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148 | """All Italian dataset configurations used in EuroEval."""
from ..data_models import DatasetConfig
from ..languages import IT
from ..tasks import COMMON_SENSE, EUROPEAN_VALUES, KNOW, LA, MCRC, NER, RC, SENT, SUMM
### Official datasets ###
SENTIPOLC_CONFIG = DatasetConfig(
name="sentipolc16",
pretty_name="the truncated version of the Italian sentiment classification "
"dataset Sentipolc-16",
huggingface_id="EuroEval/sentipolc16-mini",
task=SENT,
languages=[IT],
)
SCALA_IT_CONFIG = DatasetConfig(
name="scala-it",
pretty_name="the Italian part of the linguistic acceptability dataset ScaLA",
huggingface_id="EuroEval/scala-it",
task=LA,
languages=[IT],
)
MULTINERD_IT_CONFIG = DatasetConfig(
name="multinerd-it",
pretty_name="the truncated version of the Italian part of the named "
"entity recognition dataset MultiNERD",
huggingface_id="EuroEval/multinerd-mini-it",
task=NER,
languages=[IT],
)
SQUAD_IT_CONFIG = DatasetConfig(
name="squad-it",
pretty_name="the truncated version of the Italian reading comprehension dataset "
"SQuAD-it, translated from the English SQuAD dataset",
huggingface_id="EuroEval/squad-it-mini",
task=RC,
languages=[IT],
)
ILPOST_SUM_CONFIG = DatasetConfig(
name="ilpost-sum",
pretty_name="the truncated version of the Italian summarisation dataset IlPost-Sum",
huggingface_id="EuroEval/ilpost-sum",
task=SUMM,
languages=[IT],
)
MMLU_IT_CONFIG = DatasetConfig(
name="mmlu-it",
pretty_name="the truncated version of the Italian knowledge dataset MMLU-it, "
"translated from the English MMLU dataset",
huggingface_id="EuroEval/mmlu-it-mini",
task=KNOW,
languages=[IT],
)
HELLASWAG_IT_CONFIG = DatasetConfig(
name="hellaswag-it",
pretty_name="the truncated version of the Italian common-sense reasoning dataset "
"HellaSwag-it, translated from the English HellaSwag dataset",
huggingface_id="EuroEval/hellaswag-it-mini",
task=COMMON_SENSE,
languages=[IT],
)
EUROPEAN_VALUES_IT_CONFIG = DatasetConfig(
name="european-values-it",
pretty_name="the Italian version of the European values evaluation dataset",
huggingface_id="EuroEval/european-values-it",
task=EUROPEAN_VALUES,
languages=[IT],
splits=["test"],
bootstrap_samples=False,
_instruction_prompt="{text}",
)
### Unofficial datasets ###
WIKINEURAL_IT_CONFIG = DatasetConfig(
name="wikineural-it",
pretty_name="the truncated version of the Italian named "
"entity recognition dataset WikiNEuRal IT",
huggingface_id="EuroEval/wikineural-mini-it",
task=NER,
languages=[IT],
unofficial=True,
)
BELEBELE_IT_CONFIG = DatasetConfig(
name="belebele-it",
pretty_name="the Italian multiple choice reading comprehension dataset "
"BeleBele-it, translated from the English BeleBele dataset",
huggingface_id="EuroEval/belebele-it-mini",
task=MCRC,
languages=[IT],
unofficial=True,
)
MULTI_WIKI_QA_IT_CONFIG = DatasetConfig(
name="multi-wiki-qa-it",
pretty_name="the truncated version of the Italian part of the reading "
"comprehension dataset MultiWikiQA",
huggingface_id="EuroEval/multi-wiki-qa-it-mini",
task=RC,
languages=[IT],
unofficial=True,
)
GOLDENSWAG_IT_CONFIG = DatasetConfig(
name="goldenswag-it",
pretty_name="the truncated version of the Italian common-sense reasoning "
"dataset GoldenSwag-it, translated from the English GoldenSwag dataset",
huggingface_id="EuroEval/goldenswag-it-mini",
task=COMMON_SENSE,
languages=[IT],
unofficial=True,
)
EUROPEAN_VALUES_SITUATIONAL_IT_CONFIG = DatasetConfig(
name="european-values-situational-it",
pretty_name="the Italian version of the European values evaluation dataset, "
"where the questions are phrased in a situational way",
huggingface_id="EuroEval/european-values-situational-it",
task=EUROPEAN_VALUES,
languages=[IT],
splits=["test"],
bootstrap_samples=False,
_instruction_prompt="{text}",
unofficial=True,
)
EUROPEAN_VALUES_COMPLETIONS_IT_CONFIG = DatasetConfig(
name="european-values-completions-it",
pretty_name="the Italian version of the European values evaluation dataset, where "
"the questions are phrased as sentence completions",
huggingface_id="EuroEval/european-values-completions-it",
task=EUROPEAN_VALUES,
languages=[IT],
splits=["test"],
bootstrap_samples=False,
_instruction_prompt="{text}",
unofficial=True,
)
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