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nordic_dsl_10000test.csv ADDED
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nordic_dsl_50000train.csv ADDED
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nordic_langid.py ADDED
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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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+ """NordicDSL: A language identification datasets for Nordic languages"""
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+
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+ import csv
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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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+ @inproceedings{haas-derczynski-2021-discriminating,
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+ title = "Discriminating Between Similar Nordic Languages",
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+ author = "Haas, Ren{\'e} and
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+ Derczynski, Leon",
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+ booktitle = "Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects",
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+ month = apr,
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+ year = "2021",
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+ address = "Kiyv, Ukraine",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.vardial-1.8",
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+ pages = "67--75",
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+ }
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+
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+ """
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+
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+ _DESCRIPTION = """\
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+ Automatic language identification is a challenging problem. Discriminating
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+ between closely related languages is especially difficult. This paper presents
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+ a machine learning approach for automatic language identification for the
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+ Nordic languages, which often suffer miscategorisation by existing
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+ state-of-the-art tools. Concretely we will focus on discrimination between six
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+ Nordic languages: Danish, Swedish, Norwegian (Nynorsk), Norwegian (Bokmål),
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+ Faroese and Icelandic.
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+
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+ This is the data for the tasks. Two variants are provided: 10K and 50K, with
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+ holding 10,000 and 50,000 examples for each language respectively.
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+
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+ """
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+
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+ _URLS = {
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+ "10K": "nordic_dsl_10000",
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+ "50K": "nordic_dsl_50000",
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+ }
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+
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+
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+ class NordicLangIdConfig(datasets.BuilderConfig):
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+ """BuilderConfig for NordicLangId"""
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig NordicLangId.
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+
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(NordicLangIdConfig, self).__init__(**kwargs)
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+
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+
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+ class NordicLangId(datasets.GeneratorBasedBuilder):
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+ """NordicLangId dataset."""
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+ BUILDER_CONFIGS = [
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+ NordicLangIdConfig(
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+ name="10k",
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+ description="Data for distinguishing between similar Nordic languages: 10k examples per class",
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+ version=VERSION,
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+ ),
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+ NordicLangIdConfig(
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+ name="50k",
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+ description="Data for distinguishing between similar Nordic languages: 50k examples per class",
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+ version=VERSION,
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+ ),
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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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+ "sentence": datasets.Value("string"),
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+ "language": datasets.features.ClassLabel(
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+ names=[
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+ "dk",
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+ "sv",
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+ "nb",
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+ "nn",
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+ "fo",
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+ "is",
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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://aclanthology.org/2021.vardial-1.8/",
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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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+ if self.config.name == "10k":
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+ downloaded_train = dl_manager.download(_URLS["10K"] + 'train.csv')
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+ downloaded_test = dl_manager.download(_URLS["10K"] + 'test.csv')
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+ elif self.config.name == "50k":
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+ downloaded_train = dl_manager.download(_URLS["50K"] + 'train.csv')
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+ downloaded_test = dl_manager.download(_URLS["50K"] + 'test.csv')
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+
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_train}),
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+ datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_test}),
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+ ]
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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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+ for line in f:
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+ line = line.strip()
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+ if not line:
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+ continue
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+ if self.config.name == "10k":
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+ line = line.replace('dataset10000, ', '')
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+ if self.config.name == "50k":
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+ line = line.replace('dataset50000, ', '')
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+
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+ instance = {
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+ "id": str(guid),
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+ "language": line[-2:],
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+ "sentence": line[:-3],
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+ }
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+
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+ yield guid, instance
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+ guid += 1