jonborchardt / hack18 Goto Github PK

to run UI

pull repo then run these commands: yarn yarn run start

grab data from http://labs.semanticscholar.org/corpus/

for i in seq 0 39 ; do curl "https://s3-us-west-2.amazonaws.com/ai2-s2-research-public/open-corpus/corpus-2018-05-03/s2-corpus-$i.gz" --output "s2-corpus-$i.gz"; done

or aws s3 cp --recursive s3://ai2-s2-research-public/open-corpus/ destinationPath

or wget -i https://s3-us-west-2.amazonaws.com/ai2-s2-research-public/open-corpus/manifest.txt

corpus-2018-05-03/s2-corpus-00.gz corpus-2018-05-03/s2-corpus-01.gz corpus-2018-05-03/s2-corpus-02.gz corpus-2018-05-03/s2-corpus-03.gz corpus-2018-05-03/s2-corpus-04.gz corpus-2018-05-03/s2-corpus-05.gz corpus-2018-05-03/s2-corpus-06.gz corpus-2018-05-03/s2-corpus-07.gz corpus-2018-05-03/s2-corpus-08.gz corpus-2018-05-03/s2-corpus-09.gz corpus-2018-05-03/s2-corpus-10.gz corpus-2018-05-03/s2-corpus-11.gz corpus-2018-05-03/s2-corpus-12.gz corpus-2018-05-03/s2-corpus-13.gz corpus-2018-05-03/s2-corpus-14.gz corpus-2018-05-03/s2-corpus-15.gz corpus-2018-05-03/s2-corpus-16.gz corpus-2018-05-03/s2-corpus-17.gz corpus-2018-05-03/s2-corpus-18.gz corpus-2018-05-03/s2-corpus-19.gz corpus-2018-05-03/s2-corpus-20.gz corpus-2018-05-03/s2-corpus-21.gz corpus-2018-05-03/s2-corpus-22.gz corpus-2018-05-03/s2-corpus-23.gz corpus-2018-05-03/s2-corpus-24.gz corpus-2018-05-03/s2-corpus-25.gz corpus-2018-05-03/s2-corpus-26.gz corpus-2018-05-03/s2-corpus-27.gz corpus-2018-05-03/s2-corpus-28.gz corpus-2018-05-03/s2-corpus-29.gz corpus-2018-05-03/s2-corpus-30.gz corpus-2018-05-03/s2-corpus-31.gz corpus-2018-05-03/s2-corpus-32.gz corpus-2018-05-03/s2-corpus-33.gz corpus-2018-05-03/s2-corpus-34.gz corpus-2018-05-03/s2-corpus-35.gz corpus-2018-05-03/s2-corpus-36.gz corpus-2018-05-03/s2-corpus-37.gz corpus-2018-05-03/s2-corpus-38.gz corpus-2018-05-03/s2-corpus-39.gz sample-S2-records.gz license.txt

to unzip gzip -d sample-s2records.gz

Example This is a subset of the full Semantic Scholar corpus which represents papers crawled from the Web and subjected to a number of filters.

{ "id": "4cd223df721b722b1c40689caa52932a41fcc223", "title": "Knowledge-rich, computer-assisted composition of Chinese couplets", "paperAbstract": "Recent research effort in poem composition has focused on the use of automatic language generation...", "entities": [ "Conformance testing", "Natural language generation", "Natural language processing", "Parallel computing", "Stochastic grammar", "Web application" ], "s2Url": "https://semanticscholar.org/paper/4cd223df721b722b1c40689caa52932a41fcc223", "s2PdfUrl": "", "pdfUrls": [ "https://doi.org/10.1093/llc/fqu052" ], "authors": [ { "name": "John Lee", "ids": [ "3362353" ] }, "..." ], "inCitations": [ "c789e333fdbb963883a0b5c96c648bf36b8cd242" ], "outCitations": [ "abe213ed63c426a089bdf4329597137751dbb3a0", "..." ], "year": 2016, "venue": "DSH", "journalName": "DSH", "journalVolume": "31", "journalPages": "152-163", "sources": [ "DBLP" ], "doi": "10.1093/llc/fqu052", "doiUrl": "https://doi.org/10.1093/llc/fqu052", "pmid": "" }

Attributes: id string S2 generated research paper ID.

title string Research paper title.

paperAbstract string Extracted abstract of the paper.

entities list S2 extracted list of relevant entities or topics.

s2Url string URL to S2 research paper details page.

s2PdfUrl string URL to PDF on S2 if available.

pdfUrls list URLs related to this PDF scraped from the web.

authors list List of authors with an S2 generated author ID and name.

inCitations list List of S2 paperId's which cited this paper.

outCitations list List of paperId's which this paper cited.

year int Year this paper was published as integer.

venue string Extracted venue published.

journalName string Name of the journal that published this paper.

journalVolume string The volume of the journal where this paper was published.

journalPages string The pages of the journal where this paper was published.

sources list Identifies papers sourced from DBLP or Medline.

doi string Digital Object Identifier registered at doi.org.

doiUrl string DOI link for registered objects.

pmid string Unique identifier used by PubMed.