Datasets:
Commit
•
9bd4e59
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Parent(s):
a69690d
Add loader script
Browse filesThis commit adds a loader script for the dataset which download data from the original GitHub repository and generate HF dataset
- europarl_ner_loader.py +137 -0
europarl_ner_loader.py
ADDED
@@ -0,0 +1,137 @@
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# coding=utf-8
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"""The HF Datasets adapter for Evaluation Corpus for Named Entity Recognition using Europarl"""
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import datasets
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_CITATION = """@inproceedings{agerri-etal-2018-building,
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title = "Building Named Entity Recognition Taggers via Parallel Corpora",
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author = "Agerri, Rodrigo and
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Chung, Yiling and
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Aldabe, Itziar and
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Aranberri, Nora and
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Labaka, Gorka and
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Rigau, German",
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editor = "Calzolari, Nicoletta and
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Choukri, Khalid and
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Cieri, Christopher and
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Declerck, Thierry and
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Goggi, Sara and
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Hasida, Koiti and
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Isahara, Hitoshi and
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Maegaard, Bente and
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Mariani, Joseph and
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Mazo, H{\'e}l{\`e}ne and
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Moreno, Asuncion and
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Odijk, Jan and
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Piperidis, Stelios and
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Tokunaga, Takenobu",
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booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
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month = may,
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year = "2018",
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address = "Miyazaki, Japan",
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publisher = "European Language Resources Association (ELRA)",
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url = "https://aclanthology.org/L18-1557",
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}"""
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_DESCRIPTION = """This dataset contains a gold-standard test set created from the
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Europarl corpus. The test set consists of 799 sentences manually annotated using
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four entity types and following the CoNLL 2002 and 2003 guidelines for 4 languages:
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English, German, Italian and Spanish."""
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_DATA_URLs = {
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"en": "https://github.com/ixa-ehu/ner-evaluation-corpus-europarl/raw/master/en-europarl.test.conll02",
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"de": "https://github.com/ixa-ehu/ner-evaluation-corpus-europarl/raw/master/de-europarl.test.conll02",
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"es": "https://github.com/ixa-ehu/ner-evaluation-corpus-europarl/raw/master/es-europarl.test.conll02",
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"it": "https://github.com/ixa-ehu/ner-evaluation-corpus-europarl/raw/master/it-europarl.test.conll02",
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}
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_HOMEPAGE = "https://github.com/ixa-ehu/ner-evaluation-corpus-europarl"
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_VERSION = "1.0.0"
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_LANGS = ["en", "de", "es", "it"]
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class EuroparlNERConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super(EuroparlNERConfig, self).__init__(
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version=datasets.Version(_VERSION, ""), **kwargs
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)
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class EuroparlNER(datasets.GeneratorBasedBuilder):
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"""EuroparlNER is a multilingual named entity recognition dataset consisting of
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manualy anotated part of the European Parliament Proceedings Parallel Corpus
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1996-2011 with LOC, PER, ORG and MISC tags"""
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VERSION = datasets.Version(_VERSION)
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BUILDER_CONFIGS = [
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EuroparlNERConfig(
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name=lang, description=f"EuroparlNER examples in language {lang}"
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)
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for lang in _LANGS
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]
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DEFAULT_CONFIG_NAME = "en"
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def _info(self):
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features = datasets.Features(
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{
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"tokens": datasets.Sequence(datasets.Value("string")),
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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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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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lang = self.config.name
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dl_dir = dl_manager.download(_DATA_URLs[lang])
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"filepath": dl_dir},
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),
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]
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def _generate_examples(self, filepath):
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guid_index = 1
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with open(filepath, encoding="utf-8") as f:
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tokens = []
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ner_tags = []
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for line in f:
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if line == "" or line == "\n":
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if tokens:
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yield guid_index, {
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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guid_index += 1
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tokens = []
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ner_tags = []
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else:
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# EuroparlNER data is tab separated
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splits = line.split("\t")
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tokens.append(splits[0])
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if len(splits) > 1:
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ner_tags.append(splits[1].replace("\n", ""))
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else:
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# examples have no label in test set
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ner_tags.append("O")
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