Add task category, link to Macedonian LLM paper, and relevant tags

README.md

@@ -1,13 +1,20 @@
 ---
 language:
 - mk
+task_categories:
+- text-generation
+tags:
+- winogrande
+- macedonian
+- low-resource
+- commonsense-reasoning
 ---
 
 # WinoGrande MK version
 
 This dataset is a Macedonian adaptation of the [WinoGrande dataset](https://huggingface.co/datasets/gordicaleksa/serbian-llm-eval-v1), originally curated (English -> Serbian) by Aleksa Gordić. It was translated from Serbian to Macedonian using the [Google Translate API](https://cloud.google.com/translate).
 
-You can find this dataset as part of the macedonian-llm-eval [GitHub](https://github.com/LVSTCK/macedonian-llm-eval) and [HuggingFace](https://huggingface.co/datasets/LVSTCK/macedonian-llm-eval).
+You can find this dataset as part of the macedonian-llm-eval [GitHub](https://github.com/LVSTCK/macedonian-llm-eval) and [HuggingFace](https://huggingface.co/datasets/LVSTCK/macedonian-llm-eval). This dataset is part of a larger effort to improve LLMs for Macedonian, as described in the paper [Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language](https://huggingface.co/papers/2506.09560).
 
 ## Why Translate from Serbian?
 The Serbian dataset was selected as the source instead of English because Serbian and Macedonian are closer from a linguistic standpoint, making Serbian a better starting point for translation. Additionally, the Serbian dataset was refined using GPT-4, which, according to the original report, significantly improved the quality of the translation. Note that this is an assumption that needs further validation (quantitative).. a small quality check was conducted on the translated Macedonian dataset, and the results were deemed to be of good quality.