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Marcin Wątroba
asr-benchmarks
Commits
06fa7509
Commit
06fa7509
authored
2 years ago
by
Marcin Wątroba
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call_experiment_stats.py
+53
-1
53 additions, 1 deletion
call_experiment_stats.py
with
53 additions
and
1 deletion
call_experiment_stats.py
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1
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06fa7509
from
new_experiment.new_dependency_provider
import
get_experiment_repository
from
new_experiment.utils.get_spacy_model_name
import
get_spacy_model_name
from
new_experiment.utils.property_helper
import
PropertyHelper
def
get_stats_for
(
dataset_name
:
str
,
property_name
:
str
)
->
float
:
repo
=
get_experiment_repository
(
dataset_name
)
vals
=
[
repo
.
get_property_for_key
(
it
,
property_name
)
for
it
in
repo
.
get_all_record_ids_for_property
(
property_name
)]
print
(
vals
)
vals
=
[
it
for
it
in
vals
if
isinstance
(
it
,
float
)]
ret
=
0.0
if
len
(
vals
)
==
0
:
...
...
@@ -12,6 +13,7 @@ def get_stats_for(dataset_name: str, property_name: str) -> float:
else
:
ret
=
sum
(
vals
)
/
len
(
vals
)
print
(
dataset_name
,
property_name
,
ret
)
return
ret
def
get_stats_for_classic_wer
(
dataset_name
:
str
,
property_name
:
str
)
->
float
:
...
...
@@ -19,6 +21,12 @@ def get_stats_for_classic_wer(dataset_name: str, property_name: str) -> float:
vals
=
[
repo
.
get_property_for_key
(
it
,
property_name
)
for
it
in
repo
.
get_all_record_ids_for_property
(
property_name
)]
vals
=
[
it
[
'
classic_wer
'
]
for
it
in
vals
if
'
classic_wer
'
in
it
]
vals
=
[
it
for
it
in
vals
if
isinstance
(
it
,
float
)]
ret
=
0.0
if
len
(
vals
)
==
0
:
ret
=
-
1
else
:
ret
=
sum
(
vals
)
/
len
(
vals
)
print
(
dataset_name
,
property_name
,
ret
)
return
sum
(
vals
)
/
len
(
vals
)
...
...
@@ -27,6 +35,12 @@ def get_stats_for_soft_wer(dataset_name: str, property_name: str) -> float:
vals
=
[
repo
.
get_property_for_key
(
it
,
property_name
)
for
it
in
repo
.
get_all_record_ids_for_property
(
property_name
)]
vals
=
[
it
[
'
soft_wer
'
]
for
it
in
vals
if
'
soft_wer
'
in
it
]
vals
=
[
it
for
it
in
vals
if
isinstance
(
it
,
float
)]
ret
=
0.0
if
len
(
vals
)
==
0
:
ret
=
-
1
else
:
ret
=
sum
(
vals
)
/
len
(
vals
)
print
(
dataset_name
,
property_name
,
ret
)
return
sum
(
vals
)
/
len
(
vals
)
...
...
@@ -36,3 +50,41 @@ def get_stats_for_embedding_wer(dataset_name: str, property_name: str) -> float:
vals
=
[
it
[
'
embedding_wer
'
]
for
it
in
vals
if
'
embedding_wer
'
in
it
]
vals
=
[
it
for
it
in
vals
if
isinstance
(
it
,
float
)]
return
sum
(
vals
)
/
len
(
vals
)
if
__name__
==
'
__main__
'
:
COMMANDS
=
[
'
run_word_wer_classic_pipeline
'
,
'
run_word_wer_embedding_pipeline
'
,
'
run_spacy_dep_tag_wer_pipeline
'
,
'
run_spacy_ner_wer_pipeline
'
,
'
run_spacy_pos_wer_pipeline
'
]
LANGUAGES
=
[
'
nl
'
,
'
fr
'
,
'
de
'
,
'
it
'
,
'
pl
'
,
'
es
'
,
'
en
'
]
WHISPER_ASR_MODEL
=
[
'
tiny
'
,
'
base
'
,
'
small
'
,
'
medium
'
,
'
large-v2
'
]
DATASETS
=
[
'
google_fleurs
'
,
'
minds14
'
,
'
voxpopuli
'
]
FULL_DATASET_NAMES
=
[]
for
itt
in
LANGUAGES
:
for
it
in
DATASETS
:
FULL_DATASET_NAMES
.
append
(
f
'
{
itt
}
_
{
it
}
'
)
FULL_LANGUAGE_MODELS
=
[
f
'
whisper_
{
it
}
'
for
it
in
WHISPER_ASR_MODEL
]
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for
(
dataset
,
PropertyHelper
.
ner_metrics
(
model
,
get_spacy_model_name
(
dataset
[:
2
])))
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for
(
dataset
,
PropertyHelper
.
pos_metrics
(
model
,
get_spacy_model_name
(
dataset
[:
2
])))
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for
(
dataset
,
PropertyHelper
.
dep_tag_metrics
(
model
,
get_spacy_model_name
(
dataset
[:
2
])))
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for_classic_wer
(
dataset
,
PropertyHelper
.
word_wer_classic_metrics
(
model
))
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for_soft_wer
(
dataset
,
PropertyHelper
.
word_wer_embeddings_metrics
(
model
))
for
dataset
in
FULL_DATASET_NAMES
:
for
model
in
FULL_LANGUAGE_MODELS
:
get_stats_for_embedding_wer
(
dataset
,
PropertyHelper
.
word_wer_embeddings_metrics
(
model
))
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