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# coding=utf-8
# Lint as: python3
import os
import itertools
import datasets
logger = datasets.logging.get_logger(__name__)
class ConllConfig(datasets.BuilderConfig):
"""BuilderConfig for Conll"""
def __init__(
self,
data_files=None,
separator: str = " ", # conll2003 tokens are space separated
tag_index: int = -1, # conll2003 ner tags are in the last item of each row
**kwargs
):
"""BuilderConfig forConll.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(ConllConfig, self).__init__(**kwargs)
self.data_files = data_files
self.separator = separator
self.tag_index = tag_index
class Conll(datasets.GeneratorBasedBuilder):
"""Conll dataset."""
BUILDER_CONFIGS = [
ConllConfig(name="conll", version=datasets.Version("1.0.0"), description="Conll dataset"),
]
DEFAULT_CONFIG_NAME = "conll"
def _info(self):
return datasets.DatasetInfo(
description="Conll dataset",
features=datasets.Features(
{
"id": datasets.Value("string"),
"tokens": datasets.Sequence(datasets.Value("string")),
"ner_tags": datasets.Sequence(datasets.Value("string")),
}
),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
if not self.config.data_files:
raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}")
data_files = dl_manager.download_and_extract(self.config.data_files)
if isinstance(data_files, (str, list, tuple)):
files = data_files
if isinstance(files, str):
files = [files]
files = [dl_manager.iter_files(file) for file in files]
return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": files})]
splits = []
for split_name, files in data_files.items():
if isinstance(files, str):
files = [files]
files = [dl_manager.iter_files(file) for file in files]
splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files}))
return splits
def _generate_examples(self, files):
for file_idx, filepath in enumerate(itertools.chain.from_iterable(files)):
logger.info("⏳ Generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
guid = 0
tokens = []
ner_tags = []
for line in f:
if line.startswith("-DOCSTART-") or line == "" or line == "\n":
if tokens:
yield guid, {
"id": str(guid),
"tokens": tokens,
"ner_tags": ner_tags,
}
guid += 1
tokens = []
ner_tags = []
else:
splits = line.split(self.config.separator)
tokens.append(splits[0])
ner_tags.append(splits[self.config.tag_index].strip())
# last example
if tokens:
yield guid, {
"id": str(guid),
"tokens": tokens,
"ner_tags": ner_tags,
}
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