Link dataset to paper and repository

README.md

@@ -1,24 +1,26 @@
 ---
+language:
+- en
 license: cc-by-4.0
 task_categories:
-  - image-to-text
-  - visual-question-answering
-language:
-  - en
+- image-to-text
+- image-text-to-text
 pretty_name: ECA-ToS-Benchmarks
 tags:
-  - continual-learning
-  - vision-language
-  - image-captioning
-  - visual-question-answering
-  - open-ended-image-to-text-generation
-  - topic-split
-  - tos
+- continual-learning
+- vision-language
+- image-captioning
+- visual-question-answering
+- open-ended-image-to-text-generation
+- topic-split
+- tos
 ---
 
 # ECA-ToS-Benchmarks
 
-This dataset provides the ToS benchmark annotations used in **ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation**.
+This dataset provides the ToS benchmark annotations used in the paper **[ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation](https://huggingface.co/papers/2606.12633)**.
+
+[**Official Code**](https://github.com/Snowball0823/ECA)
 
 ToS is designed for continual learning in open-ended image-to-text generation. Each image is assigned to a task by its dominant visual topic. Other visible topics remain in the sample, so tasks shift over time while shared concepts can still reappear across tasks.
 
@@ -125,4 +127,4 @@ If you use this dataset, please cite our paper.
   booktitle={International Conference on Machine Learning},
   year={2026}
 }
-```
+```