Update README.md

README.md

@@ -35,8 +35,6 @@ The audio is synthesized using utterances from **AIShell-1** (Mandarin) and **Li
 - **Repository:** [GitHub - Multi-Talker-SD](https://github.com/wyhzhen6/FairDialogue)  
 - **Dataset on HF Hub:** [Multi-Talker-SD](https://huggingface.co/datasets/yihao005/Multi-Talker-SD)  
 
-## Uses
-
 ### Direct Use
 
 - Research on **speaker diarization** under multilingual and overlapped speech conditions  
@@ -65,32 +63,7 @@ Each example contains:
 - **Noise sources:** point-source and diffuse-field noise corpora  
 - **Processing:** audio mixing, reverberation simulation, overlap control  
 
-### Annotations
-
-- Speaker metadata derived from source datasets (AIShell-1, LibriSpeech)  
-
 ### Personal and Sensitive Information
 
 No personally identifiable or sensitive data is included. All speech is sourced from **public corpora**.
 
-## Bias, Risks, and Limitations
-
-- **Synthetic nature:** Conversations are generated by concatenating utterances from read speech corpora, which may not fully capture spontaneous conversational dynamics.  
-- **Accent and demographic bias:** Limited to AIShell-1 (Mandarin, mostly standard accent) and LibriSpeech (English, US/UK accents), which may not represent broader linguistic diversity.  
-- **Overlap control:** Overlap patterns are simulated and may differ from real-world meeting interactions.  
-
-### Recommendations
-
-Users should be cautious when generalizing results obtained on this dataset to real-world meetings. Complementary evaluation on **real conversational datasets** is recommended.
-
-## Citation
-
-If you use Multi-Talker-SD in your research, please cite:
-
-```bibtex
-@misc{multi_talker_sd,
-  title = {Multi-Talker-SD: Large-Scale Bilingual Meeting Diarization Dataset},
-  author = {Wu, Yihao and Zheng, Haorui and Zhang, Junjie and Chen, Weiguang and Tran, The Anh and Adnan, Azmat and Rao, Wei and Xionghu, Zhong and Chng, Eng Siong},
-  year = {2025},
-  howpublished = {\url{https://huggingface.co/datasets/yihao005/Multi-Talker-SD}},
-}