Update README.md

README.md

@@ -2,6 +2,9 @@
 license: cc-by-sa-3.0
 tags:
 - medical
+- endoscopy
+- VQA
+- VLM
 language:
 - en
 task_categories:
@@ -11,6 +14,9 @@ configs:
   data_files:
   - split: test
     path: EndoBench.tsv
+pretty_name: EndoBench
+size_categories:
+- 1K<n<10K
 ---
 # <div align="center"><b> EndoBench </b></div>
 
@@ -19,6 +25,7 @@ configs:
 This repository is the official implementation of the paper **[EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis](https://huggingface.co/papers/2505.23601)**.
 
 ## 🚀 News
+- [21/10/2025] We release a new open-set challenging VQA benchmark [EndoBench-extended](https://huggingface.co/datasets/Saint-lsy/EndoBench-Extended).
 - [19/09/2025] 🎉🎉Our EndoBench was accepted by NeurIPS'25 D&B Track!!!
 
 ## ☀️ Tutorial 
@@ -59,9 +66,12 @@ python run.py --data EndoBench --model Qwen2.5-VL-7B-Instruct --mode infer
 
 3. You can find more details on the [ImageMCQDataset Class](https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py).
 
+## 🏥 EndoBench-Extended
+This [EndoBench-extended](https://huggingface.co/datasets/Saint-lsy/EndoBench-Extended) dataset is the extended version of Endobench, which includes 48 images and 91 open-set VQA pairs, carefully selected by medical experts to ensure clinical relevance and diagnostic difficulty.  The EndoBench-extended specifically focuses on challenging and underrepresented cases, including rare pathologies, overlapping lesions, atypical anatomical presentations, and post-surgical endoscopic views.
+
 ## Disclaimers
 
 The guidelines for the annotators emphasized strict compliance with copyright and licensing rules from the initial data source, specifically avoiding materials from websites that forbid copying and redistribution.
 Should you encounter any data samples potentially breaching the copyright or licensing regulations of any site, we encourage you to contact us. Upon verification, such samples will be promptly removed.
 
-Greatly appreciate to all the authors of these datasets for their contributions to the field of endoscopy analysis.
+Greatly appreciate to all the authors of these datasets for their contributions to the field of endoscopy analysis.