Improve dataset card: Add related survey paper and GitHub

This PR updates the TheoremQA dataset card to include a link to the relevant survey paper on Deep Learning for Geometry Problem Solving (https://huggingface.co/papers/2507.11936) and its associated GitHub repository (https://github.com/majianz/gps-survey), which serves as a continuously updated reading list for the field.

It also adds `geometry` and `mathematical-reasoning` tags to the metadata for better discoverability.

README.md

@@ -1,4 +1,12 @@
 ---
+language:
+- en
+license: mit
+size_categories:
+- n<1K
+task_categories:
+- question-answering
+pretty_name: TheoremQA
 dataset_info:
   features:
   - name: Question
@@ -20,17 +28,12 @@ configs:
   data_files:
   - split: test
     path: data/test-*
-license: mit
-task_categories:
-- question-answering
-language:
-- en
 tags:
 - science
-pretty_name: TheoremQA
-size_categories:
-- n<1K
+- geometry
+- mathematical-reasoning
 ---
+
 # Dataset Card for "TheoremQA"
 
 ## Introduction
@@ -49,5 +52,11 @@ for d in dataset['test']:
 ## Arxiv Paper:
 https://arxiv.org/abs/2305.12524
 
+## Related Survey Paper:
+This dataset is mentioned in the survey paper [A Survey of Deep Learning for Geometry Problem Solving](https://huggingface.co/papers/2507.11936).
+
 ## Code
-https://github.com/wenhuchen/TheoremQA/tree/main
+https://github.com/wenhuchen/TheoremQA/tree/main
+
+## Related Code (Survey Reading List)
+https://github.com/majianz/gps-survey