Initial release: Muradif Arabic synonym benchmark

README.md

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+# Muradif
+Muradif (مُرادِف, "synonym") is a synonym-based benchmark that directly assesses embedding quality with no additional fine-tuning. Each row is a triplet with a context: a model should embed `context` with `anchor_word` closer to `context` with `syn_word` (a true synonym) than to `context` with `irrelevant_word` (an unrelated word). There are 38,554 triplets in this benchmark.
+
+This dataset was introduced at the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026). For more information visit our website: https://www.acrps.ai/neoarabert.
+
+### Example row:
+
+```json
+{
+  "context": "يؤدي المسلمون صلاة الجمعة في ال_ جماعة",
+  "anchor_word": "مَسْجِدٌ",
+  "syn_word": "جَامِعٌ",
+  "irrelevant_word": "اِنْجَابَ"
+}
+```
+
+### Citation
+If you use this dataset, please reference this work in your paper:
+```bibtex
+The citation will be added here soon.
+```
+
+### License
+This model is licensed under the CC BY-SA 4.0 license. The text of the license can be found [here](https://creativecommons.org/licenses/by-sa/4.0/).

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