Improve dataset card: add paper, code, project page, task categories, and tags

This PR updates the dataset card for the OlmoEarth pre-training dataset. It adds:
* `task_categories: ['image-feature-extraction']`, relevant `tags` (`earth-observation`, `remote-sensing`, `multimodal`), and `language: en` to the metadata for better discoverability.
* A clear introductory section including links to the paper (https://huggingface.co/papers/2511.13655), the main GitHub repository (https://github.com/allenai/olmoearth_pretrain), and the project page (https://olmoearth.allenai.org/).

README.md

@@ -1,10 +1,23 @@
 ---
 license: cc-by-4.0
+task_categories:
+- image-feature-extraction
+tags:
+- earth-observation
+- remote-sensing
+- multimodal
+language:
+- en
 ---
 
-This is the pre-training dataset for training the OlmoEarth pre-trained remote sensing foundation models.
+# OlmoEarth Pre-training Dataset
 
-Documentation is on GitHub at https://github.com/allenai/olmoearth_pretrain/blob/main/docs/Pretraining-Dataset.md
+This is the pre-training dataset for training the OlmoEarth pre-trained remote sensing foundation models, as presented in the paper [OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation](https://huggingface.co/papers/2511.13655).
+
+**Project Page:** https://olmoearth.allenai.org/
+**Code Repository:** https://github.com/allenai/olmoearth_pretrain
+
+Documentation for the pretraining dataset can be found on GitHub at https://github.com/allenai/olmoearth_pretrain/blob/main/docs/Pretraining-Dataset.md
 
 The dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en). It includes data from the following sources: