def _compute_global_stats():
"""
Computes some global statistics for the WMT14 evaluation campaign.
"""
global_stats = []
wmt14 = Group.objects.get(name='WMT14')
users = wmt14.user_set.all()
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False,
completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True,
mturk_only=False,
completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False).count()
# Aggregate information about participating groups.
groups = set()
for user in users:
for group in user.groups.all():
if group.name == 'WMT14' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', users.count()))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', hits_completed))
global_stats.append(('HITs remaining', hits_remaining))
global_stats.append(('Ranking results', ranking_results))
global_stats.append(('System comparisons', 10 * ranking_results))
global_stats.append(('Average duration', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (single user)',
seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
return global_stats
def _compute_global_stats():
"""
Computes some global statistics for the WMT14 evaluation campaign.
"""
global_stats = []
wmt14 = Group.objects.get(name='WMT14')
users = wmt14.user_set.all()
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False, completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True, mturk_only=False, completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False).count()
# Aggregate information about participating groups.
groups = set()
for user in users:
for group in user.groups.all():
if group.name == 'WMT14' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', users.count()))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', hits_completed))
global_stats.append(('HITs remaining', hits_remaining))
global_stats.append(('Ranking results', ranking_results))
global_stats.append(('System comparisons', 10 * ranking_results))
global_stats.append(('Average duration', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (single user)',
seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
return global_stats
def _compute_language_pair_stats():
"""
Computes HIT statistics per language pair.
"""
language_pair_stats = []
# Running compute_remaining_hits() will also update completion status for HITs.
for choice in LANGUAGE_PAIR_CHOICES:
_code = choice[0]
_name = choice[1]
_remaining_hits = HIT.compute_remaining_hits(language_pair=_code)
_completed_hits = HIT.objects.filter(completed=True,
mturk_only=False,
language_pair=_code).count()
_total_hits = _remaining_hits + _completed_hits
_data = (_name, (_remaining_hits,
100 * _remaining_hits / float(_total_hits or 1)),
(_completed_hits,
100 * _completed_hits / float(_total_hits or 1)))
language_pair_stats.append(_data)
return language_pair_stats
def _compute_language_pair_stats():
"""
Computes HIT statistics per language pair.
"""
language_pair_stats = []
# Running compute_remaining_hits() will also update completion status for HITs.
for choice in LANGUAGE_PAIR_CHOICES:
_code = choice[0]
_name = choice[1]
_remaining_hits = HIT.compute_remaining_hits(language_pair=_code)
_completed_hits = HIT.objects.filter(completed=True, mturk_only=False,
language_pair=_code).count()
_total_hits = _remaining_hits + _completed_hits
_data = (
_name,
(_remaining_hits, 100 * _remaining_hits/float(_total_hits or 1)),
(_completed_hits, 100 * _completed_hits/float(_total_hits or 1))
)
language_pair_stats.append(_data)
return language_pair_stats
usage: export_wmt14_status.py
Exports HIT status for all language pairs.
"""
from datetime import datetime
import os
import sys
if __name__ == "__main__":
# Properly set DJANGO_SETTINGS_MODULE environment variable.
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
PROJECT_HOME = os.path.normpath(os.getcwd() + "/..")
sys.path.append(PROJECT_HOME)
# We have just added appraise to the system path list, hence this works.
from appraise.wmt14.models import HIT, LANGUAGE_PAIR_CHOICES
remaining_hits = {}
for language_pair in [x[0] for x in LANGUAGE_PAIR_CHOICES]:
remaining_hits[language_pair] = HIT.compute_remaining_hits(
language_pair=language_pair)
print
print '[{0}]'.format(datetime.now().strftime("%c"))
for k, v in remaining_hits.items():
print '{0}: {1:03d}'.format(k, v)
print
Author: Christian Federmann <*****@*****.**>
usage: export_wmt14_status.py
Exports HIT status for all language pairs.
"""
from datetime import datetime
import os
import sys
if __name__ == "__main__":
# Properly set DJANGO_SETTINGS_MODULE environment variable.
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
PROJECT_HOME = os.path.normpath(os.getcwd() + "/..")
sys.path.append(PROJECT_HOME)
# We have just added appraise to the system path list, hence this works.
from appraise.wmt14.models import HIT, LANGUAGE_PAIR_CHOICES
remaining_hits = {}
for language_pair in [x[0] for x in LANGUAGE_PAIR_CHOICES]:
remaining_hits[language_pair] = HIT.compute_remaining_hits(
language_pair=language_pair)
print
print '[{0}]'.format(datetime.now().strftime("%c"))
for k, v in remaining_hits.items():
print '{0}: {1:03d}'.format(k, v)
print
