{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-amharic-news-text-classification-dataset","title":"An Amharic News Text classification Dataset","arxiv_id":"2103.05639","date":"2021-03-10","proceeding":null,"authors":["Israel Abebe Azime","Nebil Mohammed"],"abstract":"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.","url_abs":"https://arxiv.org/abs/2103.05639v1","url_pdf":"https://arxiv.org/pdf/2103.05639v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-amharic-news-text-classification-dataset","repo_url":"https://github.com/IsraelAbebe/An-Amharic-News-Text-classification-Dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[{"slug":"an-amharic-news-text-classification-dataset","name":"An Amharic News Text classification Dataset","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/text-classification-on-an-amharic-news-text","task":"Text Classification","dataset":"An Amharic News Text classification Dataset","model":"Naive Bayes using Tf-idf features","rank_in_archive_order":1,"of":2,"metrics":{"Accuracy":"62.3"},"uses_additional_data":false},{"leaderboard":"/sota/text-classification-on-an-amharic-news-text","task":"Text Classification","dataset":"An Amharic News Text classification Dataset","model":"Naive Bayes using count vectorizer features","rank_in_archive_order":2,"of":2,"metrics":{"Accuracy":"62.2"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2103.05639","atlas_url":"https://app.syntology.ai/?focus=2103.05639","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}