Add task category, license, and paper metadata

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- ar
+license: other
+task_categories:
+- text-generation
+arxiv: 2512.18834
 configs:
 - config_name: minhash_deduped
   data_files:
@@ -12,14 +18,12 @@ configs:
   data_files:
   - split: train
     path: data/sentence_deduped/*
-default: minhash
-language:
-- ar
+default: minhash_deduped
 ---
 
 <img src="https://huggingface.co/datasets/AdaMLLab/AraMix/resolve/main/finetasks_arabic_main_results.png" width="900" alt="Finetasks benchmark scores, showing AraMix-Matched as SOTA.">
 
-AraMix (https://arxiv.org/abs/2512.18834v2) is an Arabic pretraining corpus containing 178 billion tokens across 179 million documents (in the minhash subset). Rather than scraping the web again, AraMix combines seven publicly available Arabic datasets, applies Arabic-specific quality filtering, and performs cross-dataset deduplication.
+AraMix ([https://arxiv.org/abs/2512.18834](https://arxiv.org/abs/2512.18834)) is an Arabic pretraining corpus containing 178 billion tokens across 179 million documents (in the minhash subset). Rather than scraping the web again, AraMix combines seven publicly available Arabic datasets, applies Arabic-specific quality filtering, and performs cross-dataset deduplication.
 
 We train a 1.4B parameter language model through nanotron on 30 billion tokens to show that the `consensus` subset of AraMix outperforms the previous state-of-the-art, [arabicweb24](https://huggingface.co/datasets/lightonai/ArabicWeb24) (see [Appendix A9 in the Fineweb-2 paper](https://arxiv.org/pdf/2506.20920)) while having more total tokens. Furthermore, the `minhash_deduped` subset performs on-par with nearly 5 times the total number of tokens.
 
@@ -41,7 +45,7 @@ The consensus subset uses cross-dataset agreement as a signal for quality.
 from datasets import load_dataset
 
 ds = load_dataset("AdaMLLab/AraMix", "sentence_deduped")
-ds = load_dataset("AdaMLLab/AraMix", "minhash")
+ds = load_dataset("AdaMLLab/AraMix", "minhash_deduped")
 ds = load_dataset("AdaMLLab/AraMix", "matched")
 ```