Datasets:
Tasks:
Translation
Multilinguality:
multilingual
Size Categories:
100K<n<1M
Language Creators:
found
Source Datasets:
extended
Tags:
File size: 4,290 Bytes
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# 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
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