Update Space (evaluate main: c447fc8e)
Browse files- exact_match.py +11 -25
- requirements.txt +1 -1
exact_match.py
CHANGED
@@ -14,8 +14,6 @@
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"""Exact Match metric."""
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import re
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import string
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from dataclasses import dataclass
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from typing import Optional
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import datasets
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import numpy as np
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@@ -85,29 +83,13 @@ _CITATION = """
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"""
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@dataclass
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class ExactMatchConfig(evaluate.info.Config):
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name: str = "default"
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regexes_to_ignore: Optional[str] = None
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ignore_case: bool = False
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ignore_punctuation: bool = False
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ignore_numbers: bool = False
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class
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CONFIG_CLASS = ExactMatchConfig
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ALLOWED_CONFIG_NAMES = ["default"]
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def _info(self, config):
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return evaluate.MetricInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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config=config,
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features=datasets.Features(
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{
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"predictions": datasets.Value("string", id="sequence"),
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@@ -121,26 +103,30 @@ class ExactMatchConfig(evaluate.Metric):
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self,
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predictions,
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references,
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):
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if
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for s in
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predictions = np.array([re.sub(s, "", x) for x in predictions])
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references = np.array([re.sub(s, "", x) for x in references])
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else:
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predictions = np.asarray(predictions)
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references = np.asarray(references)
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if
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predictions = np.char.lower(predictions)
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references = np.char.lower(references)
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if
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repl_table = string.punctuation.maketrans("", "", string.punctuation)
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predictions = np.char.translate(predictions, table=repl_table)
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references = np.char.translate(references, table=repl_table)
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if
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repl_table = string.digits.maketrans("", "", string.digits)
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predictions = np.char.translate(predictions, table=repl_table)
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references = np.char.translate(references, table=repl_table)
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"""Exact Match metric."""
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import re
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import string
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import datasets
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import numpy as np
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"""
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class ExactMatch(evaluate.Metric):
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def _info(self):
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return evaluate.MetricInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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features=datasets.Features(
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{
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"predictions": datasets.Value("string", id="sequence"),
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self,
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predictions,
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references,
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regexes_to_ignore=None,
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ignore_case=False,
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ignore_punctuation=False,
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ignore_numbers=False,
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):
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if regexes_to_ignore is not None:
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for s in regexes_to_ignore:
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predictions = np.array([re.sub(s, "", x) for x in predictions])
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references = np.array([re.sub(s, "", x) for x in references])
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else:
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predictions = np.asarray(predictions)
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references = np.asarray(references)
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if ignore_case:
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predictions = np.char.lower(predictions)
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references = np.char.lower(references)
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if ignore_punctuation:
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repl_table = string.punctuation.maketrans("", "", string.punctuation)
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predictions = np.char.translate(predictions, table=repl_table)
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references = np.char.translate(references, table=repl_table)
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if ignore_numbers:
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repl_table = string.digits.maketrans("", "", string.digits)
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predictions = np.char.translate(predictions, table=repl_table)
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references = np.char.translate(references, table=repl_table)
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requirements.txt
CHANGED
@@ -1 +1 @@
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-
git+https://github.com/huggingface/evaluate@
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git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
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