Add paper link and task category metadata

README.md

@@ -1,23 +1,30 @@
 ---
 configs:
-  - config_name: default
-    data_files:
-      - split: test
-        path: data/test-*.parquet
-  - config_name: 2d_single_loop
-    data_files:
-      - split: test
-        path: data/2d_single_loop/test-*.parquet
-  - config_name: 2d_maze_loop
-    data_files:
-      - split: test
-        path: data/2d_maze_loop/test-*.parquet
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*.parquet
+- config_name: 2d_single_loop
+  data_files:
+  - split: test
+    path: data/2d_single_loop/test-*.parquet
+- config_name: 2d_maze_loop
+  data_files:
+  - split: test
+    path: data/2d_maze_loop/test-*.parquet
+license: mit
+task_categories:
+- image-text-to-text
+language:
+- en
 ---
 
 # OrdinalBench
 
 **OrdinalBench** is a synthetic benchmark for evaluating ordinal reasoning capabilities of vision-language models (VLMs). It tests whether models can correctly identify the N-th element along structured visual paths — circular loops and maze traversals — in 2D top-down scenes.
 
+The dataset is introduced in the paper [OrdinalBench: A Benchmark Dataset for Diagnosing Generalization Limits in Ordinal Number Understanding of Vision-Language Models](https://huggingface.co/papers/2603.07786).
+
 🌐 **Project page:** [ordinalbench.github.io](https://ordinalbench.github.io)
 🔧 **Evaluation toolkit:** [github.com/ordinalbench/ordinalbench-public](https://github.com/ordinalbench/ordinalbench-public)
 📦 **Dataset:** [huggingface.co/datasets/u-lec16/ordinalbench-dataset](https://huggingface.co/datasets/u-lec16/ordinalbench-dataset)
@@ -103,4 +110,4 @@ Currently provides a single `test` split designed for zero-shot evaluation. Trai
 
 ## License
 
-MIT
+MIT