UW CSE Dataset

Dataset 3: "UW-CSE"

All Datasets: boost-starai/BoostSRL-Datasets

by: Nandini Ramanan, Alexander L. Hayes

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Table of Contents:

1. Overview
2. Download
3. Setup
4. Modes

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Overview

From the UW-CSE Alchemy Page.

"This data set consists of information about the University of Washington Department of Computer Science and Engineering. The data has been anonymized to comply with the University of Washington's privacy guidelines."

As usual, the version here is a .zip with the necessary background and train/test folders.

Target: advisedby

The facts contain information on fourteen labels: courselevel, hasposition, inphase, professor, projectmember, publication, samecourse, sameperson, sameproject, student, ta, taughtby, tempadvisedby, yearsinprogram.

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Download

Download: UW-CSE.zip (257 KB)

• md5sum: 5e8217ebdb835ff8b6ff94eb3880d96b

• sha256sum: f16be492805bdac95cded02a3a3e590c29a68145f5ea59eb4180c300fb23b7e2

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Setup

Linux/Mac:

1. After downloading, unzip UW-CSE.zip

unzip UW-CSE.zip

2. If you're using a jar file, move it into the UW-CSE directory:

mv (jar file) UW-CSE/

3. Learning:

• java -jar BoostSRL.jar -l -train train/ -target advisedby -trees 10

4. Inference:

• java -jar BoostSRL.jar -i -test test/ -model train/models/ -target advisedby -trees 10

Windows:

(Coming soon)

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Modes

setParam: loadAllLibraries = false.
setParam: treeDepth=3.
setParam: nodeSize=1.
setParam: numOfClauses=8.
setParam: numOfCycles=8.
importLibrary:  listsInLogic.
queryPred: advisedby/2.
mode: professor(+Person).
mode: student(+Person).
mode: publication(+Title, -Person).
mode: publication(-Title, +Person).
mode: taughtby(+Course, +Person, -Quarter).
mode: taughtby(+Course, -Person, +Quarter).
mode: taughtby(-Course, +Person, -Quarter).
mode: courselevel(+Course, +Level).
mode: courselevel(+Course, #Level).
mode: hasposition(+Person, +Position!1).
mode: hasposition(+Person, #Position).
mode: multiclass_hasposition(+Person).
okIfUnknown: multiclass_hasposition/1.
mode: projectmember(+Project, -Person).
mode: projectmember(-Project, +Person).
range: Position={faculty_affiliate,faculty,faculty_adjunct,faculty_emeritus}.
range: Phase={pre_quals,post_generals,post_quals}.
mode: position(+Position).
mode: phase(+Phase).
position(faculty_affiliate).
position(faculty).
position(faculty_adjunct).
position(faculty_emeritus).
phase(pre_quals).
phase(post_generals).
phase(post_quals).
mode: advisedby(+Person, +Person).
mode: inphase(+Person, +Phase!1).
mode: inphase(+Person, #Phase).
mode: multiclass_inphase(+Person).
okIfUnknown: multiclass_inphase/1.
mode: tempadvisedby(-Person, +Person).
mode: tempadvisedby(+Person, -Person).
mode: yearsinprogram(+Person, #Integer).
mode: ta(+Course, -Person, +Quarter).
mode: ta(+Course, +Person, -Quarter).
mode: ta(-Course, +Person, -Quarter).
mode: sameperson(+Person, +Person).
mode: samecourse(+Course, +Course). 
mode: sameproject(+Project, +Project). 
mode: have_more_than_n_pubs(+Person, #PThresh).
mode: have_more_than_n_common_pubs(+Person, -Person, #PThresh).
mode: have_more_than_n_common_pubs(-Person, +Person, #PThresh).
mode: count_taughtby(+Person, -PThresh).
mode: count_publications(+Person, -PThresh).
mode: count_common_pubs(+Person, -Person, -PThresh).
mode: count_common_pubs(-Person, +Person, -PThresh).
usePrologVariables: true.
precompute:
commonpub(Title, P1,P2) :- publication(Title, P1), publication(Title, P2),P1\==P2.
precompute:
commonta(C,Q,P1,P2) :- ta(C,P2,Q), taughtby(C,P1,Q).
precompute1: 
count_taughtby(Person,N) :- taughtby(SomeC, Person, SomeQ), all([Course, Quarter], taughtby(Course, Person, Quarter), AllCourses), N is length(AllCourses).
precompute1: 
count_publications(Person,N) :- publication(Somet, Person), all(Title, publication(Title, Person), AllTitles), N is length(AllTitles).
precompute1: 
count_common_pubs(P1,P2,N) :- commonpub(Somet, P1,P2), all(Title, commonpub(Title, P1,P2), AllTitles),  N is length(AllTitles).
precompute2: 
have_more_than_n_pubs(A,N) :-
	        count_publications(A,N2),
		member(N,[1, 3, 5, 7, 9,11,13,15]),
		        N2 > N.
precompute2: 
have_more_than_n_common_pubs(A1,A2,N) :-
	        count_common_pubs(A1,A2,N2),
		member(N,[1, 3, 5, 7, 9,11,13,15]),
		        N2 > N.

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