Datasets:

HanselZz
/

MMedFD

@@ -65,16 +65,17 @@ size_categories:
 ---
 ## MMedFD: A Real-World Healthcare Benchmark for Multi-Turn Full-Duplex Automatic Speech Recognition
 ### 📄 **Preprint**: [MMedFD](https://arxiv.org/abs/2509.19817) — For the complete benchmark construction pipeline, evaluation methodology, dataset specifications, and additional implementation details, please refer to the preprint.
 ### ⚠️Data Availability
 Full access requires internal approval and a research-only data use agreement.
 🚫 Non-Commercial Use
 This dataset is provided **for non-commercial research and education only**. **Commercial use is prohibited.**
-Researchers who wish to request full access may contact yangxiao.wxy@antgroup.com with a brief description of their affiliation, project goals, intended use, and data protection plan. Only de-identified data may be shared, and redistribution is prohibited.
 ## 🗂️ Data Release & Access
 - **Public release (partial subset)**: We release **only a portion of the data used for this benchmark’s training and evaluation**. This Lite subset **differs in amount and coverage** from our internal full dataset and is **not** a drop-in replacement for the complete data.
@@ -88,7 +89,7 @@ Researchers who wish to request full access may contact yangxiao.wxy@antgroup.co
 - **Residual risk**: Despite these protections, **re-identification attempts are prohibited**. Please do not try to recover original identities or link samples to outside sources.
-## 📑 How to Cite
 If this code or our benchmark is useful for your research, please consider citing our paper:
 ```bibtex
@@ -101,4 +102,4 @@ If this code or our benchmark is useful for your research, please consider citin
       primaryClass={eess.AS},
       url={https://arxiv.org/abs/2509.19817},
 }
-```

 ---
 ## MMedFD: A Real-World Healthcare Benchmark for Multi-Turn Full-Duplex Automatic Speech Recognition
+<!--
 ### 📄 **Preprint**: [MMedFD](https://arxiv.org/abs/2509.19817) — For the complete benchmark construction pipeline, evaluation methodology, dataset specifications, and additional implementation details, please refer to the preprint.
+ -->
 ### ⚠️Data Availability
 Full access requires internal approval and a research-only data use agreement.
 🚫 Non-Commercial Use
 This dataset is provided **for non-commercial research and education only**. **Commercial use is prohibited.**
+Researchers who wish to request full access may contact us with a brief description of their affiliation, project goals, intended use, and data protection plan. Only de-identified data may be shared, and redistribution is prohibited.
+<!--yangxiao.wxy@antgroup.com  -->
 ## 🗂️ Data Release & Access
 - **Public release (partial subset)**: We release **only a portion of the data used for this benchmark’s training and evaluation**. This Lite subset **differs in amount and coverage** from our internal full dataset and is **not** a drop-in replacement for the complete data.
 - **Residual risk**: Despite these protections, **re-identification attempts are prohibited**. Please do not try to recover original identities or link samples to outside sources.
+<!-- ## 📑 How to Cite
 If this code or our benchmark is useful for your research, please consider citing our paper:
 ```bibtex
       primaryClass={eess.AS},
       url={https://arxiv.org/abs/2509.19817},
 }
+``` -->