Update README.md

README.md

@@ -85,7 +85,7 @@ pretty_name: Robots
 
 # 📘 **African Next Voices – Bambara (AfVoices)**
 
-The **AfVoices** dataset is the largest open corpus of spontaneous Bambara speech at its release in late 2025. It contains **423 hours** of segmented audio and **612 hours** of original raw recordings collected across southern Mali. Speech was recorded in natural, conversational settings and annotated using a semi-automated transcription pipeline combining ASR pre-labels and human corrections.
+The **AfVoices** dataset is the largest open corpus of spontaneous Bambara speech at its release in late 2025. It contains **423 hours** of segmented audio and **612 hours** of original raw recordings collected across southern Mali. Speech was recorded in natural, conversational settings and annotated using a semi-automated transcription pipeline combining ASR pre-labels and human corrections. We release all the data processing code on [GitHub](https://github.com/RobotsMali-AI/afvoices).
 
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@@ -189,12 +189,14 @@ The following tags appear in transcriptions:
 ## 📑 **Citation**
 
 ```bibtex
-@article{diarra2025afvoices,
-  title={Dealing with the Hard Facts of Low-Resource African NLP},
-  author={Diarra, Yacouba and Coulibaly, Nouhoum Souleymane and Kamaté, Panga Azazia and Tall, Madani Amadou and Koné, Emmanuel Élisé and Dembélé, Aymane and Leventhal, Michael},
-  journal={Preprint},
-  note = {arxiv coming soon}
-  year={2025},
+@misc{diarra2025dealinghardfactslowresource,
+      title={Dealing with the Hard Facts of Low-Resource African NLP}, 
+      author={Yacouba Diarra and Nouhoum Souleymane Coulibaly and Panga Azazia Kamaté and Madani Amadou Tall and Emmanuel Élisé Koné and Aymane Dembélé and Michael Leventhal},
+      year={2025},
+      eprint={2511.18557},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2511.18557}, 
 }
 ```