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run_eval.py
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run_eval.py
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#! /usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import argparse
import collections
from Metrics.bleu.bleu import Bleu
from Metrics.rouge.rouge import Rouge
from Metrics.meteor.meteor import Meteor
from Metrics.cider.cider import Cider
def parse_args():
parser = argparse.ArgumentParser(
description="automatic evaluation for NLG systems",
usage="run_eval.py [<args>] [-h | --help]"
)
# input files
parser.add_argument("--hypos", type=str, required=True,
help="Path of hypothesis file")
parser.add_argument("--refs", type=str, required=True, nargs="+",
help="Path of reference file")
# metrics
parser.add_argument("-n", "--ngram", type=int, default=4,
help="calculate BLEU-n score")
parser.add_argument("-lc", "--lowercase", action="store_true",
help="evaluation in lowercase mode")
parser.add_argument("-nB", "--no_BLEU", action="store_true",
help="do not use BLEU as metric")
parser.add_argument("-nM", "--no_METEOR", action="store_true",
help="do not use METEOR as metric")
parser.add_argument("-nR", "--no_ROUGE", action="store_true",
help="do not use ROUGE-L as metric")
parser.add_argument("-nC", "--no_CIDEr", action="store_true",
help="do not use CIDEr as metric")
return parser.parse_args()
def _lc(inputs):
output = {}
for k, v in inputs.items():
output[k] = [s.lower() for s in v]
return output
class Evaluate(object):
def __init__(self, bleu=True, meteor=True,
rouge=True, cider=True, n=4, lowercase=False):
self.lc = lowercase
self.scorers = []
if bleu:
if n < 0:
raise ValueError("n: %d must be a positive integer." % n)
self.scorers.append(
(Bleu(n), ["BLEU-%d" % i for i in range(1, n + 1)]))
if meteor:
self.scorers.append((Meteor(), "METEOR"))
if rouge:
self.scorers.append((Rouge(), "ROUGE-L"))
if cider:
self.scorers.append((Cider(), "CIDEr"))
def convert(self, data):
if isinstance(data, basestring):
return data.encode("utf-8")
if isinstance(data, collections.Mapping):
return dict(map(self.convert, data.items()))
if isinstance(data, collections.Iterable):
return type(data)(map(self.convert, data))
return data
def score(self, refs, hypos):
final_scores = {}
for scorer, metric in self.scorers:
score, _ = scorer.compute_score(refs, hypos)
if isinstance(metric, list):
for m, s in zip(metric, score):
final_scores[m] = s
else:
final_scores[metric] = score
return final_scores
def evaluate(self, get_scores=True, live=False, **kwargs):
if live:
in_refs = kwargs.pop("refs", {})
in_hypos = kwargs.pop("hypos", {})
refs = {}
hypos = {}
ids = 0
for k, v in in_hypos.items():
hypos[ids] = [v]
refs[ids] = in_refs[k]
ids += 1
else:
refs_files = kwargs.pop("refs", "")
hypos_file = kwargs.pop("hypos", "")
refs = {}
for refs_file in refs_files:
with open(refs_file) as fd:
for ids, line in enumerate(fd):
if ids in refs:
refs[ids].extend(line.strip().split("\t"))
else:
refs[ids] = line.strip().split("\t")
with open(hypos_file) as fd:
hypos = fd.readlines()
hypos = {ids: [line.strip()] for ids, line in enumerate(hypos)}
# whether lowercase?
if self.lc:
final_scores = self.score(_lc(refs), _lc(hypos))
else:
final_scores = self.score(refs, hypos)
# output results
for _, metric in self.scorers:
if isinstance(metric, list):
for m in metric:
print("%s: %f" % (m, final_scores[m]))
else:
print("%s: %f" % (metric, final_scores[metric]))
if get_scores:
return final_scores
if __name__ == "__main__":
args = parse_args()
if args.no_BLEU and args.no_METEOR and args.no_ROUGE and args.no_CIDEr:
print("Noting to do, please enable at least one metric!")
exit(0)
bleu = not args.no_BLEU
meteor = not args.no_METEOR
rouge = not args.no_ROUGE
cider = not args.no_CIDEr
obj = Evaluate(bleu=bleu, meteor=meteor,
rouge=rouge, cider=cider,
n=args.ngram, lowercase=args.lowercase)
res = obj.evaluate(hypos=args.hypos, refs=args.refs)