Update README.md

README.md

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 ## 📂 Dataset Structure
 The dataset is organized into three folders, with **4,000 audio files per model**:
 
-- `dia2/`: Generated using [nari-labs/Dia2-2B](https://huggingface.co/nari-labs/Dia2-2B/tree/main)
-- `maya1/`: Generated using [maya-research/maya1](https://huggingface.co/maya-research/maya1)
-- `melotts/`: Generated using [myshell-ai/MeloTTS-English](https://huggingface.co/myshell-ai/MeloTTS-English)
+- `Dia2-2B/`: Generated using [nari-labs/Dia2-2B](https://huggingface.co/nari-labs/Dia2-2B/tree/main)
+- `Maya1/`: Generated using [maya-research/maya1](https://huggingface.co/maya-research/maya1)
+- `MeloTTS-English/`: Generated using [myshell-ai/MeloTTS-English](https://huggingface.co/myshell-ai/MeloTTS-English)
 
 ## 🎯 Use Cases
 - **AI Audio Detection:** Training classifiers to detect synthetic voices.
@@ -24,6 +24,6 @@ The dataset is organized into three folders, with **4,000 audio files per model*
 - **TTS Evaluation:** Benchmarking different architectures on conversational text.
 
 ## 📜 Citation
-If you use this dataset, the [DailyDialog](https://huggingface.co/datasets/roskoN/dailydialog) please cite this repository and the original model creators.
+If you use this dataset, please cite this repository, the [DailyDialog](https://huggingface.co/datasets/roskoN/dailydialog) dataset and the original model creators.
 
 This project was provided with computing AI and storage resources by GENCI at IDRIS thanks to the grant 2025-AD011016076 on the supercomputer Jean Zay's V100 partition .