Datasets:
Size:
10K - 100K
License:
update config
Browse files
jsick.py
CHANGED
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@@ -50,6 +50,11 @@ class JSICKDataset(ds.GeneratorBasedBuilder):
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version=VERSION,
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description="fuga",
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),
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]
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def _info(self) -> ds.DatasetInfo:
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@@ -96,6 +101,22 @@ class JSICKDataset(ds.GeneratorBasedBuilder):
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)
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elif self.config.name == "stress":
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features = ds.Features(
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{
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"pair_ID": ds.Value("string"),
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@@ -123,7 +144,7 @@ class JSICKDataset(ds.GeneratorBasedBuilder):
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data_path = dl_manager.download_and_extract(_URLS[self.config.name])
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df: pd.DataFrame = pd.read_table(data_path, sep="\t", header=0)
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-
if self.config.name
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df = df.rename(
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columns={
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"pair_ID": "id",
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version=VERSION,
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description="fuga",
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),
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ds.BuilderConfig(
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name="stress_original",
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version=VERSION,
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description="fuga",
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),
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]
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def _info(self) -> ds.DatasetInfo:
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)
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elif self.config.name == "stress":
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features = ds.Features(
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{
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"id": ds.Value("string"),
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"premise": ds.Value("string"),
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"hypothesis": ds.Value("string"),
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"label": labels,
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"score": ds.Value("float32"),
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"sentence_A_Ja_origin": ds.Value("string"),
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"entailment_label_origin": labels,
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"relatedness_score_Ja_origin": ds.Value("float32"),
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"rephrase_type": ds.Value("string"),
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"case_particles": ds.Value("string"),
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}
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)
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elif self.config.name == "stress_original":
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features = ds.Features(
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{
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"pair_ID": ds.Value("string"),
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data_path = dl_manager.download_and_extract(_URLS[self.config.name])
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df: pd.DataFrame = pd.read_table(data_path, sep="\t", header=0)
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if self.config.name in ["base", "stress"]:
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df = df.rename(
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columns={
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"pair_ID": "id",
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