conll2003 / conll2003.py
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""" NER dataset compiled by T-NER library https://github.com/asahi417/tner/tree/master/tner """
import json
from itertools import chain
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """[CoNLL 2003 NER dataset](https://aclanthology.org/W03-0419/)"""
_NAME = "conll2003"
_HOME_PAGE = "https://github.com/asahi417/tner"
_URL = 'https://huggingface.co/datasets/tner/conll2003/raw/main/dataset'
_URLS = {
str(datasets.Split.TEST): [f'{_URL}/test.json'],
str(datasets.Split.TRAIN): [f'{_URL}/train.json'],
str(datasets.Split.VALIDATION): [f'{_URL}/valid.json'],
}
_CITATION = """\
@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
author = "Tjong Kim Sang, Erik F. and
De Meulder, Fien",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
year = "2003",
url = "https://www.aclweb.org/anthology/W03-0419",
pages = "142--147",
}
"""
class Conll2003Config(datasets.BuilderConfig):
"""BuilderConfig"""
def __init__(self, **kwargs):
"""BuilderConfig.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(Conll2003Config, self).__init__(**kwargs)
class Conll2003(datasets.GeneratorBasedBuilder):
"""Dataset."""
BUILDER_CONFIGS = [
Conll2003Config(name=_NAME, version=datasets.Version("1.0.0"), description=_DESCRIPTION),
]
def _split_generators(self, dl_manager):
downloaded_file = dl_manager.download_and_extract(_URLS)
return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
def _generate_examples(self, filepaths):
_key = 0
for filepath in filepaths:
logger.info(f"generating examples from = {filepath}")
with open(filepath) as f:
data_list = json.load(f)
print(data_list)
for (tokens, tags) in data_list:
yield _key, {'tokens': tokens, 'tags': tags}
_key += 1
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"tokens": datasets.Sequence(datasets.Value("string")),
"tags": datasets.Sequence(
datasets.features.ClassLabel(
names=[
"O",
"B-PER",
"I-PER",
"B-ORG",
"I-ORG",
"B-LOC",
"I-LOC",
"B-MISC",
"I-MISC",
]
)
),
}
),
supervised_keys=None,
homepage=_HOME_PAGE,
citation=_CITATION,
)