Update dataset card for Deep Learning for Geometry Problem Solving (DL4GPS) survey

#1
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +33 -3
README.md CHANGED
@@ -1,3 +1,33 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ task_categories:
4
+ - text-generation
5
+ tags:
6
+ - mathematical-reasoning
7
+ - geometry
8
+ - survey
9
+ - reading-list
10
+ - multimodal
11
+ ---
12
+
13
+ # Deep Learning for Geometry Problem Solving (DL4GPS)
14
+
15
+ This repository serves as a continuously updated reading list for the paper **[A Survey of Deep Learning for Geometry Problem Solving](https://huggingface.co/papers/2507.11936)**.
16
+
17
+ The paper provides a comprehensive survey of deep learning applications in geometry problem solving, including:
18
+ * A comprehensive summary of the relevant tasks in geometry problem solving.
19
+ * A thorough review of related deep learning methods.
20
+ * A detailed analysis of evaluation metrics and methods.
21
+ * A critical discussion of the current challenges and future directions that can be explored.
22
+
23
+ Our goal is to provide a comprehensive and practical reference of deep learning for geometry problem solving to promote further developments in this field. The full reading list and further details are maintained and continuously updated on the [GitHub repository](https://github.com/majianz/gps-survey). The current deadline for included papers is **April 2025**.
24
+
25
+ ### Sample Usage
26
+
27
+ You can search for corresponding papers by year in folders named after the corresponding time on the GitHub repository.
28
+ Additionally, the repository uses specific indicators to provide more context about each work:
29
+ * :large_blue_circle: indicates that the work is not specifically designed for geometry problems.
30
+ * :small_red_triangle: represents geometry tasks other than geometry problem solving.
31
+ * :x: indicates no deep learning method is used.
32
+
33
+ If you have any suggestions or notice something we missed, please don't hesitate to let us know. You can directly email Jianzhe Ma (majianzhe@ruc.edu.cn), or post an issue on the GitHub repo.