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#!/usr/bin/perl -w
# Graded relevance assessment script for the TREC 2010 Web track
# Evalution measures are written to standard output in CSV format.
#
# Currently reports only NDCG and ERR
# (see http://learningtorankchallenge.yahoo.com/instructions.php)
use constant LOGBASEDIV => log(2.0);
# gloals
my $QRELS;
my $VERSION = "version 1.3 (Mon Apr 29 20:50:24 EDT 2013)";
my $MAX_JUDGMENT = 4; # Maximum gain value allowed in qrels file.
my $K = 20; # Reporting depth for results.
my $USAGE = "usage: $0 [options] qrels run\n
options:\n
-c
Average over the complete set of topics in the relevance judgments
instead of the topics in the intersection of relevance judgments
and results.\n
-k value
Non-negative integer depth of ranking to evaluate in range [1,inf].
Default value is k=@{[($K)]}.\n
-baseline BASELINE_RUN_FILE
Baseline run to use for risk-sensitive evaluation\n
-riskAlpha value
Non-negative Risk sensitivity value to use when doing risk-sensitive
evaluation. A baseline must still be specified. By default 0.
The final weight to downside changes in performance is (1+value).\n";
use strict 'vars';
{ # main block to scope variables
if ($#ARGV >= 0 && ($ARGV[0] eq "-v" || $ARGV[0] eq "-version")) {
print "$0: $VERSION\n";
exit 0;
}
my $baselineRun = undef;
my $riskAlpha = 0;
my $cflag = 0;
while ($#ARGV != 1) # should probably replace this with perl's argument parsing
{
if ($#ARGV >= 0 && $ARGV[0] eq "-help") {
print "$USAGE\n";
exit 0;
}
elsif ($#ARGV >= 2 and ("-c" eq $ARGV[0]))
{
$cflag = 1;
shift @ARGV;
}
elsif ($#ARGV >= 3 and ("-k" eq $ARGV[0]))
{
$K = int($ARGV[1]);
die $USAGE if ($K < 1);
# print STDERR "k=$K\n";
shift @ARGV; shift @ARGV;
}
elsif ($#ARGV >= 3 and ("-baseline" eq $ARGV[0]))
{
$baselineRun = $ARGV[1];
shift @ARGV; shift @ARGV;
}
elsif ($#ARGV >= 3 and ("-riskAlpha" eq $ARGV[0]))
{
$riskAlpha = $ARGV[1];
die $USAGE if ($riskAlpha < 0.0);
shift @ARGV; shift @ARGV;
}
else
{
die $USAGE;
}
}
die $USAGE unless $#ARGV == 1;
$QRELS = $ARGV[0];
my $run = $ARGV[1];
# Read qrels file, check format, and sort
my @qrels = ();
my %seen = ();
open (QRELS,"<$QRELS") || die "$0: cannot open \"$QRELS\": $!\n";
while (<QRELS>) {
s/[\r\n]//g;
my ($topic, $zero, $docno, $judgment) = split (' ');
$topic =~ s/^.*\-//;
die "$0: format error on line $. of \"$QRELS\"\n"
unless
$topic =~ /^[0-9]+$/ && $zero == 0
&& $judgment =~ /^-?[0-9]+$/ && $judgment <= $MAX_JUDGMENT;
if ($judgment > 0) {
$qrels[$#qrels + 1]= "$topic $docno $judgment";
$seen{$topic} = 1;
}
}
close (QRELS);
@qrels = sort qrelsOrder (@qrels);
# Process qrels: store judgments and compute ideal gains
my $topicCurrent = -1;
my %ideal = ();
my @gain = ();
my %judgment = ();
for (my $i = 0; $i <= $#qrels; $i++) {
my ($topic, $docno, $judgment) = split (' ', $qrels[$i]);
if ($topic != $topicCurrent) {
if ($topicCurrent >= 0) {
$ideal{$topicCurrent} = &dcg($K, @gain);
$#gain = -1;
}
$topicCurrent = $topic;
}
next if $judgment < 0;
$judgment{"$topic:$docno"} = $gain[$#gain + 1] = $judgment;
}
if ($topicCurrent >= 0) {
$ideal{$topicCurrent} = &dcg($K, @gain);
$#gain = -1;
}
# process baseline if doing risk sensitive
my ($baseNDCGByTopic,$baseERRByTopic,$baserunname);
if (defined $baselineRun)
{
($baseNDCGByTopic,$baseERRByTopic,$baserunname) = processRun($baselineRun,0,\%seen,\%ideal,\%judgment,$cflag,0);
}
# process main run
processRun($run,1,\%seen,\%ideal,\%judgment,$cflag,defined($baselineRun),$riskAlpha,$baserunname,$baseNDCGByTopic,$baseERRByTopic);
exit 0;
} # end main block
# comparison function for qrels: by topic then judgment
sub qrelsOrder {
my ($topicA, $docnoA, $judgmentA) = split (' ', $a);
my ($topicB, $docnoB, $judgmentB) = split (' ', $b);
if ($topicA < $topicB) {
return -1;
} elsif ($topicA > $topicB) {
return 1;
} else {
return $judgmentB <=> $judgmentA;
}
}
# comparison function for runs: by topic then score then docno
sub runOrder {
my ($topicA, $docnoA, $scoreA) = split (' ', $a);
my ($topicB, $docnoB, $scoreB) = split (' ', $b);
if ($topicA < $topicB) {
return -1;
} elsif ($topicA > $topicB) {
return 1;
} elsif ($scoreA < $scoreB) {
return 1;
} elsif ($scoreA > $scoreB) {
return -1;
} elsif ($docnoA lt $docnoB) {
return 1;
} elsif ($docnoA gt $docnoB) {
return -1;
} else {
return 0;
}
}
# compute DCG over a sorted array of gain values, reporting at depth $k
sub dcg {
my ($k, @gain) = @_;
my ($i, $score) = (0, 0);
for ($i = 0; $i <= ($k <= $#gain ? $k - 1 : $#gain); $i++) {
$score += (2**$gain[$i] - 1)/(log ($i + 2)/ +LOGBASEDIV);
}
return $score;
}
# compute ERR over a sorted array of gain values, reporting at depth $k
sub err {
my ($k, @gain) = @_;
my ($i, $score, $decay, $r);
$score = 0.0;
$decay = 1.0;
for ($i = 0; $i <= ($k <= $#gain ? $k - 1 : $#gain); $i++) {
$r = (2**$gain[$i] - 1)/(2**$MAX_JUDGMENT);
$score += $r*$decay/($i + 1);
$decay *= (1 - $r);
}
return $score;
}
sub riskWeighted
{
my ($run,$base,$alpha) = @_;
if ($run < $base)
{
$run = (1+$alpha) * ($run - $base);
}
else
{
$run = $run - $base;
}
return $run;
}
# compute and report information for current topic
sub topicDone {
my ($printTopic, $runid, $topic, $pndcgTotal, $perrTotal, $ptopics, $pseen, $pideal,
$isRiskSensitive, $riskAlpha, $baseNDCG, $baseERR, @gain) = @_;
my($ndcg, $err) = (0, 0);
if (exists($$pseen{$topic}) and defined($$pseen{$topic}) and $$pseen{$topic}) {
$ndcg = &dcg($K, @gain)/$$pideal{$topic};
$err = &err ($K, @gain);
$ndcg = riskWeighted($ndcg,$baseNDCG,$riskAlpha) if ($isRiskSensitive);
$err = riskWeighted($err,$baseERR,$riskAlpha) if ($isRiskSensitive);
$$pndcgTotal += $ndcg;
$$perrTotal += $err;
$$ptopics++;
printf("$runid,$topic,%.5f,%.5f\n",$ndcg,$err) if ($printTopic);
return ($ndcg,$err);
}
}
sub processRun
{
my ($run,$printTopics,$pseen,$pideal,$pjudgment,$avgOverAllTopics,$isRiskSensitive,$riskAlpha,$baserunname,$baseNDCGByTopic,$baseERRByTopic) = @_;
my $ndcgByTopic = {()};
my $errByTopic = {()};
my $runid = "?????";
my @run = ();
# Read run rile, check format, and sort
open (RUN,"<$run") || die "$0: cannot open \"$run\": $!\n";
while (<RUN>) {
s/[\r\n]//g;
my ($topic, $q0, $docno, $rank, $score);
($topic, $q0, $docno, $rank, $score, $runid) = split (' ');
$topic =~ s/^.*\-//;
die "$0: format error on line $. of \"$run\"\n"
unless
$topic =~ /^[0-9]+$/ && $q0 eq "Q0" && $rank =~ /^[0-9]+$/ && $runid;
$run[$#run + 1] = "$topic $docno $score";
}
@run = sort runOrder (@run);
my %processed = ();
foreach my $topic (%$pseen)
{
$processed{$topic} = 0;
}
if ($isRiskSensitive)
{
$runid = sprintf("%s (rel to. %s, rs=1+a, a=%s)",$runid,$baserunname,$riskAlpha);
}
# Process runs: compute measures for each topic and average
my $ndcgTotal = 0;
my $errTotal = 0;
my $topics = 0;
print "runid,topic,ndcg\@$K,err\@$K\n" if ($printTopics);
my $topicCurrent = -1;
my @gain = ();
for (my $i = 0; $i <= $#run; $i++) {
my ($topic, $docno, $score) = split (' ', $run[$i]);
if ($topic != $topicCurrent) {
if ($topicCurrent >= 0) {
my ($baseNDCG,$baseERR) = 0;
if ($isRiskSensitive)
{
$baseNDCG = $$baseNDCGByTopic{$topicCurrent} if (exists($$baseNDCGByTopic{$topicCurrent}) and defined($$baseNDCGByTopic{$topicCurrent}));
$baseERR = $$baseERRByTopic{$topicCurrent} if (exists($$baseERRByTopic{$topicCurrent}) and defined($$baseERRByTopic{$topicCurrent}));
}
my ($ndcg,$err) = &topicDone ($printTopics, $runid, $topicCurrent, \$ndcgTotal, \$errTotal, \$topics,
$pseen, $pideal, $isRiskSensitive, $riskAlpha, $baseNDCG, $baseERR, @gain);
$$ndcgByTopic{$topicCurrent} = $ndcg;
$$errByTopic{$topicCurrent} = $err;
$processed{$topicCurrent} = 1;
$#gain = -1;
}
$topicCurrent = $topic;
}
my $j = $$pjudgment{"$topic:$docno"};
$j = 0 unless $j;
$gain[$#gain + 1] = $j;
}
if ($topicCurrent >= 0) {
my ($baseNDCG,$baseERR) = 0;
if ($isRiskSensitive)
{
$baseNDCG = $$baseNDCGByTopic{$topicCurrent} if (exists($$baseNDCGByTopic{$topicCurrent}) and defined($$baseNDCGByTopic{$topicCurrent}));
$baseERR = $$baseERRByTopic{$topicCurrent} if (exists($$baseERRByTopic{$topicCurrent}) and defined($$baseERRByTopic{$topicCurrent}));
}
my ($ndcg,$err) = &topicDone ($printTopics, $runid, $topicCurrent, \$ndcgTotal, \$errTotal, \$topics,
$pseen, $pideal, $isRiskSensitive, $riskAlpha, $baseNDCG, $baseERR, @gain);
$$ndcgByTopic{$topicCurrent} = $ndcg;
$$errByTopic{$topicCurrent} = $err;
$processed{$topicCurrent} = 1;
$#gain = -1;
}
my $numTopics = $topics; # $topics has the number in the run (at this point)
if ($avgOverAllTopics)
{
$numTopics = scalar(keys %$pseen); # we want denominator to change whenever flag is on but only need to compute differences for risk
if ($isRiskSensitive)
{ # need to process any topics that were missing from run
my ($baseNDCG,$baseERR) = 0;
my @gain = ();
foreach my $topicCurrent (sort {$a <=> $b} keys %processed)
{
next if ($processed{$topicCurrent});
$baseNDCG = $$baseNDCGByTopic{$topicCurrent} if (exists($$baseNDCGByTopic{$topicCurrent}) and defined($$baseNDCGByTopic{$topicCurrent}));
$baseERR = $$baseERRByTopic{$topicCurrent} if (exists($$baseERRByTopic{$topicCurrent}) and defined($$baseERRByTopic{$topicCurrent}));
my ($ndcg,$err) = &topicDone ($printTopics, $runid, $topicCurrent, \$ndcgTotal, \$errTotal, \$topics,
$pseen, $pideal, $isRiskSensitive, $riskAlpha, $baseNDCG, $baseERR, @gain);
}
}
}
my $ndcgAvg = $ndcgTotal;
my $errAvg = $errTotal;
if ($numTopics > 0)
{
$ndcgAvg /= $numTopics;
$errAvg /= $numTopics;
}
printf "$runid,amean,%.5f,%.5f\n",$ndcgAvg,$errAvg if ($printTopics);
return ($ndcgByTopic,$errByTopic,$runid);
close(RUN);
}
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