Datasets:
Tasks:
Translation
Multilinguality:
multilingual
Size Categories:
100K<n<1M
Language Creators:
found
Source Datasets:
extended
Tags:
| # 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://raw.githubusercontent.com/qanastek/ELRC-Medical-V2/main/csv_corpus/" | |
| # _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): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features({ | |
| "doc_id": datasets.Value("int32"), | |
| "lang": datasets.Value("string"), | |
| "source_text": datasets.Value("large_string"), | |
| "target_text": datasets.Value("large_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(_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) | |
| with open(filepath, encoding="utf-8") as f: | |
| for id_, row in enumerate(csv.reader(f, delimiter=',')): | |
| if id_ == 0: | |
| continue | |
| yield id_, { | |
| "doc_id": int(row[0]), | |
| "lang": str(row[1]), | |
| "source_text": str(row[2]), | |
| "target_text": str(row[3]) | |
| } | |