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"""ReRelEM dataset"""
import datasets
import pandas as pd
_CITATION = """
"""
_DESCRIPTION = """
"""
_URLS = {
"train": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_train.csv",
"validation": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_val.csv",
"test": "https://raw.githubusercontent.com/ruanchaves/rerelem/9de7c418879b010a8ca9940639cac900bd27d9fd/rerelem_test.csv"
}
class ReRelEm(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"docid": datasets.Value("string"),
"sentence1": datasets.Value("string"),
"sentence2": datasets.Value("string"),
"label": datasets.Value("string"),
"same_text": datasets.Value("bool"),
}),
supervised_keys=None,
homepage="",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
downloaded_files = dl_manager.download(_URLS)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": downloaded_files["train"]
}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": downloaded_files["validation"]
}
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": downloaded_files["test"]
}
)
]
def _generate_examples(self, filepath):
records = pd.read_csv(filepath).to_dict("records")
for idx, row in enumerate(records):
yield idx, row |