Enhance dataset card: Add metadata, paper & code links, baselines, and improve license/citation

README.md

@@ -1,5 +1,17 @@
+---
+language:
+- zh
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+license: cc-by-nc-sa-4.0
+---
+
 # WILDELDER: A CHINESE ELDERLY SPEECH DATASET FROM THE WILD WITH FINE-GRAINED MANUAL ANNOTATIONS
 
+Paper: [WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations](https://huggingface.co/papers/2510.09344)
+Code: [https://github.com/NKU-HLT/WildElder](https://github.com/NKU-HLT/WildElder)
+
 WildElder is a speech dataset focused on elderly scenarios. It contains raw audio and corresponding text annotations and can be used for ASR, speaker-related tasks, and front-/back-end speech processing research. The data was collected and cleaned from real-world environments to preserve diversity and realistic noise conditions.
 
 ## Directory Structure
@@ -21,6 +33,18 @@ WildElder is a speech dataset focused on elderly scenarios. It contains raw audi
   - Example:
     - old_bozhu_download_B_bozhu_1_1_audio_004 勾股定理就是三角形斜边的平方等于两个直角边的平方和，
 
+## Baselines
+- Git clone [Wenet](https://github.com/wenet-e2e/wenet) repository.
+- Please follow the examples provided in the Wenet repository, and use the configurations we provide for your experiments.
+- The table below summarizes the performance of different models under various evaluation metrics:
+
+| Model         | Loss            | Parameter | CTC Greedy | CTC Beam | Attention | Attention Rescoring |
+|---------------|----------------|-----------|------------|----------|-----------|---------------------|
+| Transformer   | CTC+ATT        | 29.80M    | 37.44      | 37.28    | 47.54     | 36.30               |
+| Conformer     | CTC+ATT        | 31.94M    | 32.51      | 32.48    | 39.58     | 31.74               |
+| Branchformer  | CTC+ATT        | 29.01M    | 35.67      | 35.61    | 45.60     | 34.80               |
+| Paraformer    | CTC+Paraformer | 31.04M    | 42.71      | 38.39    | -         | -                   |
+
 ## Copyright and Data Rights
 - Source: The dataset content is extracted/derived from a third-party platform. We do not own or claim the original copyright to the underlying audio or transcripts.
 - Rights: All rights to the original content remain with the respective platform and original rightsholders. Any trademarks or copyrighted works referenced are the property of their respective owners.
@@ -30,7 +54,5 @@ WildElder is a speech dataset focused on elderly scenarios. It contains raw audi
 - If you are a rightsholder (or represent one) and believe that any material in WildElder infringes your rights, please contact the maintainers. Upon verified request, we will promptly remove or restrict access to the relevant content.
 
 ## License and Citation
-- For academic research and internal testing. For commercial use, please contact the maintainers first.
-- Citation example: WILDELDER: A CHINESE ELDERLY SPEECH DATASET FROM THE WILD WITH FINE-GRAINED MANUAL ANNOTATIONS, 2025. 
-
-
+- This dataset is licensed under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) License. It is intended for academic research and internal testing. For commercial use, please contact the maintainers first.
+- Citation example: [WILDELDER: A CHINESE ELDERLY SPEECH DATASET FROM THE WILD WITH FINE-GRAINED MANUAL ANNOTATIONS](https://huggingface.co/papers/2510.09344), 2025.