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- # coding=utf-8
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- # Copyright 2020 HuggingFace Datasets Authors.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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-
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- # Lint as: python3
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- """Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition"""
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-
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- import os
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-
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- import datasets
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-
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-
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- logger = datasets.logging.get_logger(__name__)
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-
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-
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- _CITATION = """\
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- aa
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- """
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-
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- _DESCRIPTION = """\
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- aa
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- """
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-
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- _URL = "https://raw.githubusercontent.com/BihterDass/ner/main/ner-main.zip"
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- _TRAINING_FILE = "train.txt"
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- _DEV_FILE = "valid.txt"
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- _TEST_FILE = "test.txt"
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-
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-
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- class Conll2003Config(datasets.BuilderConfig):
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- """BuilderConfig for Conll2003"""
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-
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- def __init__(self, **kwargs):
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- """BuilderConfig forConll2003.
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- Args:
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- **kwargs: keyword arguments forwarded to super.
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- """
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- super(Conll2003Config, self).__init__(**kwargs)
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-
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-
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- class Conll2003(datasets.GeneratorBasedBuilder):
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- """Conll2003 dataset."""
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-
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- BUILDER_CONFIGS = [
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- Conll2003Config(name="conll2003", version=datasets.Version("1.0.0"), description="Conll2003 dataset"),
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- ]
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "id": datasets.Value("string"),
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- "tokens": datasets.Sequence(datasets.Value("string")),
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- "pos_tags": datasets.Sequence(
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- datasets.features.ClassLabel(
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- names=[
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- '"',
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- "''",
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- "#",
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- "$",
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- "(",
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- ")",
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- ",",
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- ".",
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- ":",
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- "``",
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- "CC",
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- "CD",
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- "DT",
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- "EX",
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- "FW",
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- "IN",
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- "JJ",
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- "JJR",
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- "JJS",
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- "LS",
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- "MD",
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- "NN",
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- "NNP",
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- "NNPS",
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- "NNS",
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- "NN|SYM",
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- "PDT",
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- "POS",
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- "PRP",
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- "PRP$",
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- "RB",
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- "RBR",
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- "RBS",
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- "RP",
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- "SYM",
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- "TO",
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- "UH",
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- "VB",
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- "VBD",
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- "VBG",
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- "VBN",
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- "VBP",
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- "VBZ",
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- "WDT",
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- "WP",
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- "WP$",
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- "WRB",
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- ]
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- )
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- ),
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- "chunk_tags": datasets.Sequence(
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- datasets.features.ClassLabel(
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- names=[
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- "O",
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- "B-ADJP",
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- "I-ADJP",
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- "B-ADVP",
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- "I-ADVP",
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- "B-CONJP",
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- "I-CONJP",
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- "B-INTJ",
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- "I-INTJ",
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- "B-LST",
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- "I-LST",
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- "B-NP",
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- "I-NP",
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- "B-PP",
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- "I-PP",
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- "B-PRT",
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- "I-PRT",
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- "B-SBAR",
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- "I-SBAR",
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- "B-UCP",
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- "I-UCP",
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- "B-VP",
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- "I-VP",
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- ]
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- )
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- ),
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- "ner_tags": datasets.Sequence(
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- datasets.features.ClassLabel(
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- names=[
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- "O",
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- "B-PER",
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- "I-PER",
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- "B-ORG",
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- "I-ORG",
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- "B-LOC",
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- "I-LOC",
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- "B-MISC",
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- "I-MISC",
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- ]
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- )
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- ),
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- }
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- ),
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- supervised_keys=None,
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- homepage="https://github.com/BihterDass/ner/blob/main/ner-main.zip",
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- downloaded_file = dl_manager.download_and_extract(_URL)
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- data_files = {
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- "train": os.path.join(downloaded_file, _TRAINING_FILE),
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- "dev": os.path.join(downloaded_file, _DEV_FILE),
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- "test": os.path.join(downloaded_file, _TEST_FILE),
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- }
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-
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- return [
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- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}),
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- datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}),
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- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}),
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- ]
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- def _generate_examples(self, filepath):
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- logger.info("⏳ Generating examples from = %s", filepath)
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- with open(filepath, encoding="utf-8") as f:
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- guid = 0
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- tokens = []
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- pos_tags = []
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- chunk_tags = []
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- ner_tags = []
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- for line in f:
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- if line.startswith("-DOCSTART-") or line == "" or line == "\n":
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- if tokens:
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- yield guid, {
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- "id": str(guid),
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- "tokens": tokens,
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- "pos_tags": pos_tags,
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- "chunk_tags": chunk_tags,
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- "ner_tags": ner_tags,
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- }
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- guid += 1
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- tokens = []
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- pos_tags = []
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- chunk_tags = []
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- ner_tags = []
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- else:
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- # conll2003 tokens are space separated
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- splits = line.split(" ")
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- tokens.append(splits[0])
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- pos_tags.append(splits[1])
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- chunk_tags.append(splits[2])
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- ner_tags.append(splits[3].rstrip())
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- # last example
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- if tokens:
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- yield guid, {
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- "id": str(guid),
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- "tokens": tokens,
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- "pos_tags": pos_tags,
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- "chunk_tags": chunk_tags,
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- "ner_tags": ner_tags,
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- }