Improve CheXpert-plus-RRG dataset card: Add metadata and links

README.md

@@ -37,16 +37,34 @@ configs:
   data_files:
   - split: valid
     path: impression_section/valid-*
+task_categories:
+- image-text-to-text
+license: mit
+language:
+- en
+tags:
+- medical
+- radiology
+- mllm
+- hallucination
+- report-generation
+- chest-x-ray
 ---
+
 # CheXpert-plus-RRG: Radiology Report Generation Subsets
+
+Paper: [CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding](https://huggingface.co/papers/2509.23379)
+Project Page: [https://x-izhang.github.io/CCD/](https://x-izhang.github.io/CCD/)
+Code: [https://github.com/X-iZhang/CCD](https://github.com/X-iZhang/CCD)
+
 CheXpert-plus-RRG curates two report-generation benchmarks from the [CheXpert Plus validation split](https://stanfordmlgroup.github.io/competitions/chexpert/). Each configuration links a frontal chest radiograph with its matching clinical narrative.
 
 ---
 
 ## 📚 Dataset Overview
 | Subset               | Section Target | Split | #Samples | View Coverage        |
-|----------------------|----------------|-------|----------|----------------------|
-| `findings_section`   | Findings       | valid | 62       | Frontal (AP/PA)      |
+|----------------------|----------------|-------|----------|----------------------|\
+| `findings_section`   | Findings       | valid | 62       | Frontal (AP/PA)      |\
 | `impression_section` | Impression     | valid | 202      | Frontal (AP/PA)      |
 
 - Packaged as a validation-only suite for **benchmarking and zero-shot evaluation**.