sequence-classification
turkish-news-articles-sequence-classification
Turkish Sentence Continuation Dataset
Dataset Summary
This dataset is a binary sentence-pair classification dataset created from Turkish newspaper articles.
Each example consists of two sentences:
Positive (label = 1): the second sentence directly follows the first sentence in the original article.
Negative (label = 0): the second sentence is unrelated and comes from a different context.
The dataset is suitable for sentence coherence, discourse understanding, and… See the full description on the dataset page: https://huggingface.co/datasets/oguzinc/turkish-news-articles-sequence-classification.ncbi-disease-sequence-classification
NCBI Disease Corpus for Binary Sequence Classification
Description
This dataset is part of the MSc dissertation study titled 'Investigating the Potential of Identifying Kidney Disease-Related Articles Using Transformer Models and Large Language Models' at the University of Southampton. It is a modified version of the NCBI Disease Corpus, with a binary label added to each sample. The binary label indicates whether the sample contains disease concepts (Class 1) or not… See the full description on the dataset page: https://huggingface.co/datasets/nr2n23/ncbi-disease-sequence-classification.flock-demo-image-classification-sections