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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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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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} |