Update dataset card with paper link, code, and task category

Hi! I'm Niels, part of the community science team at Hugging Face.

This PR improves the dataset card for TEDBench-AFDB by:
- Linking the dataset to the paper [Protein Fold Classification at Scale: Benchmarking and Pretraining](https://huggingface.co/papers/2605.18552).
- Adding a link to the official [GitHub repository](https://github.com/BorgwardtLab/TEDBench).
- Updating the `task_categories` to `graph-ml`.

This helps researchers find and cite your work more easily when browsing the Hub.

README.md

@@ -1,30 +1,28 @@
 ---
+language:
+- en
 license: bsd-3-clause
+size_categories:
+- 100K<n<10M
 task_categories:
-  - other
-task_ids:
-  - other
-language:
-  - en
-tags:
-  - protein
-  - structure
-  - pretraining
-  - tedbench
-  - alphafold
-  - foldseek
+- graph-ml
 pretty_name: TEDBench-AFDB (pretraining)
-size_categories:
-  - 100K<n<1M
+tags:
+- protein
+- structure
+- pretraining
+- tedbench
+- alphafold
+- foldseek
 ---
 
 # TEDBench-AFDB (pretraining corpus)
 
-Representative proteins from Foldseek-clustered AlphaFold Database (pLDDT > 80),
-used to pretrain MiAE (Masked Invariant Autoencoders) in the TEDBench benchmark.
+[**Paper**](https://huggingface.co/papers/2605.18552) | [**GitHub**](https://github.com/BorgwardtLab/TEDBench)
+
+Representative proteins from Foldseek-clustered AlphaFold Database (pLDDT > 80), used to pretrain **MiAE (Masked Invariant Autoencoders)** in the **TEDBench** benchmark. 
 
-Part of the [TEDBench](https://github.com/BorgwardtLab/TEDBench) benchmark
-(ICML 2026).
+TEDBench is a large-scale, non-redundant benchmark for protein fold classification constructed from the Encyclopedia of Domains (TED) and Foldseek-clustered AlphaFold structures.
 
 ## Dataset statistics
 
@@ -71,14 +69,13 @@ python main_pretrain.py datamodule=hf_afdbfs
 
 # Multi-GPU (effective batch size 4096)
 python main_pretrain.py \
-    experiment=tedbench_base_n4g8
-    datamodule=hf_afdbfs \
+    experiment=tedbench_base_n4g8 \
+    datamodule=hf_afdbfs
 ```
 
 ## Source data
 
-- [Foldseek](https://afdb-cluster.steineggerlab.workers.dev) cluster representatives
-  from AlphaFold Database v4 (pLDDT > 80)
+- [Foldseek](https://afdb-cluster.steineggerlab.workers.dev) cluster representatives from AlphaFold Database v4 (pLDDT > 80)
 
 ## Citation
 
@@ -93,4 +90,4 @@ python main_pretrain.py \
 
 ## License
 
-BSD-3-Clause
+BSD-3-Clause