Update README.md

README.md

@@ -1,5 +1,10 @@
 ---
 license: apache-2.0
+language:
+- en
+- zh
+- ja
+pretty_name: S
 ---
 This repository introduces:  🌀 *ShiftySpeech*: A Large-Scale Synthetic Speech Dataset with Distribution Shifts
 
@@ -15,8 +20,24 @@ This repository introduces:  🌀 *ShiftySpeech*: A Large-Scale Synthetic Speech
   
 ## 💡 Why We Built This Dataset
 > Driven by advances in self-supervised learning for speech, state-of-the-art synthetic speech detectors have achieved low error rates on popular benchmarks such as ASVspoof. However, prior benchmarks do not address the wide range of real-world variability in speech. Are reported error rates realistic in real-world conditions? To assess detector failure modes and robustness under controlled distribution shifts, we introduce **ShiftySpeech**, a benchmark with more than 3000 hours of synthetic speech from 7 domains, 6 TTS systems, 12 vocoders, and 3 languages.
->
-> ### **Citation**
+
+## ⚙️ Usage 
+
+Ensure that you have soundfile or librosa installed for proper audio decoding: 
+
+```bash 
+pip install soundfile librosa
+```
+##### 📌 Example: Loading the AISHELL Dataset Vocoded with APNet2
+
+```bash
+from datasets import load_dataset
+
+dataset = load_dataset("ash56/ShiftySpeech", data_files={"data": f"Vocoders/apnet2/apnet2_aishell_flac.tar.gz"})["data"]
+```
+**⚠️ Note:** It is recommended to load data from a specific folder to avoid unnecessary memory usage.
+
+### **Citation**
 
 If you find this dataset useful, please cite our work:
 ```bibtex