Update README.md

README.md

@@ -80,6 +80,27 @@ Since this is a multi-class classification task, the reported precision, recall,
 ## Original CSV and Paper
 The original csv file can be found in this git repository https://github.com/IsraelAbebe/An-Amharic-News-Text-classification-Dataset
 
-Paper: https://arxiv.org/abs/2103.05639
+While there is a version of this dataset that's already available on huggingface hub ([israel/Amharic-News-Text-classification-Dataset](https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset)), that version had been preprocessed to remove punctuation from the articles, while this version contains the entire text along with punctuations. As a result, this version is more preferable for finetuning transformer models.
 
-While there is a version of this dataset that's already available on huggingface hub ([israel/Amharic-News-Text-classification-Dataset](https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset)), that version had been preprocessed to remove punctuation from the articles, while this version contains the entire text along with punctuations. As a result, this version is more preferable for finetuning transformer models. 
+> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling, annotating, and making valuable this kind of data will encourage junior researchers, schools, and machine learning practitioners to implement existing classification models in their language. In this short paper, we aim to introduce the Amharic text classification dataset that consists of more than 50k news articles that were categorized into 6 classes. This dataset is made available with easy baseline performances to encourage studies and better performance experiments.
+
+
+```
+@misc{https://doi.org/10.48550/arxiv.2103.05639,
+  doi = {10.48550/ARXIV.2103.05639},
+  
+  url = {https://arxiv.org/abs/2103.05639},
+  
+  author = {Azime, Israel Abebe and Mohammed, Nebil},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {An Amharic News Text classification Dataset},
+  
+  publisher = {arXiv},
+  
+  year = {2021},
+  
+  copyright = {arXiv.org perpetual, non-exclusive license}
+}
+```