datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-temporal-crop-classification
Dataset Card for Multi-Temporal Crop Classification
Dataset Summary
This dataset contains temporal Harmonized Landsat-Sentinel imagery of diverse land cover and crop type classes across the Contiguous United States for the year 2022. The target labels are derived from USDA's Crop Data Layer (CDL). It's primary purpose is for training segmentation geospatial machine learning models.
Dataset Structure
TIFF Files
Each tiff file covers a… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification.multiclass-sentiment-analysis-dataset
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset.multi-label-class-github-issues-text-classification
Dataset Card for "multi-label-class-github-issues-text-classification"
More Information needed
multi-domain-document-classification
multi_domain_document_classification
Multi-domain document classification datasets.
Biomedical: chemprot, rct-sample
Computer Science: citation_intent, sciie
Customer Review: amcd, yelp_review
Social Media: tweet_eval_irony, tweet_eval_hate, tweet_eval_emotion
The yelp_review dataset is randomly downsampled to 2000/2000/8000 for test/validation/train.
chemprot
citation_intent
hyperpartisan_news
rct_sample
sciie
amcd
yelp_review
tweet_eval_irony
tweet_eval_hate… See the full description on the dataset page: https://huggingface.co/datasets/asahi417/multi-domain-document-classification.functional-multiclass-gamba
GAMBA Functional Region Multiclass
This representation benchmark asks whether frozen sequence embeddings
separate genomic functional categories. Each row is one annotated region;
label == category.
Loading
from datasets import load_dataset
full_bidi = load_dataset(
"Taykhoom/functional-multiclass-gamba",
"full-bidi",
split="all",
)
paper_test = full_bidi.filter(
lambda row: row["split"] == "test"
and row["category"] != "noncoding_regions"
)… See the full description on the dataset page: https://huggingface.co/datasets/Taykhoom/functional-multiclass-gamba.Multi-Lingual-Lyrics-for-Genre-Classificationfrom https://www.kaggle.com/datasets/mateibejan/multilingual-lyrics-for-genre-classification
wos_hierarchical_multi_label_text_classificationIntroduced by du Toit and Dunaiski (2024) Introducing Three New Benchmark Datasets for Hierarchical Text Classification.
The WOS Hierarchical Text Classification are three dataset variants created from Web of Science (WOS) title and abstract data categorised into a hierarchical, multi-label class structure. The aim of the sampling and filtering methodology used was to create well-balanced class distributions (at chosen hierarchical levels). Furthermore, the WOS_JTF variant was also created… See the full description on the dataset page: https://huggingface.co/datasets/marcelsun/wos_hierarchical_multi_label_text_classification.task1577_amazon_reviews_multi_japanese_language_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1577_amazon_reviews_multi_japanese_language_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1577_amazon_reviews_multi_japanese_language_classification.multiclasscasa_3sec_multiclassmulticlass-email-classificationThis dataset comprises of more than 2000 emails across multiple categories, which can he helpful for tasks like LLM training and fine-tuning. The dataset is also provided with a python script that would generate emails automatically
The dataset contains email across 10 different categories namely, "Business", "Personal", "Promotions", "Customer Support", "Job Application", "Finance & Bills", "Events & Invitations", "Travel & Bookings", "Reminders", "Newsletters"
Total emails: 2105
Label… See the full description on the dataset page: https://huggingface.co/datasets/imnim/multiclass-email-classification.task638_multi_woz_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task638_multi_woz_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task638_multi_woz_classification.DeBERTa_multi-class_cb_datasettoxicity-multi-label-classifier
Part of a course titled "Generative AI application design & development"
https://genai.acloudfan.com/
Created from a dataset available on Kaggle.
https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/data
synthetic-text-classification-news-multi-label
Dataset Card for synthetic-text-classification-news-multi-label
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/davidberenstein1957/synthetic-text-classification-news-multi-label/raw/main/pipeline.yaml"
or explore the configuration:… See the full description on the dataset page: https://huggingface.co/datasets/argilla/synthetic-text-classification-news-multi-label.reddit-AITA-submissions-and-comments-multiclassshort-text-multi-labeled-emotion-classificationYOLOv8-Multiclass-Object-Detection-Dataset
DATASET SAMPLE
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
Just create an EDU account here.
This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by creating a FalconCloud account. Once you verify your email, the link will redirect you to the dataset page.
What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?
The digital twins are… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset.multi-class_cyberbullying_emoji_datasetmulti_edu_classificationhuman_multi_classifications_500cicflow-ids-multiclass
CICFlow Multiclass Intrusion Detection Dataset
Overview
This dataset provides a multiclass network intrusion detection (IDS) benchmark derived from CICFlowMeter flow-level features.
It is designed for attack-type classification, robust IDS research, and interpretable security modeling.
Each network flow is labeled as either benign or one of nine attack categories, following a standard IDS taxonomy.
The dataset is published in Hugging Face datasets format with explicit… See the full description on the dataset page: https://huggingface.co/datasets/AINovice2005/cicflow-ids-multiclass.multi_class_solidity_function_vulnerabilty
Dataset Card for "multi_class_solidity_function_vulnerabilty"
More Information needed
oasis-alzheimers-multi-classcasa_30sec_multiclasshuman_multi_classificationsamazon_reviews_multi_fr_prompt_classes_classification
amazon_reviews_multi_fr_prompt_classes_classification
Summary
amazon_reviews_multi_fr_prompt_classes_classification is a subset of the Dataset of French Prompts (DFP).It contains 4,480,000 rows that can be used for a text classification task.The original data (without prompts) comes from the dataset amazon_reviews_multi by Keung et al. where only the French split has been kept.
A list of prompts (see below) was then applied in order to build the input and target columns… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_classes_classification.gpt_4o_mini_classifications_multi_humancicflow-ids-multiclass
CICFlow Multiclass Intrusion Detection Dataset
Overview
This dataset provides a multiclass network intrusion detection (IDS) benchmark derived from CICFlowMeter flow-level features.
It is designed for attack-type classification, robust IDS research, and interpretable security modeling.
Each network flow is labeled as either benign or one of nine attack categories, following a standard IDS taxonomy.
The dataset is published in Hugging Face datasets format with explicit… See the full description on the dataset page: https://huggingface.co/datasets/DollarSign/cicflow-ids-multiclass.Duckietown-Multiclass-Semantic-Segmentation-Dataset
Multiclass Semantic Segmentation Duckietown Dataset
A dataset of multiclass semantic segmentation image annotations for the first 250 images of the "Duckietown Object Detection Dataset".
Raw Image
Segmentated Image
Semantic Classes
This dataset defines 8 semantic classes (7 distinct classes + implicit background class):
Class
XML Label
Description
Color (RGB)
Ego Lane
Ego Lane
The lane the agent is supposed to be driving in (default right-hand… See the full description on the dataset page: https://huggingface.co/datasets/hamnaanaa/Duckietown-Multiclass-Semantic-Segmentation-Dataset.