Add links to paper and code (#1)

- Add links to paper and code (5cb8e4052cfc955375c25491631cbec9c0be11d1)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,5 +1,7 @@
 ---
 license: cc-by-4.0
+size_categories:
+- 10K<n<100K
 task_categories:
 - video-classification
 - video-text-to-text
@@ -10,12 +12,13 @@ tags:
 - event-detection
 - nature
 - eccv
-size_categories:
-- 10K<n<100K
 ---
 
 # TRINITY Dataset
 
+**Paper:** [TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight Detection](https://huggingface.co/papers/2608.29577)  
+**Code:** [GitHub Repository](https://github.com/vanilladucky/TRINITY)
+
 TRINITY accompanies our ECCV 2026 paper *"TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight Detection"* and provides precomputed video features for three complementary highlight-detection perspectives: **Emotion**, **Event**, and **Nature**.
 
 Traditional highlight detection assumes a single, event-centric notion of saliency, which fails to generalize to unconstrained personal videos where highlights are heterogeneous and perspective-dependent. TRINITY decomposes highlight saliency into three complementary dimensions within a unified temporal framework:
@@ -95,4 +98,4 @@ If you use this dataset, please cite our paper:
 
 ## License
 
-Released under CC BY 4.0. Underlying source videos belong to their original datasets/owners (e.g. Mr. HiSum, YouTube); this release distributes only extracted features and derived annotations.
+Released under CC BY 4.0. Underlying source videos belong to their original datasets/owners (e.g. Mr. HiSum, YouTube); this release distributes only extracted features and derived annotations.