Update README.md

README.md

@@ -37,4 +37,63 @@ configs:
   data_files:
   - split: train
     path: full_dataset/train-*
+license: cc-by-4.0
+task_categories:
+- audio-classification
+language:
+- ar
+tags:
+- arabic
+- dialect-identification
+- speech
+- radio
+- geolocation
+pretty_name: ARCADE
 ---
+
+# ARCADE: Arabic Radio Corpus for Audio Dialect Evaluation
+
+ARCADE is a city-scale corpus of Arabic radio speech designed for fine-grained dialect identification. The dataset contains 6,907 audio clips (4,539 validated for modeling) collected from radio streams across 42 cities in 19 Arab countries.
+
+## Dataset Description
+
+Each 30-second audio clip is annotated with:
+- **City and Country**: Fine-grained geographic labels at the city level
+- **MSA or Dialect**: Whether the speech is Modern Standard Arabic, dialectal, mixed, or not applicable
+- **Emotion**: Speaker emotion (neutral, happiness, anger, etc.)
+- **Audio Type**: Single speaker, multiple speakers, music/no speech, or Quran recitation
+- **Keep or Skip**: Whether the clip is suitable for dialect modeling
+- **Confidence**: Annotator confidence level (sure, unsure, no idea)
+
+## Intended Uses
+
+- Fine-grained Arabic dialect identification at the city level
+- Sociolinguistic studies of regional speech variation
+- Multi-task learning combining dialect, emotion, and speaker classification
+- Robustness evaluation under domain and channel shift
+
+## Dataset Statistics
+
+- **Total clips**: 6,907
+- **Validated clips**: 4,539 (65.7%)
+- **Cities**: 42
+- **Countries**: 19
+- **Clip duration**: 30 seconds
+
+## Citation
+
+If you use this dataset, please cite:
+```bibtex
+@article{arcade2025,
+  title={Enter the ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging},
+  author={Nacar, Omer and Sibaee, Serry and Ammar, Adel and Alhabashi, Yasser and others},
+  journal={arXiv preprint arXiv:XXXX.XXXXX},
+  year={2025}
+}
+```
+
+📄 **Paper**: [arXiv:XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX) *(coming soon)*
+
+## License
+
+This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license for non-commercial academic and research use.