Create README.md

README.md

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+---
+language:
+- ar
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-classification
+base_model: jhu-clsp/mmBERT-small
+tags:
+- quality-classifier
+- data-filtering
+- pretraining
+---
+
+<p align="center">
+  <a href="https://huggingface.co/collections/AdaMLLab/mixminmatch">
+    <img src="https://img.shields.io/badge/🤗_Collection-MixMinMatch-blue" alt="MixMinMatch Collection">
+  </a>
+</p>
+
+# mmBERT Arabic Quality Classifier
+
+A text quality classifier for Arabic pretraining data, trained from [mmBERT-small](https://huggingface.co/jhu-clsp/mmBERT-small). Used to create [AraMix-HQ](https://huggingface.co/datasets/AdaMLLab/AraMix-HQ).
+
+This model implements the FineWeb2-HQ approach ([Messmer et al., 2025](https://arxiv.org/abs/2502.10361)) but uses mmBERT as the encoder for improved Arabic understanding.
+
+## Usage
+
+```python
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="AdaMLLab/mmBERT-Arabic-Quality-Classifier")
+result = classifier("النص العربي هنا")
+```
+
+## Citation
+
+```bib
+@misc{alrashed2025mixminmatch,
+      title={Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining Datasets}, 
+      author={Sultan Alrashed and Francesco Orabona},
+      year={2025},
+      eprint={2512.18834v2},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2512.18834v2}, 
+}
+```