datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jigsaw-toxic-comment-classification-challenge
Dataset Description
You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
toxic
severe_toxic
obscene
threat
insult
identity_hate
You must create a model which predicts a probability of each type of toxicity for each comment.
File descriptions
train.csv - the training set, contains comments with their binary labels
test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/thesofakillers/jigsaw-toxic-comment-classification-challenge.ec_classificationaidovecl-vehicle-detection-classification-localization
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
We introduce an annotated AI-generated dataset of eye-level vehicle images using outpainting, offering versatile generation of diverse vehicle classes in varied contexts with pretrained models.
Citation Notice
Please ensure that all publications and presentations using this data reference the following paper:
Kazemi, A., Fatima, Q. ul A., Kindratenko, V., & Tessum, C. W.… See the full description on the dataset page: https://huggingface.co/datasets/amir-kazemi/aidovecl-vehicle-detection-classification-localization.jailbreak-classification
Jailbreak Classification
Dataset Summary
Dataset used to classify prompts as jailbreak vs. benign.
Dataset Structure
Data Fields
prompt: an LLM prompt
type: classification label, either jailbreak or benign
Dataset Creation
Curation Rationale
Created to help detect & prevent harmful jailbreak prompts when users interact with LLMs.
Source Data
Jailbreak prompts sourced from: https://github.com/verazuo/jailbreak_llms… See the full description on the dataset page: https://huggingface.co/datasets/jackhhao/jailbreak-classification.cybersecurity-classification-benchmark
TorchSight Cybersecurity Classification Benchmark
A two-tier benchmark dataset for evaluating cybersecurity document
classifiers, released with the TorchSight system. Used in:
Dobrovolskyi, I. Security Document Classification with a Fine-Tuned Local
Large Language Model: Benchmark Data and an Open-Source System. Journal of
Information Security and Applications, 2026.
Canonical per-model numbers live in BENCHMARK_NUMBERS.md,
auto-generated from the per-prediction result JSONs… See the full description on the dataset page: https://huggingface.co/datasets/torchsight/cybersecurity-classification-benchmark.ade_corpus_v2_classification
ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for classification if a sentence is ADE-related (True) or not (False).
Train size: 17,637
Test size: 5,879
Source dataset
Paper
cpc-classificationsarxiv-classificationArxiv Classification: a classification of Arxiv Papers (11 classes).
This dataset is intended for long context classification (documents have all > 4k tokens). Copied from "Long Document Classification From Local Word Glimpses via Recurrent Attention Learning"
@ARTICLE{8675939,
author={He, Jun and Wang, Liqun and Liu, Liu and Feng, Jiao and Wu, Hao},
journal={IEEE Access},
title={Long Document Classification From Local Word Glimpses via Recurrent Attention Learning},
year={2019}… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/arxiv-classification.commit-classification-dataset
Commit Classification Dataset
This dataset is designed for multi-label classification of Git commit messages into predefined categories.
Dataset Summary
This dataset contains:
Training data: Commit messages and their corresponding labels for training the model.
Validation data: A separate set of messages for tuning and evaluation.
Testing data: Unlabeled commit messages for testing the model’s performance.
The goal of the dataset is to classify each commit message into… See the full description on the dataset page: https://huggingface.co/datasets/meriemm6/commit-classification-dataset.task903_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task903_deceptive_opinion_spam_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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task903_deceptive_opinion_spam_classification.commit-classification-17kILUR-news-text-classification-corpus
News Texts Dataset
We release a dataset of over 12000 news articles from iLur.am, categorized into 7 classes: sport, politics, weather, economy, accidents, art, society. The articles are split into train (2242k tokens) and test sets (425k tokens).
For more details, refer to the paper.
task902_deceptive_opinion_spam_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task902_deceptive_opinion_spam_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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task902_deceptive_opinion_spam_classification.AfriMCQA-category-classification
Afri-MCQA cross-modal cultural category classification (MTEB)
Classify the cultural category of an entry from its photograph and the question
about it spoken by a native speaker, across 16 African languages.
Labels index this list:
geography, building, and landmarks
public figure and pop culture
cooking and food
objects, materials, clothing
tranditions, art, and history
brands, products, and companies
plants and animals
people, and everyday life
vehicles and transportation… See the full description on the dataset page: https://huggingface.co/datasets/vnahata/AfriMCQA-category-classification.ProfNER_corpus_classificationsafety-classifications
Safety Annotations for dolma3_mix
Safety score annotations for a 20K-shard subset of allenai/dolma3_mix-6T using
locuslab/safety-classifier_gte-large-en-v1.5.
Schema
Column
Type
Description
id
string
Row identifier (matches source dataset)
safety_score
int8
Argmax safety class (0-5)
safety_probs
list[float32]
Full 6-class probability distribution
Safety scale
Score
Label
Count
Percentage
0
safe
302,972,734
77.39%
1… See the full description on the dataset page: https://huggingface.co/datasets/dlab-spp/safety-classifications.patent-classificationPatent Classification: a classification of Patents and abstracts (9 classes).
This dataset is intended for long context classification (non abstract documents are longer that 512 tokens). Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization." by Eva Sharma, Chen Li and Lu Wang
See: https://aclanthology.org/P19-1212.pdf
See: https://evasharma.github.io/bigpatent/
It contains 9 unbalanced classes, 35k Patents and abstracts divided into 3 splits:… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/patent-classification.news-political-bias-classification-datasetDataset actually from kaggle.
Couldn't find it here so I uploaded it.
mbti_classification_dataset_fullPostsdfl_classification_512fr-nfr-classificationVehicle_sounds_classification_datasetcis5300-text-classification
Complex Word Identification (CIS 5300)
Dataset Description
This dataset supports the Complex Word Identification (CWI) task: given a word in context, predict whether it is complex (likely to be difficult for non-native speakers, children, or people with reading disabilities) or simple.
CWI is the first step in lexical simplification — the task of rewriting text to make it more accessible. Before you can simplify a word, you need to identify which words need… See the full description on the dataset page: https://huggingface.co/datasets/CCB/cis5300-text-classification.multimodal_meme_classification_singapore
Dataset Card for Offensive Memes in Singapore Context
Dataset Details
Dataset Description
This dataset is a collection of memes from various existing datasets, online forums, and freshly scrapped contents. It contains both global-context memes and Singapore-context memes, in different splits. It has textual description and a label stating if it is offensive under Singapore society's standards.
Curated by: Cao Yuxuan, Wu Jiayang, Alistair Cheong, Theodore Lee… See the full description on the dataset page: https://huggingface.co/datasets/aliencaocao/multimodal_meme_classification_singapore.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.financial-classification
Dataset Creation
This dataset combines financial phrasebank dataset and a financial text dataset from Kaggle.
Given the financial phrasebank dataset does not have a validation split, I thought this might help to validate finance models and also capture the impact of COVID on financial earnings with the more recent Kaggle dataset.
chest-xray-classification
Dataset Labels
['NORMAL', 'PNEUMONIA']
Number of Images
{'train': 4077, 'test': 582, 'valid': 1165}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/chest-xray-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/2
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/chest-xray-classification.multilingual-sentiment-classification
MultilingualSentimentClassification
An MTEB dataset
Massive Text Embedding Benchmark
Sentiment classification dataset with binary
(positive vs negative sentiment) labels. Includes 30 languages and dialects.
Task category
t2c
DomainsReviews, Written
Reference
https://huggingface.co/datasets/mteb/multilingual-sentiment-classification
How to evaluate on this task
You can evaluate an embedding model on this dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/multilingual-sentiment-classification.Zeroshot-Audio-Classification-Instructions
Zeroshot-Audio-Classification-Instructions
Convert audio classification dataset into zero-shot format speech instructions, support both single label and multi-label,
VGGSound
FSD50k
Nonspeech7k
urbansound8K
VocalSound
Emotion
Gender
ESD Emotion
Age
Language
TAU Urban Acoustic Scenes 2022
CochlScene
BirdCLEF_2021
EmoBox
AudioSet
We also converted huge WAV files into MP3 16k sample rate to reduce storage size.To prevent leakage, please do not include test set in training session.… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/Zeroshot-Audio-Classification-Instructions.sms-spam-classification