Update README.md

README.md

@@ -40,6 +40,17 @@ The dataset is **manually annotated by trained experts** and provides fine-grain
 | **Domains** | Tutoring, Social Chat |
 | **Annotation** | Expert human annotation |
 
+## Domains & Directory Layout
+
+After download, each conversation is stored under a **top-level folder** whose name indicates the scenario. Match the folder prefix to the domain:
+
+| Scenario | Folder prefix | Example |
+| :--- | :--- | :--- |
+| **Tutoring** | starts with `edu` or `Edu` | `Edu_20240101_001/` |
+| **Social Chat** | starts with `none_Edu` | `none_Edu_20240101_001/` |
+
+Within each folder you will find paired multi-channel audio (`.wav`) and annotation (`.json`) files. The same naming convention applies to both SmoothConv and DuplexConv.
+
 ## Dataset Statistics
 
 <p align="center">
@@ -144,7 +155,7 @@ for seg in anno["instances"]:
 ```bibtex
 @article{wang2026duoconv,
   title   = {DuoConv: Large-Scale Chinese Full-Duplex Speech Datasets for Conversational AI},
-  author  = {Chengyou Wang and Chunjiang He and Bo Wu and Yuyu Ji and Jimeng Zheng and Ruofei Chen and Lei Xie},
+  author  = {Chengyou Wang and Chunjiang He and Zhou Zhu and Lei Xie},
   journal = {arXiv preprint arXiv:0000.00000},
   year    = {2026},
   note    = {Placeholder; paper forthcoming}
@@ -152,6 +163,7 @@ for seg in anno["instances"]:
 ```
 
 
+
 ## Contact
 
 [jimz@qualialabs.ai](mailto:jimz@qualialabs.ai)