Delete loading script

europarl-ner.py

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