Datasets:

qanastek
/

ELRC-Medical-V2

	# coding=utf-8
	# Source: https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py

	"""ELRC-Medical-V2 : European parallel corpus for healthcare machine translation"""

	import os
	import csv
	import datasets
	from tqdm import tqdm

	logger = datasets.logging.get_logger(__name__)

	_CITATION = """
	@inproceedings{losch-etal-2018-european,
	title = "European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management",
	author = {L{\"o}sch, Andrea and
	Mapelli, Val{\'e}rie and
	Piperidis, Stelios and
	Vasi{\c{l}}jevs, Andrejs and
	Smal, Lilli and
	Declerck, Thierry and
	Schnur, Eileen and
	Choukri, Khalid and
	van Genabith, Josef},
	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/L18-1213",
	}
	"""

	_LANGUAGE_PAIRS = ["en-" + lang for lang in ["bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "ga", "hr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"]]

	_LICENSE = """
	This work is licensed under a <a rel="license" href="https://elrc-share.eu/static/metashare/licences/CC-BY-4.0.pdf">Attribution 4.0 International (CC BY 4.0) License</a>.
	"""

	# _URLS = {
	# lang : "https://huggingface.co/datasets/qanastek/ELRC-Medical-V2/raw/main/csv/" + lang + ".csv" for lang in _LANGUAGE_PAIRS
	# }

	_URL = "https://huggingface.co/datasets/qanastek/ELRC-Medical-V2/resolve/main/ELRC-Medical-V2.zip"
	# _URL = "https://raw.githubusercontent.com/qanastek/ELRC-Medical-V2/main/csv_corpus/"

	_DESCRIPTION = "No description"

	class ELRC_Medical_V2(datasets.GeneratorBasedBuilder):
	"""ELRC-Medical-V2 dataset."""

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name=name, version=datasets.Version("2.0.0"), description="The ELRC-Medical-V2 corpora") for name in _LANGUAGE_PAIRS
	]

	DEFAULT_CONFIG_NAME = "en-fr"

	def _info(self):
	src, target = self.config.name.split("-")
	pair = (src, target)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{"translation": datasets.features.Translation(languages=pair)}
	),
	supervised_keys=(src, target),
	# features=datasets.Features({
	# "doc_id": datasets.Value("int32"),
	# "lang": datasets.Value("string"),
	# "source_text": datasets.Value("string"),
	# "target_text": datasets.Value("string"),
	# }),
	# supervised_keys=None,
	homepage="https://github.com/qanastek/ELRC-Medical-V2/",
	citation=_CITATION,
	license=_LICENSE,
	)

	def _split_generators(self, dl_manager):

	# Download the CSV
	data_dir = dl_manager.download_and_extract(_URL)
	# data_dir = dl_manager.download(_URL)

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"filepath": data_dir + "/" + self.config.name + ".csv",
	"split": "train",
	}
	),
	]

	def _generate_examples(self, filepath, split):

	logger.info("⏳ Generating examples from = %s", filepath)

	key_ = 0

	with open(filepath, encoding="utf-8") as f:

	for id_, row in enumerate(csv.reader(f, delimiter=',')):

	if id_ == 0:
	continue

	# Get langue pair
	src, target = str(row[1]).split("-")

	yield key_, {
	"translation": {
	src: str(row[2]).strip(),
	target: str(row[3]).strip(),
	},
	}

	# yield key_, {
	# "doc_id": int(row[0]),
	# "lang": str(row[1]),
	# "source_text": str(row[2]),
	# "target_text": str(row[3])
	# }

	key_ += 1