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AutoML datasets

archive 2025-07-28

9 datasets carry the task tag "AutoML" (the task itself: AutoML), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. 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 52AutoML 9

AutoML datasets 1–9 of 9

NAS-Bench-101
NAS-Bench-101 is the first public architecture dataset for NAS research.
TabularAutoMLNeural Architecture SearchHyperparameter Optimization
152 papers · 1 benchmark
MedMNIST
A collection of 10 pre-processed medical open datasets.
AutoML
59 papers · 0 benchmarks
PMLB (Penn Machine Learning Benchmarks)
The Penn Machine Learning Benchmarks (PMLB) is a large, curated set of benchmark datasets used to evaluate and compare supervised machine learning algorithms.
AutoMLHyperparameter Optimization
42 papers · 0 benchmarks
NAS-Bench-1Shot1
NAS-Bench-1Shot1 draws on the recent large-scale tabular benchmark NAS-Bench-101 for cheap anytime evaluations of one-shot NAS methods.
AutoMLNeural Architecture SearchAdversarial Attack
24 papers · 0 benchmarks
CSS10
A collection of single speaker speech datasets for ten languages.
AutoMLSpeech Synthesis
22 papers · 0 benchmarks
Wine (Wine Data Set)
These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars.
ImagesGraph ClassificationAutoMLGeneral ClassificationImage/Document ClusteringFeature ImportanceIncremental Constrained Clustering
11 papers · 6 benchmarks
Chalearn-AutoML-1
This meta-dataset is first used in the AutoML1 challenge organized by Chalearn in 2015.
AutoML
1 paper · 1 benchmark
GenoTEX (An LLM Agent Benchmark for Automated Gene Expression Data Analysis)
GenoTEX (Genomics Data Automatic Exploration Benchmark) is a benchmark dataset for the automated analysis of gene expression data to identify disease-associated genes while considering the influence of other biological factors.
TextsTabularCode GenerationAutoMLBenchmarking
1 paper · 0 benchmarks
OrdinalDataset (Ordinal Encoding Data set)
It includes 10 data sets that consists of both raw data set and encoded data set where it is encoded through BERT-Sort Encoder with MLM initialization of .
TextsAutoMLSentence Ordering
1 paper · 1 benchmark

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.