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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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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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ner_tags.append("O") |
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