We sample a small portion of the frequently cited Movie graph, download this as json, then convert it to our format.
match (n)-[r]->(m) where rand()<0.001 return *
Their graph has 31,157 nodes and 170,499 relations. We expect ours to be proportionally smaller.
pages/neo4j-movie-graph
$ wget http://ward.dojo.fed.wiki/assets/pages/neo4j-movie-graph/convert.html
<p><button onclick=dodownload()>download</button></p> <div id=result></div> <script type=module> import { Graph } from 'https://wardcunningham.github.io/graph/graph.js' import { csv } from "https://cdn.skypack.dev/d3-fetch@3" try { const records = await fetch('./records.json').then(res => res.json()) // const records = await csv('./export.csv') console.log(records) window.result.innerText = `${records.length} records` } catch (e) { window.result.innerText = e.message } </script>
$ wget http://ward.dojo.fed.wiki/assets/pages/neo4j-movie-graph/records.json $ wget http://ward.dojo.fed.wiki/assets/pages/neo4j-movie-graph/export.csv
//wiki.ralfbarkow.ch/assets/pages/neo4j-movie-graph/convert.html
Neo4j goes to some length to allow us to try the live database with interesting datasets. Login here with user, password, and database "recommendations". neo4jlabs 