Add task category and links to paper and code (#1)

- Add task category and links to paper and code (a0a9f8b5e7f0f79257b123622c24aa5867b9453f)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,4 +1,11 @@
 ---
+language:
+- en
+license: cc
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-text-to-text
 dataset_info:
   features:
   - name: image
@@ -66,19 +73,16 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-license: cc
-language:
-- en
 tags:
 - planet
 - multimodal
 - retrieval
-size_categories:
-- 1K<n<10K
 ---
 
 # Landform Retrieval
 
+[**Paper**](https://huggingface.co/papers/2602.13961) | [**Code**](https://github.com/ml-stat-Sustech/MarsRetrieval)
+
 ## Dataset Summary
 
 This dataset is Task 2 of [**MarsRetrieval**](https://github.com/ml-stat-Sustech/MarsRetrieval), a retrieval-centric benchmark for evaluating vision-language models (VLMs) on Mars geospatial discovery. Task 2 evaluates **concept-to-instance generalization** for Martian geomorphology. Given a textual geomorphic concept, the model must retrieve its corresponding visual instances from a curated Martian image gallery. The dataset comprises **1,185** carefully curated image patches collected from CTX and HiRISE imagery. The landforms follow a two-level geomorphology taxonomy: