lvwerra HF staff commited on
Commit
63c7d06
1 Parent(s): 9b085fb

Update Space (evaluate main: c447fc8e)

Browse files
Files changed (2) hide show
  1. requirements.txt +1 -1
  2. xtreme_s.py +7 -20
requirements.txt CHANGED
@@ -1,2 +1,2 @@
1
- git+https://github.com/huggingface/evaluate@e4a2724377909fe2aeb4357e3971e5a569673b39
2
  sklearn
 
1
+ git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
2
  sklearn
xtreme_s.py CHANGED
@@ -13,8 +13,7 @@
13
  # limitations under the License.
14
  """ XTREME-S benchmark metric. """
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- from dataclasses import dataclass
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- from typing import List, Optional
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  import datasets
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  from datasets.config import PY_VERSION
@@ -219,22 +218,11 @@ def wer_and_cer(preds, labels, concatenate_texts, config_name):
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  return {"wer": compute_score(preds, labels, "wer"), "cer": compute_score(preds, labels, "cer")}
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221
 
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- @dataclass
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- class XtremeSConfig(evaluate.info.Config):
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-
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- name: str = "default"
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-
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- bleu_kwargs: Optional[dict] = None
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- wer_kwargs: Optional[dict] = None
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-
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-
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  @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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  class XtremeS(evaluate.Metric):
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-
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- CONFIG_CLASS = XtremeSConfig
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- ALLOWED_CONFIG_NAMES = _CONFIG_NAMES
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-
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- def _info(self, config):
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  pred_type = "int64" if self.config_name in ["fleurs-lang_id", "minds14"] else "string"
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@@ -242,7 +230,6 @@ class XtremeS(evaluate.Metric):
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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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  {"predictions": datasets.Value(pred_type), "references": datasets.Value(pred_type)}
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  ),
@@ -251,10 +238,10 @@ class XtremeS(evaluate.Metric):
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  format="numpy",
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  )
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- def _compute(self, predictions, references):
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- bleu_kwargs = self.config.bleu_kwargs if self.config.bleu_kwargs is not None else {}
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- wer_kwargs = self.config.wer_kwargs if self.config.wer_kwargs is not None else {}
258
 
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  if self.config_name == "fleurs-lang_id":
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  return {"accuracy": simple_accuracy(predictions, references)}
 
13
  # limitations under the License.
14
  """ XTREME-S benchmark metric. """
15
 
16
+ from typing import List
 
17
 
18
  import datasets
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  from datasets.config import PY_VERSION
 
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  return {"wer": compute_score(preds, labels, "wer"), "cer": compute_score(preds, labels, "cer")}
219
 
220
 
 
 
 
 
 
 
 
 
 
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  @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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  class XtremeS(evaluate.Metric):
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+ def _info(self):
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+ if self.config_name not in _CONFIG_NAMES:
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+ raise KeyError(f"You should supply a configuration name selected in {_CONFIG_NAMES}")
 
 
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  pred_type = "int64" if self.config_name in ["fleurs-lang_id", "minds14"] else "string"
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  description=_DESCRIPTION,
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  citation=_CITATION,
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  inputs_description=_KWARGS_DESCRIPTION,
 
233
  features=datasets.Features(
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  {"predictions": datasets.Value(pred_type), "references": datasets.Value(pred_type)}
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  ),
 
238
  format="numpy",
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  )
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+ def _compute(self, predictions, references, bleu_kwargs=None, wer_kwargs=None):
242
 
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+ bleu_kwargs = bleu_kwargs if bleu_kwargs is not None else {}
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+ wer_kwargs = wer_kwargs if wer_kwargs is not None else {}
245
 
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  if self.config_name == "fleurs-lang_id":
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  return {"accuracy": simple_accuracy(predictions, references)}