データセット一覧

# データセット一覧

機械学習の手法の勉強や，手法のベンチマークなどに使うデータセットの一覧です．

## Synthetic datasets
| dataset                   | Classes | Instances | Dimension | function |
|:--------------------------|:--------|:----------|:----------|:----------|
| blobs                     | k       | N         | d         |sklearn.datasets.make_blobs|   
| moons                     | 2       | N         | 2         |sklearn.datasets.make_moons|
| circles                   | 2       | N         | 2         |sklearn.datasets.make_circles|
| S curve                   | 1       | N         | 2         |sklearn.datasets.make_s_curve|
| swiss roll                | 1       | N         | 2         |sklearn.datasets.make_swiss_roll|

## Datasets
| dataset                   | Classes | Instances | Dimension |function |
|:--------------------------|:--------|:--------|:----------|:----------|
| [Iris][iris]              | 3       | 150     | 4         |sklearn.datasets.load_iris|
| [Wine][wine]              | 3       | 178     | 13        |sklearn.datasets.load_wine|
| [Libras Movement][libras] | 15      | 360     | 91        ||
| [Ecoil][ecoil]            | 8       | 336     | 7         ||
| [Yeast][yeast]            | 10      | 1484    | 8         ||
| [Glass][glass]            | 7       | 214     | 9         ||
| [Spam][spam]              | 2       | 4601    | 57        ||
| [CNAE-9][cnae]            | 9       | 1080    | 857       ||

## Image datasets

| dataset                          | Classes | Instances                                             | Dimension          |function |
|:---------------------------------|:--------|:----------------------------------------------------|:-------------------|:----------|
| [Handwritten digits][digits]     | 10      | 5620                                                | 8 * 8              | sklearn.datasets.load_digits |
| [MNIST][mnist]                   | 10      | 60,000 (training) 10,000 (test)                     | 28 * 28            |torchvision.datasets.MNIST|
| [Fasion MNIST][fmnist]           | 10      | 60,000 (training) 10,000 (test)                     | 28 * 28            |torchvision.datasets.FashionMNIST|
| [CIFAR-10][cifar10]              | 10      | 60000 (50000 training images and 10000 test images) | 32 * 32            |torchvision.datasets.CIFAR10|
| [STL10][stl10]                   | 10      | 500 training images, 800 test images per class      | 96 * 96            |torchvision.datasets.STL10|
| [Olivetti face images][olivetti] | 40      | 400                                                 | 92 * 112 (64 * 64) |sklearn.datasets.fetch_olivetti_faces|
| [Stanford Dogs Dataset][dogs]    | 120     | 20580                                               | 375 * 50           ||



## [Shape data][shape]

| dataset     | classes | Objects | Dimension |
|:------------|:--------|:--------|:----------|
| t4.8k       | 6       | 8000    | 2         |
| t7.10k      | 9       | 8000    | 2         |
| [Complex9][complex9] | 9 | 3031 |2|
| t8.8k       | 8       | 10000    | 2         |
| Aggregation | 7       | 788     | 2         |
| Spiral      | 3       | 312     | 2         |
| D31         | 31      | 3100    | 2         |
| R15         | 15      | 600     | 2         |
| Flame       | 2       | 240     | 2         |
| Compound    | 6       | 399     | 2         |
| pathbased   | 3       | 300     | 2         |

![output.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/190459/cbeed4a6-4d5e-2c4c-92b6-3cf3f9e5b9c1.png)

## 異常検知

|dataset|種類|
|:------|:------|
|[MVTecAD][mvtecad]|画像|
|[ADFI][adfi]|画像|
|[ToyADMOS][toy]|音|
|[VisA][visa]   |画像|
|[MPDD][mpdd]   |画像|
|[VT-ADL][vt-adl]|画像|
|[DAGM][dagm]|画像|
|[UCIリポジトリ](https://archive.ics.uci.edu/datasets?skip=0&take=10&sort=desc&orderBy=NumHits&search=&Types=Time-Series)||

## 時系列データ
|dataset||
|:------|:-----|
|[Daily Climate time series data](https://www.kaggle.com/datasets/sumanthvrao/daily-climate-time-series-data)||
|[Air Passengers](https://www.kaggle.com/datasets/rakannimer/air-passengers)||
|[Flow of the River Nile](https://www.kaggle.com/datasets/lsind18/flow-of-the-river-nile)||
|[NASA Anomaly Detection Dataset SMAP & MSL](https://www.kaggle.com/datasets/patrickfleith/nasa-anomaly-detection-dataset-smap-msl)||
|[kaggle](https://www.kaggle.com/datasets?tags=13209-Time+Series+Analysis)||


## データサイト

- [UC Irvine Machine Learning Repository](https://archive.ics.uci.edu/)
- [Kaggle](https://www.kaggle.com/datasets)
- [e-stat](https://www.e-stat.go.jp/)
- [気象庁](https://www.data.jma.go.jp/gmd/risk/obsdl/index.php#)
- [筑波大学データバンク](https://commons.sk.tsukuba.ac.jp/data)


[iris]: https://archive.ics.uci.edu/ml/datasets/iris
[wine]: https://archive.ics.uci.edu/ml/datasets/wine
[digits]: http://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits
[mnist]:http://yann.lecun.com/exdb/mnist/
[fmnist]:https://github.com/zalandoresearch/fashion-mnist
[olivetti]: https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
[libras]: https://archive.ics.uci.edu/ml/datasets/Libras+Movement
[spam]: https://archive.ics.uci.edu/ml/datasets/spambase
[cnae]: https://archive.ics.uci.edu/ml/datasets/CNAE-9
[cifar10]: https://www.cs.toronto.edu/~kriz/cifar.html
[stl10]: https://ai.stanford.edu/~acoates/stl10/
[dogs]: http://vision.stanford.edu/aditya86/ImageNetDogs/
[ecoil]:https://archive.ics.uci.edu/ml/datasets/ecoli
[yeast]:https://archive.ics.uci.edu/ml/datasets/Yeast
[glass]:https://archive.ics.uci.edu/ml/datasets/glass+identification
[Shape]:https://cs.joensuu.fi/sipu/datasets/
[complex9]:http://dais.cs.uh.edu/resources.html
[mvtecad]:https://www.mvtec.com/company/research/datasets/mvtec-ad
[adfi]:https://adfi.jp/ja/download/
[toy]:https://github.com/YumaKoizumi/ToyADMOS-dataset
[visa]:https://github.com/amazon-science/spot-diff
[mpdd]:https://github.com/stepanje/MPDD
[vt-adl]:https://github.com/pankajmishra000/VT-ADL
[dagm]:https://hci.iwr.uni-heidelberg.de/content/weakly-supervised-learning-industrial-optical-inspection