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der2933
Amazon KDD Cup 2024 Starter Kit
Commits
3fd2dac2
Commit
3fd2dac2
authored
1 year ago
by
yilun_jin
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Update parsers.py
parent
87800b48
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parsers.py
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41 additions, 8 deletions
parsers.py
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8 deletions
parsers.py
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41
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8
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3fd2dac2
...
@@ -80,8 +80,11 @@ class ShoppingBenchTaskParsers:
...
@@ -80,8 +80,11 @@ class ShoppingBenchTaskParsers:
An integer representing the selected option. Returns -1 if the parsing fails due to
An integer representing the selected option. Returns -1 if the parsing fails due to
an invalid response format.
an invalid response format.
"""
"""
response
=
response
.
strip
()
if
response
==
''
:
return
-
1
try
:
try
:
return
int
(
response
.
strip
()
[
0
])
return
int
(
response
[
0
])
except
ValueError
:
except
ValueError
:
return
-
1
return
-
1
...
@@ -108,7 +111,10 @@ class ShoppingBenchTaskParsers:
...
@@ -108,7 +111,10 @@ class ShoppingBenchTaskParsers:
for
item
in
cleaned_response
.
split
(
"
,
"
):
for
item
in
cleaned_response
.
split
(
"
,
"
):
try
:
try
:
# Attempt to convert each item to an integer and add it to the list.
# Attempt to convert each item to an integer and add it to the list.
ranked_items
.
append
(
int
(
item
))
int_item
=
int
(
item
)
if
int_item
>
5
:
continue
ranked_items
.
append
(
int_item
)
except
ValueError
:
except
ValueError
:
pass
# Skip non-numeric items.
pass
# Skip non-numeric items.
...
@@ -191,12 +197,13 @@ class ShoppingBenchTaskParsers:
...
@@ -191,12 +197,13 @@ class ShoppingBenchTaskParsers:
)
)
except
(
SyntaxError
,
ValueError
):
except
(
SyntaxError
,
ValueError
):
# Fallback: split the string by commas and strip whitespace.
# Fallback: split the string by commas and strip whitespace.
return
[
entity
.
strip
()
for
entity
in
response
.
split
(
"
,
"
)]
# we remove empty entities. it will not cause bug, just an implementation choice.
return
[
entity
.
strip
()
for
entity
in
response
.
split
(
"
,
"
)
if
entity
.
strip
()
!=
''
]
if
__name__
==
"
__main__
"
:
if
__name__
==
"
__main__
"
:
# Example usage of the ShoppingBenchTaskParsers class for various task types.
# Example usage of the ShoppingBenchTaskParsers class for various task types.
# MULTICHOICE EXAMPLE
# MULTICHOICE EXAMPLE
multic_choice_parser
=
ShoppingBenchTaskParsers
(
"
multichoice
"
)
multic_choice_parser
=
ShoppingBenchTaskParsers
(
"
multichoice
"
)
print
(
"
Multichoice Example:
"
)
print
(
"
Multichoice Example:
"
)
...
@@ -204,8 +211,15 @@ if __name__ == "__main__":
...
@@ -204,8 +211,15 @@ if __name__ == "__main__":
print
(
print
(
multic_choice_parser
.
parse
(
"
a
"
)
multic_choice_parser
.
parse
(
"
a
"
)
)
# Expected output (failure case): -1
)
# Expected output (failure case): -1
print
(
multic_choice_parser
.
parse
(
'
\n
'
))
# Should be -1
print
(
multic_choice_parser
.
parse
(
'
'
))
# Should also be -1
print
(
multic_choice_parser
.
parse
(
'
2
'
))
# Should be 2
print
(
multic_choice_parser
.
parse
(
'
\n
1
'
))
# Should be 1
print
(
multic_choice_parser
.
parse
(
'
\n
3
'
))
# Should be 3
print
(
multic_choice_parser
.
parse
(
'
\n
'
))
# Should be -1
print
()
print
()
# MULTI CHOICE EXAMPLE TEST COMPLETE
# RANKING EXAMPLE
# RANKING EXAMPLE
ranking_parser
=
ShoppingBenchTaskParsers
(
"
ranking
"
)
ranking_parser
=
ShoppingBenchTaskParsers
(
"
ranking
"
)
print
(
"
Ranking Example:
"
)
print
(
"
Ranking Example:
"
)
...
@@ -221,17 +235,28 @@ if __name__ == "__main__":
...
@@ -221,17 +235,28 @@ if __name__ == "__main__":
print
(
print
(
ranking_parser
.
parse
(
"
1, 4, 5, aicrowd, 6
"
)
ranking_parser
.
parse
(
"
1, 4, 5, aicrowd, 6
"
)
)
# Expected output: [1, 4, 5, 6] # remove alphanumeric chars
)
# Expected output: [1, 4, 5, 6] # remove alphanumeric chars
print
(
ranking_parser
.
parse
(
'
\n
'
))
# Should be empty list
print
(
ranking_parser
.
parse
(
'
\n
'
))
print
(
ranking_parser
.
parse
(
'
The answer is: 1, 2, 3, 4, 5
'
))
# Should be 1, 2, 3, 4, 5
print
(
ranking_parser
.
parse
(
'
,1,2,3,4,5
'
))
# Should be 1, 2, 3, 4, 5
print
(
ranking_parser
.
parse
(
'
1 2
'
))
# Should be empty list
print
()
print
()
# RANKING TEST COMPLETE
# GENERATION EXAMPLE
# GENERATION EXAMPLE
generation_parser
=
ShoppingBenchTaskParsers
(
"
generation
"
)
generation_parser
=
ShoppingBenchTaskParsers
(
"
generation
"
)
print
(
"
Generation Example:
"
)
print
(
"
Generation Example:
"
)
print
(
print
(
generation_parser
.
parse
(
"
This is a generated response
"
)
generation_parser
.
parse
(
"
This is a generated response
"
)
)
# Expected output: 'This is a generated response.'
)
# Expected output: 'This is a generated response.'
print
(
generation_parser
.
parse
(
"
\n
The answer is
\n\n
good.
\n\n\n\n\n\n\n
"
))
# Expected: The answer is \n\n good.
print
(
generation_parser
.
parse
(
'
\n
\n
'
))
# Should be nothing.
print
()
print
()
# GENERATION TEST COMPLETE
# RETRIEVAL EXAMPLE
# RETRIEVAL EXAMPLE
retrieval_parser
=
ShoppingBenchTaskParsers
(
"
retrieval
"
)
retrieval_parser
=
ShoppingBenchTaskParsers
(
"
retrieval
"
)
print
(
"
Retrieval Example:
"
)
print
(
"
Retrieval Example:
"
)
...
@@ -244,12 +269,16 @@ if __name__ == "__main__":
...
@@ -244,12 +269,16 @@ if __name__ == "__main__":
print
(
print
(
retrieval_parser
.
parse
(
"
100, 200, jjhg
"
)
retrieval_parser
.
parse
(
"
100, 200, jjhg
"
)
)
# Expected output (removed alphhanumeric chars): [100, 200]
)
# Expected output (removed alphhanumeric chars): [100, 200]
print
(
retrieval_parser
.
parse
(
'
100, 200,
\n\n\n
300
'
))
# Expected: [100, 200, 300]
print
(
print
(
retrieval_parser
.
parse
(
"
100, 200, 300, 400
"
)
retrieval_parser
.
parse
(
"
100, 200, 300, 400
"
)
)
# Expected output (only consider first 3 elems): [100, 200, 300]
)
# Expected output (only consider first 3 elems): [100, 200, 300]
print
(
retrieval_parser
.
parse
(
'
\n
100, 200, 300
'
))
# Should be 100, 200, 300
print
(
retrieval_parser
.
parse
(
'
\n
\n
\n
'
))
# Should be empty list
print
()
print
()
print
()
# RETRIEVAL TEST COMPLETE
# NAMED ENTITY RECOGNITION EXAMPLE
# NAMED ENTITY RECOGNITION EXAMPLE
ner_parser
=
ShoppingBenchTaskParsers
(
"
named_entity_recognition
"
)
ner_parser
=
ShoppingBenchTaskParsers
(
"
named_entity_recognition
"
)
print
(
"
Named Entity Recognition Example:
"
)
print
(
"
Named Entity Recognition Example:
"
)
...
@@ -264,3 +293,7 @@ if __name__ == "__main__":
...
@@ -264,3 +293,7 @@ if __name__ == "__main__":
)
# failure case - not tolerant to [ if quotes not used
)
# failure case - not tolerant to [ if quotes not used
# - extra '[' characters added to boundary elems]): ['[New York', 'ShopBench', 'Amazon]']
# - extra '[' characters added to boundary elems]): ['[New York', 'ShopBench', 'Amazon]']
# Expected output: ['[New York', 'ShopBench', 'Amazon]']
# Expected output: ['[New York', 'ShopBench', 'Amazon]']
print
(
ner_parser
.
parse
(
'
\n
, New York, ShopBench
'
))
# Should be ['New York', 'ShopBench']
print
(
ner_parser
.
parse
(
'
'
))
# Should be []
print
(
ner_parser
.
parse
(
'
\n
\n
'
))
# Should be []
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