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ontonotes_v4.py
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ontonotes_v4.py
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"""Dataset loading script for OntoNotes v4.0 sparated by tab."""
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = "OntoNotes 4.0"
class Ontonotes4Config(datasets.BuilderConfig):
"""BuilderConfig for OntoNotes 4.0"""
def __init__(self, **kwargs):
"""BuilderConfig for OntoNotes 4.0.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(Ontonotes4Config, self).__init__(**kwargs)
class Ontonotes4(datasets.GeneratorBasedBuilder):
"""OntoNotes 4.0."""
BUILDER_CONFIGS = [
Ontonotes4Config(name='ontonotes4', description="OntoNotes 4.0 dataset.")
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"tokens": datasets.Sequence(datasets.Value("string")),
"pos_tags": datasets.Sequence(
datasets.features.ClassLabel(
names=[
"$",
"''",
",",
"-LRB-",
"-RRB-",
".",
":",
"ADD",
"AFX",
"CC",
"CD",
"DT",
"EX",
"FW",
"HYPH",
"IN",
"JJ",
"JJR",
"JJS",
"LS",
"MD",
"NFP",
"NN",
"NNP",
"NNPS",
"NNS",
"PDT",
"POS",
"PRP",
"PRP$",
"RB",
"RBR",
"RBS",
"RP",
"SYM",
"TO",
"UH",
"VB",
"VBD",
"VBG",
"VBN",
"VBP",
"VBZ",
"WDT",
"WP",
"WP$",
"WRB",
"XX",
"``"
]
)
)
}
)
)
def _split_generators(self, dl_manager):
train_file = "./data/sample.train"
dev_file = "./data/sample.dev"
test_file ="./data/sample.test"
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_file}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dev_file}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_file}),
]
def _generate_examples(self, filepath):
logger.info("⏳ Generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
guid = 0
tokens = list()
pos_tags=list()
for line in f:
if line.startswith("*") or line == "" or line == "\n":
if tokens:
yield guid, {
"id": str(guid),
"tokens": tokens,
"pos_tags": pos_tags,
}
guid += 1
tokens=list()
pos_tags=list()
else:
# line is tab separated
splits = line.split('\t')
tokens.append(splits[1])
pos_tags.append(splits[2].rstrip())
# yield last example
yield guid, {
"id": str(guid),
"tokens": tokens,
"pos_tags": pos_tags,
}
if __name__ == "__main__":
Ontonotes4(__name__)