Add readme

README.md

@@ -1,69 +1,43 @@
+# StyleSet
+
+**A spoken language benchmark for evaluating speaking-style-realted speech generation**  
+Released in our paper, [Audio-Aware Large Language Models as Judges for Speaking Styles](https://arxiv.org/abs/2506.05984)
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/622326ae0129f2097d69a3e2/Q8Os1g5vfy22Y9myvSc7X.png)
+
 ---
-dataset_info:
-- config_name: role_playing
-  features:
-  - name: ID
-    dtype: int64
-  - name: text_0
-    dtype: string
-  - name: text_1
-    dtype: string
-  - name: audio_0
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: audio_1
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: source
-    dtype: string
-  - name: speaker1
-    dtype: string
-  - name: speaker2
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 182310504
-    num_examples: 20
-  download_size: 148908359
-  dataset_size: 182310504
-- config_name: voice_instruction_following
-  features:
-  - name: ID
-    dtype: int64
-  - name: text_1
-    dtype: string
-  - name: text_2
-    dtype: string
-  - name: audio_1
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: audio_2
-    dtype:
-      audio:
-        sampling_rate: 16000
-  splits:
-  - name: test
-    num_bytes: 36665909
-    num_examples: 20
-  download_size: 35109899
-  dataset_size: 36665909
-configs:
-- config_name: role_playing
-  data_files:
-  - split: test
-    path: role_playing/test-*
-- config_name: voice_instruction_following
-  data_files:
-  - split: test
-    path: voice_instruction_following/test-*
-license: apache-2.0
-task_categories:
-- audio-to-audio
-language:
-- en
-size_categories:
-- n<1K
----
+
+## Tasks
+
+1. **Voice Style Instruction Following**  
+   - Reproduce a given sentence verbatim.  
+   - Match specified prosodic styles (emotion, volume, pace, emphasis, pitch, non-verbal cues).
+
+2. **Role Playing**  
+   - Continue a two-turn dialogue prompt in character.  
+   - Generate the next utterance with appropriate prosody and style.
+   - The dataset is modified from IEMOCAP with the consent of the authors. Please refer to [IEMOCAP](https://sail.usc.edu/iemocap/) for details and the original data of IEMOCAP. We do not redistribute the data here.
+
+---
+
+## Evaluation
+
+We use ALLM-as-a-judge for evaluation. Currently, we found that `gemini-2.5-pro-0506` reaches the best agreement with human evaluators.
+The complete evaluation prompt and evaluation pipelines can be found in Table 3 to Table 5 in our paper.
+
+
+## Citation
+
+If you use StyleSet or find ALLM-as-a-judge useful, please cite our paper by
+```
+@misc{chiang2025audioawarelargelanguagemodels,
+      title={Audio-Aware Large Language Models as Judges for Speaking Styles}, 
+      author={Cheng-Han Chiang and Xiaofei Wang and Chung-Ching Lin and Kevin Lin and Linjie Li and Radu Kopetz and Yao Qian and Zhendong Wang and Zhengyuan Yang and Hung-yi Lee and Lijuan Wang},
+      year={2025},
+      eprint={2506.05984},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS},
+      url={https://arxiv.org/abs/2506.05984}, 
+}
+```