imbalanced
BC5CDR-Imbalanced-PubMedBERTBC4CHEMD_ImbalancedPubMedBERTBC4CHEMD_ImbalancedBioM-ELECTRA-Base-Discriminatorbc4chemd-imbalanced-biobert-base-casesd-v1.1BC4CHEMD_Imbalancedscibert_scivocab_casedBC2GM-Gene_ImbalancedBioM-ELECTRA-Base-DiscriminatorBC5CDR-Disease-imbalanced-BiomedNLP-PubMedBERT-base-uncased-abstractBC5CDR-Chemical-imbalanced-biobert-v1.1_latest
Imbalanced_Segmentation_DatasetsStanford-Dogs-Imbalanced
Dataset Card for StanfordDogsImbalanced
This is a FiftyOne dataset with 19060 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/Stanford-Dogs-Imbalanced")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Stanford-Dogs-Imbalanced.cats-vs-dogs-imbalanced
Dataset Card for cats-vs-dogs-imbalanced
This is a FiftyOne dataset with 2551 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/cats-vs-dogs-imbalanced")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cats-vs-dogs-imbalanced.ag_news-imbalancedThis dataset is an imbalanced version of https://huggingface.co/datasets/SetFit/ag_news for educational purposes.
Tabular_Imbalanced_Regression
Tabular Imbalanced Regression Datasets
Repository Summary
This repository provides a collection of 81 tabular datasets curated for research on tabular imbalanced regression problems.
They were obtained from the various studies carried out on the subject (source and papers listed below).Its objective is to centralize datasets commonly used in the literature, serving as a solid reference point for future work.
Additional datasets can be contributed or requested — feel free… See the full description on the dataset page: https://huggingface.co/datasets/samgohan/Tabular_Imbalanced_Regression.imbalanced_amc_dataset