multilabel
twitter-roberta-base-emotion-multilabel-latestcardioner_medroberta.nl_multilabelmulti-label-class-classification-on-github-issuessetfit-ethos-multilabel-example20250909_model_g20_multilabel_MiniLM-L12-all-labels-artificial-governance-multi-outputHateDetection_MultiLabel_KcElectra_FineTuningemotion-roberta-large-multilabel-genai-bcemulticite-multilabel-scibert
multi-label-class-github-issues-text-classification
Dataset Card for "multi-label-class-github-issues-text-classification"
More Information needed
PubMed_MultiLabel_Text_Classification_Dataset_MeSHThis dataset consists of a approx 50k collection of research articles from PubMed repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH major which is raising the issue of extremely large output space and severe label sparsity issues. To solve this Issue Dataset has been Processed and mapped to its root as Described… See the full description on the dataset page: https://huggingface.co/datasets/owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH.arxiv-abstract-multilabelAID_MultiLabel
Dataset Card for "AID_MultiLabel"
Licensing Information
CC0: Public Domain
Citation Information
Imagery:
AID: A benchmark data set for performance evaluation of aerial scene classification
Multilabels:
Relation Network for Multi-label Aerial Image Classification
@article{xia2017aid,
title = {AID: A benchmark data set for performance evaluation of aerial scene classification},
author = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/AID_MultiLabel.id_multilabel_hsThe ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,
designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.
This is a multilabel dataset with label details as follows:
-HS : hate speech label;
-Abusive : abusive language label;
-HS_Individual : hate speech targeted to an individual;
-HS_Group : hate speech targeted to a group;
-HS_Religion : hate speech related to religion/creed;
-HS_Race : hate speech related to race/ethnicity;
-HS_Physical : hate speech related to physical/disability;
-HS_Gender : hate speech related to gender/sexual orientation;
-HS_Gender : hate related to other invective/slander;
-HS_Weak : weak hate speech;
-HS_Moderate : moderate hate speech;
-HS_Strong : strong hate speech.gklmip-news-khm-multilabelclassification
GKLMIPNews_khm_MultiLabelClassification
Deduplicated copy of kornwtp/gklmip-news-khm-multilabelclassification.
Splits
split
rows
test
1,398
train
3,959
validation
1,376