Add paper link, GitHub link, and task category

README.md

@@ -1,10 +1,13 @@
 ---
-license: cc-by-sa-4.0
 language: en
+license: cc-by-sa-4.0
+task_categories:
+- image-text-to-text
 tags:
 - image-classification
 - computer-vision
 - year-prediction
+arxiv: 2512.21337
 configs:
 - config_name: default
   data_files:
@@ -43,7 +46,7 @@ dataset_info:
   - name: test
     num_bytes: 218467609.984
     num_examples: 11087
-  - name: valid
+  - name: validMagic
     num_bytes: 218291058.874
     num_examples: 11122
   - name: wiki_dataset
@@ -55,6 +58,8 @@ dataset_info:
 
 # YearGuessr Dataset
 
+[**Project Page**](https://sytwu.github.io/BeyondMemo/) | [**Paper**](https://huggingface.co/papers/2512.21337) | [**GitHub**](https://github.com/Sytwu/BeyondMemo)
+
 This dataset, `Morris0401/Year-Guessr-Dataset`, is a comprehensive and large-scale collection of architectural images and associated metadata, designed for global building age estimation, specifically treating age as an ordinal variable. It provides an unprecedented benchmark for evaluating building visual recognition, cross-regional generalization, and multi-modal reasoning tasks.
 
 ## Motivation and Background
@@ -120,10 +125,6 @@ The complete feature set across all splits is:
 -   `Views`: Number of Wikipedia page views (integer, if available), useful for popularity analysis.
 -   `Description`: A general textual description of the building (string, if available).
 
-### Additional Files
--   **`images_metadata.parquet`**: Metadata for all images in the `images/` directory, including `image_path`, `partition`, and `filename`.
--   **`csv/` Directory**: Contains raw CSV files (`train.csv`, `test.csv`, `valid.csv`, `wiki_dataset.csv`) for reference.
-
 ### Image Directory
 -   **`images/`**: Contains image files organized in subdirectories (e.g., `part_1/`, `part_2/`, ..., `part_8/`) with `.jpg` files.
     -   Example path: `images/part_1/1.jpg`.
@@ -137,4 +138,21 @@ You can load the dataset using the Hugging Face `datasets` library:
 from datasets import load_dataset
 
 dataset = load_dataset("Morris0401/Year-Guessr-Dataset")
-print(dataset)
+print(dataset)
+```
+
+## Citation
+
+If you find this dataset helpful, please consider citing:
+
+```bibtex
+@misc{szutu2025memorizationmultimodalordinalregression,
+      title={Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models}, 
+      author={Li-Zhong Szu-Tu and Ting-Lin Wu and Chia-Jui Chang and He Syu and Yu-Lun Liu},
+      year={2025},
+      eprint={2512.21337},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2512.21337}, 
+}
+```