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.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.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
arxiv-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.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.ec_classificationcommit-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.multilingual-scala-classification
ScalaClassification
An MTEB dataset
Massive Text Embedding Benchmark
ScaLa a linguistic acceptability dataset for the mainland Scandinavian languages automatically constructed from dependency annotations in Universal Dependencies Treebanks.
Published as part of 'ScandEval: A Benchmark for Scandinavian Natural Language Processing'
Task category
t2c
Domains
Fiction, News, Non-fiction, Blog, Spoken, Web, Written
Reference… See the full description on the dataset page: https://huggingface.co/datasets/mteb/multilingual-scala-classification.news-political-bias-classification-datasetDataset actually from kaggle.
Couldn't find it here so I uploaded it.
aidovecl-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.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.ILUR-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.
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.commit-classification-17ktask903_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.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.dfl_classification_512multimodal_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.safety-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.Mental-Health_Text-Classification_Dataset
Mental Health Text Classification Dataset (4-Class)
Dataset Description
This dataset contains short, user‑generated texts labeled for 4‑class mental health classification: Suicidal, Depression, Anxiety, and Normal. It is a derived dataset created by combining and cleaning three public mental‑health corpora, then re‑labeling them into a unified 4‑class scheme and exporting CSV files suitable for both classical ML and modern NLP models.
The repository includes:
An… See the full description on the dataset page: https://huggingface.co/datasets/ourafla/Mental-Health_Text-Classification_Dataset.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.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.mbti_classification_dataset_fullPosts
MBTI Classification Dataset (Full Posts)
A dataset of 8,675 personality-forum posts labeled with Myers-Briggs Type Indicator (MBTI) dichotomies, built for training and evaluating text-based personality classification models. Each row contains one user's concatenated forum posts plus binary labels for all four MBTI dimensions.
Dataset Structure
Splits: train (5,205 rows), test (2,082 rows), validation (1,388 rows)
Fields:
Field
Type
Description
I/E
int64… See the full description on the dataset page: https://huggingface.co/datasets/ClaudiaRichard/mbti_classification_dataset_fullPosts.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.LLMTrace_classification
LLMTrace - Classification Dataset
🌐 LLMTrace Website |
📜 LLMTrace Paper on arXiv |
🤗 LLMTrace - Detection Dataset |
🤗 GigaCheck classification model |
This repository contains the Classification portion of the LLMTrace project. This dataset is specifically designed for the binary classification of texts as either human-written or AI-generated.
For full details on the data collection methodology, statistics, and experiments, please refer to… See the full description on the dataset page: https://huggingface.co/datasets/iitolstykh/LLMTrace_classification.Vehicle_sounds_classification_datasetcode-natural-language-classification-datasetSampling from codeparrot/github-code under more permissive license ['mit', 'apache-2.0', 'bsd-3-clause', 'bsd-2-clause', 'cc0-1.0'] + sampling from minipile.
It is intended to be used for training code natural language classifier.
OpenWhistle-Classification-Finetuning
OpenWhistle Classification Finetuning Dataset
dolphinteam/OpenWhistle-Classification-Finetuning is the public
classification finetuning dataset used for dolphin whistle identity
classification. It contains short whistle clips, whistle-level metadata,
fundamental-frequency tracks, rendered F0 spectrograms, and integer class
labels.
The main reviewer-facing subset is the balanced balanced config. It contains
six classes:
NSW_1 (label=0)
SW_Luna (label=1)
SW_Nana (label=2)
SW_Neo… See the full description on the dataset page: https://huggingface.co/datasets/dolphinteam/OpenWhistle-Classification-Finetuning.fr-nfr-classification