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Change Point Detection datasets

archive 2025-07-28

9 datasets carry the task tag "Change Point Detection" (the task itself: Change Point Detection), 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 52Change Point Detection 9

Change Point Detection datasets 1–9 of 9

TSSB (Time Series Segmentation Benchmark)
The time series segmentation benchmark (TSSB) currently contains 75 annotated time series (TS) with 1-9 segments.
Time seriesSemantic SegmentationTime Series AnalysisChange Point Detection
9 papers · 1 benchmark
Epinion
The Epinions dataset is trust network dataset.
Recommendation SystemsOutlier DetectionChange Point Detection
5 papers · 1 benchmark
Turing Change Point Dataset
Specifically designed for the evaluation of change point detection algorithms, consisting of 37 time series from various domains.
Change Point Detection
4 papers · 0 benchmarks
SKAB (Skoltech Anomaly Benchmark)
SKAB is designed for evaluating algorithms for anomaly detection.
Time seriesTablesAnomaly DetectionOutlier DetectionChange Point Detection
3 papers · 2 benchmarks
TEP (Tennessee Eastman Process)
The original paper presented a model of the industrial chemical process named Tennessee Eastman Process and a model-based TEP simulator for data generation.
Time seriesAnomaly DetectionChange Point Detection
2 papers · 1 benchmark
CSTS (Correlation Structures in Time Series)
CSTS: Correlation Structures in Time Series CSTS is a comprehensive synthetic benchmarking dataset designed specifically for evaluating correlation structure discovery in time series data.
TabularTime seriesChange Point DetectionBenchmarkingTime Series Clustering
1 paper · 0 benchmarks
HASCD (Human Activity Segmentation Challenge Dataset)
HASCD (Human Activity Segmentation Challenge Dataset) contains 250 annotated multivariate time series capturing 10.7 h of real-world human motion smartphone sensor data from 15 bachelor computer science students.
Time seriesSemantic SegmentationActivity RecognitionTime Series AnalysisTime SeriesHuman Activity RecognitionChange Point Detection
1 paper · 0 benchmarks
Labelling for Explosions and Road accidents from UCF-Crime
The whole UCF-Crime dataset consists of real-world 240 × 320 RGB videos with 13 realistic anomaly types such as explosion, road accident, burglary, etc., and normal examples.
Change Point Detection
1 paper · 0 benchmarks
MOSAD (Mobile Sensing Human Activity Data Set)
MOSAD (Mobile Sensing Human Activity Data Set) is a multi-modal, annotated time series (TS) data set that contains 14 recordings of 9 triaxial smartphone sensor measurements (126 TS) from 6 human subjects performing (in part) 3 motion…
Time seriesSemantic SegmentationActivity RecognitionTime Series AnalysisTime SeriesHuman Activity RecognitionChange Point Detection+1 tasks
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.