Update 'README.md'

README.md

@@ -9,6 +9,8 @@ The text for this dataset was generated using GPT4o, with prompts covering a wid
 These generated texts were then recorded in a quiet environment. The audio and text files underwent forced alignment using [aeneas](https://github.com/readbeyond/aeneas), resulting in smaller chunks of audio-text pairs as presented in this dataset.
 
 ## Download
+[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-dataset-orange)](https://huggingface.co/datasets/MahtaFetrat/GPTInformal-Persian)
+
 You can download the dataset from [this repository](https://huggingface.co/datasets/MahtaFetrat/GPTInformal-Persian).
 
 ### Data Columns
@@ -28,11 +30,16 @@ Each Parquet file contains the following columns:
 If you use GPTInformal-Persian in your research or projects, please cite the following paper:
 
 ```bash
-@article{fetrat2024manatts,
-      title={ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages}, 
-      author={Mahta Fetrat Qharabagh and Zahra Dehghanian and Hamid R. Rabiee},
-      journal={arXiv preprint arXiv:2409.07259},
-      year={2024},
+@inproceedings{qharabagh-etal-2025-manatts,
+    title = "{M}ana{TTS} {P}ersian: a recipe for creating {TTS} datasets for lower resource languages",
+    author = "Qharabagh, Mahta Fetrat  and Dehghanian, Zahra  and Rabiee, Hamid R.",
+    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
+    month = apr,
+    year = "2025",
+    address = "Albuquerque, New Mexico",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.naacl-long.464/",
+    pages = "9177--9206",
 }
 ```