Add link to paper and GitHub repository

Hi, I'm Niels from the Hugging Face community science team. I've updated the dataset card to include the official paper link and the GitHub repository. I also refined the task categories in the metadata to match the primary tasks supported by the dataset (classification, retrieval, and segmentation).

README.md

@@ -1,29 +1,29 @@
 ---
-license: cc-by-nc-4.0
-pretty_name: Urban-ImageNet
-task_categories:
-  - image-classification
-  - image-to-text
-  - text-to-image
-  - zero-shot-image-classification
-  - image-segmentation
 language:
-  - zh
-  - en
+- zh
+- en
+license: cc-by-nc-4.0
 size_categories:
-  - 1M<n<10M
+- 1M<n<10M
+task_categories:
+- image-classification
+- image-to-text
+- image-segmentation
+pretty_name: Urban-ImageNet
 tags:
-  - urban-perception
-  - social-media
-  - weibo
-  - image-text-retrieval
-  - instance-segmentation
-  - computational-urban-studies
-  - chinese-cities
+- urban-perception
+- social-media
+- weibo
+- image-text-retrieval
+- instance-segmentation
+- computational-urban-studies
+- chinese-cities
 ---
 
 # Urban-ImageNet
 
+[Paper](https://huggingface.co/papers/2605.09936) | [Code](https://github.com/yiasun/dataset-2)
+
 Urban-ImageNet is a large-scale multimodal dataset and benchmark for urban commercial space perception. It contains more than 2 million public Weibo image-text pairs collected from 61 commercial sites in 24 Chinese cities across 2019-2025. The dataset is organized by the HUSIC taxonomy, a 10-class framework for urban commercial imagery, and supports three benchmark tasks:
 
 - **T1 Urban scene semantic classification**
@@ -190,9 +190,9 @@ Prohibited uses include re-identification, account reconstruction, face recognit
 
 ```bibtex
 @misc{urbanimagenet2026,
-  title  = {Urban-ImageNet: A Large-Scale Multi-Modal Dataset for Urban Space Perception Benchmarking},
+  title  = {Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception},
   author = {Urban-ImageNet Research Team},
   year   = {2026},
   note   = {Dataset and benchmark for NeurIPS 2026 Evaluations and Datasets Track}
 }
-```
+```