#datasets

DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia

« DBpedia is a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects. This structured information resembles an open knowledge graph (OKG) which is available for everyone on the Web. […] DBpedia data is served as Linked Data, which is revolutionizing the way applications interact with the Web. One can navigate this Web of facts with standard Web browsers, automated crawlers or pose complex queries with SQL-like query languages (e.g. SPARQL). Have you thought of asking the Web about all cities with low criminality, warm weather and open jobs? That’s the kind of query we are talking about. »

►https://wiki.dbpedia.org/about #datasets #knowledge #graph #rdf

Freebase Data Dumps – a snapshot of the data stored in Freebase and the Schema that structures it (22GB compressed)
▻https://developers.google.com/freebase #datasets #knowledge #graph #ntriples #rdf

Facets - Visualizations for ML datasets
▻https://pair-code.github.io/facets

https://2.bp.blogspot.com/-Kab341D9VYI/WWz0NrlzH_I/AAAAAAAAB5E/BkIxG4WnADgQTmAFxLSw2zoAuPvIRw6igCLcBGAs/s1600/image1.gif

Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.

▻https://research.googleblog.com/2017/07/facets-open-source-visualization-tool.html

#visualisation #csv #datasets (l’application est présentée comme un outil pour le #machine-learning)

@lazuly

Stanford Large Network Dataset Collection
▻https://snap.stanford.edu/data

Social networks : online social networks, edges represent interactions between people
Networks with ground-truth communities : ground-truth network communities in social and information networks
Communication networks : email communication networks with edges representing communication
Citation networks : nodes represent papers, edges represent citations
Collaboration networks : nodes represent scientists, edges represent collaborations (co-authoring a paper)
Web graphs : nodes represent webpages and edges are hyperlinks
Amazon networks : nodes represent products and edges link commonly co-purchased products
Internet networks : nodes represent computers and edges communication
Road networks : nodes represent intersections and edges roads connecting the intersections
Autonomous systems : graphs of the internet
Signed networks : networks with positive and negative edges (friend/foe, trust/distrust)
Location-based online social networks : Social networks with geographic check-ins
Wikipedia networks and metadata : Talk, editing and voting data from Wikipedia
Twitter and Memetracker : Memetracker phrases, links and 467 million Tweets
Online communities : Data from online communities such as Reddit and Flickr
Online reviews : Data from online review systems such as BeerAdvocate and Amazon
Information cascades : ...

Networks, networks, networks, networks...