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Meta-Learning datasets

archive 2025-07-28

17 datasets carry the task tag "Meta-Learning" (the task itself: Meta-Learning), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. 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 52Meta-Learning 17

Meta-Learning datasets 1–17 of 17

Meta-Dataset
The Meta-Dataset benchmark is a large few-shot learning benchmark and consists of multiple datasets of different data distributions.
ImagesImage ClassificationFew-Shot Image ClassificationMeta-LearningFew-Shot Learning
128 papers · 2 benchmarks
M4
The M4 dataset is a collection of 100,000 time series used for the fourth edition of the Makridakis forecasting Competition.
Time seriesTime Series ForecastingMeta-Learning
110 papers · 0 benchmarks
BlendedMVS
BlendedMVS is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS.
Meta-Learning3D ReconstructionNovel View Synthesis
105 papers · 0 benchmarks
Meta-World Benchmark
An open-source simulated benchmark for meta-reinforcement learning and multi-task learning consisting of 50 distinct robotic manipulation tasks.
Meta-LearningMulti-Task LearningMeta Reinforcement Learning
73 papers · 0 benchmarks
TyDiQA-GoldP
TyDiQA is the gold passage version of the Typologically Diverse Question Answering (TyDiWA) dataset, a benchmark for information-seeking question answering, which covers nine languages.
Question AnsweringMeta-LearningCross-Lingual TransferCross-Lingual Question Answering
38 papers · 1 benchmark
MQ2007
The MQ2007 dataset consists of queries, corresponding retrieved documents and labels provided by human experts.
RankingMeta-LearningInformation RetrievalLearning-To-Rank
32 papers · 0 benchmarks
ExtremeWeather
Encourages machine learning research in this area and to help facilitate further work in understanding and mitigating the effects of climate change.
Anomaly DetectionMeta-LearningWeather Forecasting
21 papers · 0 benchmarks
Kuzushiji-49
Kuzushiji-49 is an MNIST-like dataset that has 49 classes (28x28 grayscale, 270,912 images) from 48 Hiragana characters and one Hiragana iteration mark.
ImagesImage ClassificationMeta-Learning
10 papers · 0 benchmarks
CODEBRIM (COncrete DEfect BRidge IMage Dataset)
Dataset for multi-target classification of five commonly appearing concrete defects.
Meta-LearningNeural Architecture Search
9 papers · 0 benchmarks
Europeana Newspapers
Europeana Newspapers consists of four datasets with 100 pages each for the languages Dutch, French, German (including Austrian) as part of the Europeana Newspapers project is expected to contribute to the further development and…
Named Entity Recognition (NER)Meta-LearningCross-Lingual NER
5 papers · 0 benchmarks
FIGR-8
The FIGR-8 database is a dataset containing 17,375 classes of 1,548,256 images representing pictograms, ideograms, icons, emoticons or object or conception depictions.
ImagesImage GenerationMeta-LearningFew-Shot Learning
4 papers · 0 benchmarks
MEx
A multi-sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms.
Activity RecognitionMeta-Learning
3 papers · 0 benchmarks
Prostate MRI Segmentation Dataset
This prostate MRI segmentation dataset is collected from six different data sources.
MedicalMeta-LearningDomain Generalization
3 papers · 0 benchmarks
L-Bird (Large-Bird)
The L-Bird (Large-Bird) dataset contains nearly 4.8 million images which are obtained by searching images of a total of 10,982 bird species from the Internet.
ImagesMeta-LearningActive LearningFine-Grained Visual Categorization
2 papers · 0 benchmarks
ToM-in-AMC
ToM-in-AMC is a novel NLP benchmark, Short for Theory-of-Mind meta-learning Assessment with Movie Characters.
TextsMeta-LearningFew-Shot Learning
2 papers · 0 benchmarks
Chinese Literature NER RE
Chinese Literature NER RE is a Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.
TextsNamed Entity Recognition (NER)Relation ExtractionMeta-Learning
1 paper · 0 benchmarks
Meta Omnium
Meta Omnium is a dataset-of-datasets spanning multiple vision tasks including recognition, keypoint localization, semantic segmentation and regression.
Semantic SegmentationMeta-Learningregression
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.