Update task category and add paper link to dataset card

Hi! I'm Niels from the community science team at Hugging Face.

This PR improves the dataset card for TEDBench by:
- Updating the `task_categories` to `graph-ml`.
- Adding a link to the associated paper: "Protein Fold Classification at Scale: Benchmarking and Pretraining".
- Ensuring the GitHub repository is linked for easier access to the source code and training scripts.

These changes help researchers better understand the context of the dataset and make it more discoverable on the Hub.

README.md

@@ -1,31 +1,32 @@
 ---
+language:
+- en
 license: bsd-3-clause
+size_categories:
+- 100K<n<1M
 task_categories:
-  - other
+- graph-ml
 task_ids:
-  - multi-class-classification
-language:
-  - en
-tags:
-  - protein
-  - structure
-  - fold-classification
-  - tedbench
-  - alphafold
-  - cath
+- multi-class-classification
 pretty_name: TEDBench
-size_categories:
-  - 100K<n<1M
+tags:
+- protein
+- structure
+- fold-classification
+- tedbench
+- alphafold
+- cath
 ---
 
 # TEDBench
 
+[**Paper**](https://huggingface.co/papers/2605.18552) | [**GitHub**](https://github.com/BorgwardtLab/TEDBench)
+
 Large-scale, non-redundant benchmark for **protein fold classification** built from
 [Encyclopedia of Domains (TED)](https://zenodo.org/records/13908086) annotations
 projected onto the Foldseek-clustered AlphaFold Database.
 
-Part of the [TEDBench](https://github.com/BorgwardtLab/TEDBench) benchmark
-(ICML 2026).
+This dataset was presented in the paper [Protein Fold Classification at Scale: Benchmarking and Pretraining](https://huggingface.co/papers/2605.18552).
 
 ## Dataset statistics
 
@@ -108,4 +109,4 @@ python main_test_ted.py datamodule=hf_cath_test \
 
 ## License
 
-BSD-3-Clause
+BSD-3-Clause