Update dataset card: add task category, tags, and correct links

README.md

@@ -1,4 +1,16 @@
 ---
+language:
+- en
+license: cc-by-sa-4.0
+size_categories:
+- n<1K
+task_categories:
+- image-text-to-text
+pretty_name: ROME
+tags:
+- benchmark
+- reasoning
+- vlm
 dataset_info:
   features:
   - name: task_category
@@ -40,21 +52,13 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-license: cc-by-sa-4.0
-task_categories:
-- visual-question-answering
-language:
-- en
-pretty_name: ROME
-size_categories:
-- n<1K
 ---
 
 ![LRM-Eval](src/LRM-Eval.png)
 
-🏠[Home & Leaderboard](https://github.com/flageval-baai/LRM-Eval) | 🤗[Data](https://huggingface.co/datasets/) | 🤗[Evaluation Response](https://huggingface.co/datasets/) | 💻[Code](https://github.com/flageval-baai/ROME-evaluation) | 📄[Paper](https://arxiv.org/pdf/2509.17177) 
+🏠[Project Page & Leaderboard](https://flageval-baai.github.io/LRM-Eval/) | 💻[Code](https://github.com/flageval-baai/ROME-evaluation) | 📄[Paper](https://huggingface.co/papers/2509.17177) | 🤗[Data](https://huggingface.co/datasets/FlagEval/ROME) | 🤗[Evaluation Response](https://huggingface.co/datasets/)
 
-This repository contains a visual reasoning benchmark named ROME from the paper [A Preliminary Contamination-Free Evaluation of Reasoning Models](https://arxiv.org/).
+This repository contains a visual reasoning benchmark named ROME from the paper [FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions](https://huggingface.co/papers/2509.17177).
 
 ROME include 8 subtasks (281 high-quality questions in total). Each sample has been verified to ensure that images are necessary to answer correctly:
 * Academic