Update README.md

README.md

@@ -6,142 +6,92 @@ language:
 - zh
 tags:
 - speaker-diarization
+- meeting-transcription
+- bilingual
 license: apache-2.0
 ---
-# Dataset Card for Dataset Name
 
-<!-- Provide a quick summary of the dataset. -->
-
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+# Dataset Card for Multi-Talker-SD
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
-
+**Multi-Talker-SD** is a large-scale bilingual (English–Mandarin) multi-speaker meeting dataset designed to support research on **speaker diarization** and **meeting transcription**.  
 
+- **Size:** 1,000 simulated meetings  
+- **Participants per meeting:** 10–30 speakers  
+- **Average duration:** ~20 minutes per meeting, up to one hour  
+- **Languages:** English, Mandarin (code-switching possible)  
+- **Audio characteristics:** realistic speaker overlap, turn-taking patterns, reverberation, and noise injection  
+- **Metadata:** speaker gender, language, session type, utterance timing  
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+The audio is synthesized using utterances from **AIShell-1** (Mandarin) and **LibriSpeech** (English), with added noise and reverberation to approximate real meeting conditions.
 
-### Dataset Sources [optional]
+- **Curated by:** AISG Speech Lab  
+- **License:** Apache-2.0  
 
-<!-- Provide the basic links for the dataset. -->
+### Dataset Sources
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **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
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+- Research on **speaker diarization** under multilingual and overlapped speech conditions  
+- **Meeting transcription** in bilingual settings  
+- Controlled experiments on the effects of speaker metadata (gender, language, etc.)  
+- Training and evaluation of **overlap-aware diarization models**  
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+- **Audio files (.wav):** multi-speaker simulated meetings  
+- **RTTM files:** diarization annotations with speaker labels and timestamps  
+- **Metadata files:** speaker profiles including gender, language, and session type  
 
-[More Information Needed]
+Each example contains:
+- Meeting ID  
+- List of speakers (with attributes)  
+- Audio waveform  
+- RTTM segmentation  
 
 ## Dataset Creation
 
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
-
-#### Who are the source data producers?
-
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-
-[More Information Needed]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
+- **English speech:** LibriSpeech  
+- **Mandarin speech:** AIShell-1  
+- **Noise sources:** point-source and diffuse-field noise corpora  
+- **Processing:** audio mixing, reverberation simulation, overlap control  
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+### Annotations
 
-[More Information Needed]
+- Speaker metadata derived from source datasets (AIShell-1, LibriSpeech)  
 
-#### Who are the annotators?
+### Personal and Sensitive Information
 
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
+No personally identifiable or sensitive data is included. All speech is sourced from **public corpora**.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+- **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
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
+Users should be cautious when generalizing results obtained on this dataset to real-world meetings. Complementary evaluation on **real conversational datasets** is recommended.
 
-[More Information Needed]
+## Citation
 
-## Dataset Card Contact
+If you use Multi-Talker-SD in your research, please cite:
 
-[More Information Needed]
+```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}},
+}