Dataset links and short descriptions

dataset_links.md

Dataset Compass

An entry level description of various datasets and their accessibility.

Very easy to access:

Many examples, but kind of boring

Datasets housed within sklearn - http://scikit-learn.org/stable/datasets/index.html
(examples - mnist number images, boston housing prices, iris types, Titantic survivors)

Moderately easy to access:

Interesting, likely with example code somewhere on the internet

Kaggle - https://www.kaggle.com/datasets
(examples - credit card fraud, world happiness index, horse colic)

UCI Datasets - https://archive.ics.uci.edu/ml/
(examples - wine quality, forest fires)

Moderately difficult to access - sources for new/raw data:

Interesting and new data, sizes will vary and data may be incomplete

montreal - http://donnees.ville.montreal.qc.ca/
nyc - https://opendata.cityofnewyork.us/
usa open data - https://www.data.gov/
health - https://www.healthdata.gov/
education - https://www.data.gov/education/
sustainability - https://cs.stanford.edu/~ermon/cs325/

Advanced - traditional, large datasets:

Likely won't fit on your laptop, commonly used in research and to train real-world systems

mscoco - http://mscoco.org/
(300,000+ images, image recognition, human-keypoints, segmentation, and captioning dataset)

CIFAR10/CIFAR100 - https://www.cs.toronto.edu/~kriz/cifar.html
(Large dataset of 32x32 color labeled images with 10/100 labeled classes)

IMAGENET - http://www.image-net.org/
(Image database organized according to the WordNet hierarchy)

Dataset aggregators:

Described by objective - https://deeplearning4j.org/opendata

Data preprocessing:

http://scikit-learn.org/stable/modules/preprocessing.html

Please leave comments if you have more dataset links

List of potential projects and datasets in computational sustainability : http://cs.stanford.edu/~ermon/cs325/