Commit
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7fd7df1
1
Parent(s):
04e363c
Add data loader
Browse files- dutch-snli.py +62 -0
dutch-snli.py
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import csv
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import os
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import datasets
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_DESCRIPTION = """\
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This is the Dutch version of the original SNLI dataset. The translation was performed using Google Translate. Original SNLI available at https://nlp.stanford.edu/projects/snli/
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"""
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class DutchSnli(datasets.GeneratorBasedBuilder):
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"""The Dutch-translated Stanford Natural Language Inference (SNLI) Corpus."""
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="plain_text",
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version=datasets.Version("1.0.0", ""),
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description="Plain text import of SNLI",
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"premise": datasets.Value("string"),
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"hypothesis": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=["entailment", "neutral", "contradiction"]),
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}
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),
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# No default supervised_keys (as we have to pass both premise
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# and hypothesis as input).
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supervised_keys=None,
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homepage="",
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citation="",
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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data_dir = dl_manager._base_path
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.tsv")}
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),
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.tsv")}
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),
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]
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def _generate_examples(self, filepath):
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"""This function returns the examples in the raw (text) form."""
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with open(filepath, encoding="utf-8") as f:
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reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
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for idx, row in enumerate(reader):
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if row["label"] != '-':
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yield idx, {
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"premise": row["premise"],
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"hypothesis": row["hypothesis"],
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"label": row["label"],
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}
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