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import csv
import datasets
_DESCRIPTION = """\
Multilingual Simple Variations on Arithmetic Math word Problems (MSVAMP).
The same 1000 problems from [MSVAMP](https://arxiv.org/pdf/2310.20246) are each translated via human annotators in Italian.
You can find the input and targets in Italian and English as `.csv` files.
"""
_HOMEPAGE = "https://github.com/lranaldii/italian_arithmetic_reasoning"
_LICENSE = "CC BY SA 4.0"
_BASE_URL = "msvamp_{lang}.tsv"
_LANG = ["en", "it"]
class MSVAMP(datasets.GeneratorBasedBuilder):
"""MSVAMP"""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=lang,
description=f"MSVAMP {lang} set",
version=datasets.Version("1.0.0"),
)
for lang in _LANG
]
def _info(self):
features = datasets.Features(
{
"question": datasets.Value("string"),
"answer_number": datasets.Value("int32"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
name = self.config.name
filepaths = dl_manager.download_and_extract(
{
datasets.Split.TEST: _BASE_URL.format(lang=name),
}
)
return [
datasets.SplitGenerator(
name=split,
gen_kwargs={"filepath": path},
)
for split, path in filepaths.items()
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as csv_file:
csv_reader = csv.reader(
csv_file,
delimiter=",",
)
for key, row in enumerate(csv_reader):
yield key, {
"question": row[0],
"answer_number": int(row[1]),
}
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