Spaces:
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Update Space (evaluate main: e4a27243)
Browse files- chrf.py +29 -13
- requirements.txt +1 -1
chrf.py
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@@ -12,6 +12,8 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Chrf(++) metric as available in sacrebleu. """
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import datasets
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import sacrebleu as scb
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from packaging import version
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"""
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class ChrF(evaluate.Metric):
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if version.parse(scb.__version__) < version.parse("1.4.12"):
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raise ImportWarning(
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"To use `sacrebleu`, the module `sacrebleu>=1.4.12` is required, and the current version of `sacrebleu` doesn't match this condition.\n"
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@@ -136,6 +154,7 @@ class ChrF(evaluate.Metric):
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citation=_CITATION,
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homepage="https://github.com/mjpost/sacreBLEU#chrf--chrf",
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inputs_description=_KWARGS_DESCRIPTION,
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features=[
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datasets.Features(
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{
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@@ -156,17 +175,7 @@ class ChrF(evaluate.Metric):
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],
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)
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def _compute(
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self,
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predictions,
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references,
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char_order: int = CHRF.CHAR_ORDER,
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word_order: int = CHRF.WORD_ORDER,
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beta: int = CHRF.BETA,
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lowercase: bool = False,
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whitespace: bool = False,
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eps_smoothing: bool = False,
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):
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# if only one reference is provided make sure we still use list of lists
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if isinstance(references[0], str):
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references = [[ref] for ref in references]
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@@ -177,7 +186,14 @@ class ChrF(evaluate.Metric):
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)
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transformed_references = [[refs[i] for refs in references] for i in range(references_per_prediction)]
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sb_chrf = CHRF(
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output = sb_chrf.corpus_score(predictions, transformed_references)
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return {
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Chrf(++) metric as available in sacrebleu. """
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from dataclasses import dataclass
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import datasets
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import sacrebleu as scb
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from packaging import version
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"""
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@dataclass
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class ChrFConfig(evaluate.info.Config):
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name: str = "default"
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char_order: int = CHRF.CHAR_ORDER
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word_order: int = CHRF.WORD_ORDER
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beta: int = CHRF.BETA
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lowercase: bool = False
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whitespace: bool = False
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eps_smoothing: bool = False
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class ChrF(evaluate.Metric):
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CONFIG_CLASS = ChrFConfig
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ALLOWED_CONFIG_NAMES = ["default"]
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def _info(self, config):
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if version.parse(scb.__version__) < version.parse("1.4.12"):
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raise ImportWarning(
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"To use `sacrebleu`, the module `sacrebleu>=1.4.12` is required, and the current version of `sacrebleu` doesn't match this condition.\n"
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citation=_CITATION,
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homepage="https://github.com/mjpost/sacreBLEU#chrf--chrf",
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inputs_description=_KWARGS_DESCRIPTION,
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config=config,
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features=[
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datasets.Features(
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{
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],
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)
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def _compute(self, predictions, references):
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# if only one reference is provided make sure we still use list of lists
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if isinstance(references[0], str):
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references = [[ref] for ref in references]
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)
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transformed_references = [[refs[i] for refs in references] for i in range(references_per_prediction)]
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sb_chrf = CHRF(
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self.config.char_order,
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self.config.word_order,
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self.config.beta,
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self.config.lowercase,
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self.config.whitespace,
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self.config.eps_smoothing,
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)
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output = sb_chrf.corpus_score(predictions, transformed_references)
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return {
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requirements.txt
CHANGED
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@@ -1,2 +1,2 @@
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-
git+https://github.com/huggingface/evaluate@
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sacrebleu
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git+https://github.com/huggingface/evaluate@e4a2724377909fe2aeb4357e3971e5a569673b39
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sacrebleu
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