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Continual Learning datasets
archive 2025-07-2835 datasets carry the task tag "Continual Learning" (the task itself: Continual Learning), ordered by the archive's paper count. Page 1 of 1: 35 shown of 35. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Continual Learning 35
Continual Learning datasets 1–35 of 35
description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.
9,045 papers · 51 benchmarks
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.
7,651 papers · 44 benchmarks
mini-Imagenet is proposed by Matching Networks for One Shot Learning .
1,345 papers · 21 benchmarks
Oxford 102 Flower (102 Category Flower Dataset)
Oxford 102 Flower is an image classification dataset consisting of 102 flower categories.
1,307 papers · 16 benchmarks
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear.
790 papers · 13 benchmarks
The Sketch dataset contains over 20,000 sketches evenly distributed over 250 object categories.
237 papers · 1 benchmark
CORe50 is a dataset designed for assessing Continual Learning techniques in an Object Recognition context.
132 papers · 0 benchmarks
Permuted MNIST is an MNIST variant that consists of 70,000 images of handwritten digits from 0 to 9, where 60,000 images are used for training, and 10,000 images for test.
121 papers · 1 benchmark
WikiArt contains painting from 195 different artists.
96 papers · 2 benchmarks
67 papers · 2 benchmarks
ROAD (ROAD: The ROad event Awareness Dataset for Autonomous Driving)
ROAD is designed to test an autonomous vehicle's ability to detect road events, defined as triplets composed by an active agent, the action(s) it performs and the corresponding scene locations.
27 papers · 0 benchmarks
With social media becoming increasingly popular on which lots of news and real-time events are reported, developing automated question answering systems is critical to the effectiveness of many applications that rely on real-time knowledge.
19 papers · 1 benchmark
Continual World is a benchmark consisting of realistic and meaningfully diverse robotic tasks built on top of Meta-World as a testbed.
15 papers · 0 benchmarks
This dataset has 20 classes and each class has about 1000 documents.
11 papers · 1 benchmark
ASC (TIL, 19 tasks) (Task Incremental Aspect Sentiment Classification)
A set of 19 ASC datasets (reviews of 19 products) producing a sequence of 19 tasks.
11 papers · 1 benchmark
LReID is a benchmark for lifelong person reidentification.
8 papers · 0 benchmarks
The goal of this challenge is to solve simultaneously ten image classification problems representative of very different visual domains.
8 papers · 1 benchmark
DSC (10 tasks) (Task Incremental Document Sentiment Classification)
A set of 10 DSC datasets (reviews of 10 products) to produce sequences of tasks.
6 papers · 1 benchmark
F-CelebA (10 tasks) (Federated-CelebA (10 tasks))
F-CelebA - This dataset is adapted from federated learning.
6 papers · 1 benchmark
Wild-Time is a benchmark of 5 datasets that reflect temporal distribution shifts arising in a variety of real-world applications, including patient prognosis and news classification.
6 papers · 0 benchmarks
TemporalWiki is a lifelong benchmark for ever-evolving LMs that utilizes the difference between consecutive snapshots of English Wikipedia and English Wikidata for training and evaluation, respectively.
4 papers · 0 benchmarks
HASY is a dataset of single symbols similar to MNIST.
3 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
3 papers · 2 benchmarks
UESTC-MMEA-CL (A multi-modal egocentric activity dataset for continual learning)
UESTC-MMEA-CL is a new multi-modal activity dataset for continual egocentric activity recognition, which is proposed to promote future studies on continual learning for first-person activity recognition in wearable applications.
3 papers · 0 benchmarks
InVar-100 (Industrial Objects in Varied Contexts)
The Industrial Objects in Varied Contexts (InVar) Dataset was internally produced by our team and contains 100 objects in 20800 total images (208 images per class).
2 papers · 0 benchmarks
(L)ifel(O)ng (R)obotic V(IS)ion (OpenLORIS) - Object Recognition Dataset (OpenLORIS-Object) is designed for accelerating the lifelong/continual/incremental learning research and application，currently focusing on improving the continuous…
2 papers · 0 benchmarks
SKILL-102 (SKILL 102 Lifelong Learning Dataset)
SKILL-102 consists of 102 image classification datasets.
2 papers · 0 benchmarks
BeGin provides 23 benchmark scenarios for graph from 14 real-world datasets, which cover 12 combinations of the incremental settings and the levels of problem.
1 paper · 0 benchmarks
Provides two large-scale multi-step benchmarks for biometric identification, where the visual appearance of different classes are highly relevant.
1 paper · 0 benchmarks
ConCon Dataset (Continually Confounded Dataset)
ConCon: Continually Confounded Dataset is a confounded visual dataset for continual learning.
1 paper · 0 benchmarks
HOWS (HOWS-CL-25)
HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile robots operating in a changing environment (like a household), where it is…
1 paper · 2 benchmarks
SPOT-10 (Animal Pattern Benchmark Dataset for Machine Learning Algorithms)
The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species.
1 paper · 1 benchmark
TiROD (Tiny Robotics Object Detection)
Dataset to benchmark Continual Learning for Object Detection in a Tiny Robotics settings.
1 paper · 1 benchmark
idsprites (Infinite dSprites)
Easily generate simple continual learning benchmarks.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.