single-label
single_label_N_maxSingle_Label_Positive_Emotions_Classifier_JapaneseSingle_Label_Eight_Emotions_Classifier_JapaneseLlama-2-7b-FT-single-label-ft-mergedSingle_Label_Negative_Emotions_Classifier_Japanesesingle_label_N_max_long_trainingSingle_Label_Joy_Trust_Classifier_JapaneseSingle_Label_Anger_Disgust_Classifier_Japanese
ohsumed-23-single-label
Dataset Card for OHSUMED (23 classes, single-label TextGCN split)
Dataset Summary
This dataset is the canonical TextGCN Ohsumed protocol (Yao et al., AAAI 2019): 7,400 single-label documents, 3,357 train / 4,043 test, 23 MeSH disease chapters. Here the paper’s 3,357 training documents are split 3,021 / 336 so recipes that need a validation set can use it, or concatenate train+validation to recover the paper’s train count.
7,400 MEDLINE records (year 1991), each… See the full description on the dataset page: https://huggingface.co/datasets/AxelNoun/ohsumed-23-single-label.email-classification-single-label
Email Classification – Single Label
This dataset is derived from the multiclass-email-classification imnim/multiclass-email-classification dataset and transformed into a single-label email classification dataset.
The dataset was augmented with other email data to have balanced numbers of email example for each label
Task
Single Class email classification. Each email is assigned exactly one category.
Labels
Business
Customer Support
Events &… See the full description on the dataset page: https://huggingface.co/datasets/djeungafrank/email-classification-single-label.go_emotions_single_labelThis is a Single label emotion classification dataset based on go emotion parameters.
This dataset was labeled by a team of 12 engineers (custom marked label).
This dataset also shows the evaluation result for 3 models viz. Roberta, Bert Cased, and Bert Uncased on this dataset.
CXR14_singlelabel_No_FindingRedditIdeologicalandExtremeBiasDataset
Reddit Ideological and Extreme Bias Dataset
Description
Reddit Ideological and Extreme Bias Dataset - Part 1
Data 1: Dataset with articles posted in the r/Liberal and r/Conservative subreddits. In total, we collected a corpus of 226,010 articles. These articles were collected to understand political expression through shared news articles.
Data 2: Dataset with articles posted in the Liberal, Conservative, and Restricted (private or banned) subreddits. In total… See the full description on the dataset page: https://huggingface.co/datasets/singlelabelmulticlass/RedditIdeologicalandExtremeBiasDataset.Aegis-AI-Content-Safety-Single_labelThis Dataset is constructed on nvidia/Aegis-AI-Content-Safety-Dataset-1.0.