Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
Japanese
Size:
10K - 100K
License:
update default config
Browse files
janli.py
CHANGED
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@@ -24,18 +24,47 @@ _DOWNLOAD_URL = "https://raw.githubusercontent.com/verypluming/JaNLI/main/janli.
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class JaNLIDataset(ds.GeneratorBasedBuilder):
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VERSION = ds.Version("1.0.0")
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def _info(self) -> ds.DatasetInfo:
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return ds.DatasetInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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@@ -49,6 +78,15 @@ class JaNLIDataset(ds.GeneratorBasedBuilder):
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df: pd.DataFrame = pd.read_table(data_path, header=0, sep="\t", index_col=0)
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df["id"] = df.index
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return [
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ds.SplitGenerator(
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name=ds.Split.TRAIN,
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class JaNLIDataset(ds.GeneratorBasedBuilder):
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VERSION = ds.Version("1.0.0")
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DEFAULT_CONFIG_NAME = "base"
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BUILDER_CONFIGS = [
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ds.BuilderConfig(
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name="base",
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version=VERSION,
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description="hoge",
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),
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ds.BuilderConfig(
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name="original",
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version=VERSION,
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description="hoge",
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),
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]
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def _info(self) -> ds.DatasetInfo:
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if self.config.name == "base":
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features = ds.Features(
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{
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"id": ds.Value("int64"),
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"premise": ds.Value("string"),
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"hypothesis": ds.Value("string"),
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"label": ds.ClassLabel(names=["entailment", "non-entailment"]),
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"heuristics": ds.Value("string"),
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"number_of_NPs": ds.Value("int32"),
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"semtag": ds.Value("string"),
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}
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)
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elif self.config.name == "original":
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features = ds.Features(
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{
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"id": ds.Value("int64"),
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"sentence_A_Ja": ds.Value("string"),
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"sentence_B_Ja": ds.Value("string"),
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"entailment_label_Ja": ds.ClassLabel(names=["entailment", "non-entailment"]),
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"heuristics": ds.Value("string"),
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"number_of_NPs": ds.Value("int32"),
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"semtag": ds.Value("string"),
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}
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)
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return ds.DatasetInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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df: pd.DataFrame = pd.read_table(data_path, header=0, sep="\t", index_col=0)
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df["id"] = df.index
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if self.config.name == "base":
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df = df.rename(
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columns={
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"sentence_A_Ja": "premise",
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"sentence_B_Ja": "hypothesis",
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"entailment_label_Ja": "label",
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}
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)
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return [
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ds.SplitGenerator(
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name=ds.Split.TRAIN,
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