datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Amharic-News-Text-classification-Dataset
An Amharic News Text classification Dataset
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… See the full description on the dataset page: https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset.Sinhala-News-Source-classificationThis dataset contains Sinhala news headlines extracted from 9 news sources (websites) (Sri Lanka Army, Dinamina, GossipLanka, Hiru, ITN, Lankapuwath, NewsLK,
Newsfirst, World Socialist Web Site-Sinhala). This is a processed version of the corpus created by Sachintha, D., Piyarathna, L., Rajitha, C., and Ranathunga, S. (2021). Exploiting parallel corpora to improve multilingual embedding based document and sentence alignment. Single word sentences, invalid characters have been removed from the… See the full description on the dataset page: https://huggingface.co/datasets/NLPC-UOM/Sinhala-News-Source-classification.Fake-News-ClassificationDevelop a machine learning program to identify when an article might be fake news. Run by the UTK Machine Learning Club.
This is the Dataset to the Fake-News-Classifier competition in Kaggle. There is a Test csv to check for predictions.
Citation
William Lifferth. (2018). Fake News. Kaggle. https://kaggle.com/competitions/fake-news
nbc_headlines.csvheadline_datatrain_data_nbc_skewedNews_Resource_Classification