Upload metric.py with huggingface_hub
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metric.py
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from .artifact import __file__ as _
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from .blocks import __file__ as _
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from .card import __file__ as _
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@@ -8,54 +12,42 @@ from .catalog import __file__ as _
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from .collections import __file__ as _
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from .common import __file__ as _
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from .file_utils import __file__ as _
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# from .fusion import __file__
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from .generator_utils import __file__ as _
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from .instructions import __file__ as _
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from .loaders import __file__ as _
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from .load import __file__ as _
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from .metrics import __file__ as _
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from .normalizers import __file__ as _
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from .operator import __file__ as _
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from .operators import __file__ as _
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from .processors import __file__ as _
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from .recipe import __file__ as _
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from .register import __file__ as _
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from .
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from .split_utils import __file__ as _
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from .stream import __file__ as _
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from .task import __file__ as _
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from .templates import __file__ as _
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from .text_utils import __file__ as _
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from .
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# from .utilize import __file__ as _
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# from .validate import __file__ as _
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#############
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from .stream import MultiStream, Stream
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from .operator import SequntialOperator, SequntialOperatorInitilizer, MultiStreamOperator, StreamInitializerOperator
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from .operators import (
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ApplyValueOperatorsField,
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ApplyStreamOperatorsField,
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SplitByValue,
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MergeStreams,
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FlattenInstances,
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)
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import evaluate
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import datasets
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from datasets import (
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Features,
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Value,
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Sequence,
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)
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from dataclasses import field
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from typing import List, Union, Dict, Optional, Generator, Any, Iterable
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class MultiStreamScoreMean(MultiStreamOperator):
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@@ -100,6 +92,7 @@ from .schema import UNITXT_DATASET_SCHEMA
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class MetricRecipe(SequntialOperatorInitilizer):
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def prepare(self):
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self.steps = [
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FromPredictionsAndOriginalData(),
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ApplyValueOperatorsField(
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from dataclasses import field
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from typing import Any, Dict, Generator, Iterable, List, Optional, Union
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import datasets
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import evaluate
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from datasets import Features, Sequence, Value
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from .artifact import __file__ as _
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from .blocks import __file__ as _
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from .card import __file__ as _
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from .collections import __file__ as _
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from .common import __file__ as _
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from .file_utils import __file__ as _
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from .fusion import __file__ as _
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from .generator_utils import __file__ as _
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from .instructions import __file__ as _
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from .load import __file__ as _
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from .loaders import __file__ as _
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from .metrics import __file__ as _
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from .normalizers import __file__ as _
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from .operator import (
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MultiStreamOperator,
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SequntialOperator,
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SequntialOperatorInitilizer,
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StreamInitializerOperator,
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)
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from .operator import __file__ as _
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from .operators import (
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ApplyStreamOperatorsField,
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ApplyValueOperatorsField,
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FlattenInstances,
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MergeStreams,
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SplitByValue,
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)
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from .operators import __file__ as _
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from .processors import __file__ as _
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from .recipe import __file__ as _
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from .register import __file__ as _
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from .register import register_all_artifacts
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from .schema import __file__ as _
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from .split_utils import __file__ as _
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from .splitters import __file__ as _
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from .stream import MultiStream, Stream
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from .stream import __file__ as _
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from .task import __file__ as _
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from .templates import __file__ as _
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from .text_utils import __file__ as _
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from .utils import __file__ as _
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from .validate import __file__ as _
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class MultiStreamScoreMean(MultiStreamOperator):
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class MetricRecipe(SequntialOperatorInitilizer):
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def prepare(self):
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register_all_artifacts()
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self.steps = [
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FromPredictionsAndOriginalData(),
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ApplyValueOperatorsField(
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