our source datasets include SustainBench, USAVars, and BigEarthNet2.0. Each dataset with the augmented geographic inputs is detailed in [this section 📦](#geolayersused)