Datasets:

qanastek
/

ELRC-Medical-V2

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CITATION.cff DELETED Viewed

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-cff-version: 1.0.0
-message: "European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management"
-authors:
-- family-names: "Lösch"
-  given-names: "Andrea"
-- family-names: "Mapelli"
-  given-names: "Valérie"
-- family-names: "Piperidis"
-  given-names: "Stelios"
-- family-names: "Vasiļjevs"
-  given-names: "Andrejs"
-- family-names: "Smal"
-  given-names: "Lilli"
-- family-names: "Declerck"
-  given-names: "Thierry"
-- family-names: "Schnur"
-  given-names: "Eileen"
-- family-names: "Choukri"
-  given-names: "Khalid"
-- family-names: "van Genabith"
-  given-names: "Josef"
-title: "European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management"
-version: 2.0.0
-date-released: 2018-01-01
-url: "https://aclanthology.org/L18-1213/"

ELRC-Medical-V2.py DELETED Viewed

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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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README.md DELETED Viewed

@@ -1,229 +0,0 @@
----
-annotations_creators:
-- machine-generated
-- expert-generated
-language_creators:
-- found
-language:
-- en
-- bg
-- cs
-- da
-- de
-- el
-- es
-- et
-- fi
-- fr
-- ga
-- hr
-- hu
-- it
-- lt
-- lv
-- mt
-- nl
-- pl
-- pt
-- ro
-- sk
-- sl
-- sv
-multilinguality:
-- multilingual
-pretty_name: ELRC-Medical-V2
-size_categories:
-- 100K<n<1M
-source_datasets:
-- extended
-task_categories:
-- translation
-task_ids:
-- translation
----
-# ELRC-Medical-V2 : European parallel corpus for healthcare machine translation
-## Table of Contents
-- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-  - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Other Known Limitations](#other-known-limitations)
-  - [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-information)
-## Dataset Description
-- **Homepage:** https://live.european-language-grid.eu/catalogue/project/2209
-- **Repository:** https://github.com/qanastek/ELRC-Medical-V2/
-- **Paper:** [Needs More Information]
-- **Leaderboard:** [Needs More Information]
-- **Point of Contact:** [Yanis Labrak](mailto:[email protected])
-### Dataset Summary
-`ELRC-Medical-V2` is a parallel corpus for neural machine translation funded by the [European Commission](http://www.lr-coordination.eu/) and coordinated by the [German Research Center for Artificial Intelligence](https://www.dfki.de/web).
-### Supported Tasks and Leaderboards
-`translation`: The dataset can be used to train a model for translation.
-### Languages
-In our case, the corpora consists of a pair of source and target sentences for 23 differents languages from the European Union (EU) with as source language in each cases english (EN).
-**List of languages :** `Bulgarian (bg)`,`Czech (cs)`,`Danish (da)`,`German (de)`,`Greek (el)`,`Spanish (es)`,`Estonian (et)`,`Finnish (fi)`,`French (fr)`,`Irish (ga)`,`Croatian (hr)`,`Hungarian (hu)`,`Italian (it)`,`Lithuanian (lt)`,`Latvian (lv)`,`Maltese (mt)`,`Dutch (nl)`,`Polish (pl)`,`Portuguese (pt)`,`Romanian (ro)`,`Slovak (sk)`,`Slovenian (sl)`,`Swedish (sv)`.
-## Load the dataset with HuggingFace
-```python
-from datasets import load_dataset
-NAME = "qanastek/ELRC-Medical-V2"
-dataset = load_dataset(NAME, use_auth_token=True)
-print(dataset)
-dataset_train = load_dataset(NAME, "en-es", split='train[:90%]')
-dataset_test = load_dataset(NAME, "en-es", split='train[10%:]')
-print(dataset_train)
-print(dataset_train[0])
-print(dataset_test)
-```
-## Dataset Structure
-### Data Instances
-```plain
-id,lang,source_text,target_text
-1,en-bg,"TOC \o ""1-3"" \h \z \u Introduction 3","TOC \o ""1-3"" \h \z \u Въведение 3"
-2,en-bg,The international humanitarian law and its principles are often not respected.,Международното хуманитарно право и неговите принципи често не се зачитат.
-3,en-bg,"At policy level, progress was made on several important initiatives.",На равнище политики напредък е постигнат по няколко важни инициативи.
-```
-### Data Fields
-**id** : The document identifier of type `Integer`.
-**lang** : The pair of source and target language of type `String`.
-**source_text** : The source text of type `String`.
-**target_text** : The target text of type `String`.
-### Data Splits
-| Lang   |   # Docs  |   Avg. # Source Tokens |   Avg. # Target Tokens |
-|--------|-----------|------------------------|------------------------|
-| bg     |    13 149 |                     23 |                     24 |
-| cs     |    13 160 |                     23 |                     21 |
-| da     |    13 242 |                     23 |                     22 |
-| de     |    13 291 |                     23 |                     22 |
-| el     |    13 091 |                     23 |                     26 |
-| es     |    13 195 |                     23 |                     28 |
-| et     |    13 016 |                     23 |                     17 |
-| fi     |    12 942 |                     23 |                     16 |
-| fr     |    13 149 |                     23 |                     28 |
-| ga     |       412 |                     12 |                     12 |
-| hr     |    12 836 |                     23 |                     21 |
-| hu     |    13 025 |                     23 |                     21 |
-| it     |    13 059 |                     23 |                     25 |
-| lt     |    12 580 |                     23 |                     18 |
-| lv     |    13 044 |                     23 |                     19 |
-| mt     |     3 093 |                     16 |                     14 |
-| nl     |    13 191 |                     23 |                     25 |
-| pl     |    12 761 |                     23 |                     22 |
-| pt     |    13 148 |                     23 |                     26 |
-| ro     |    13 163 |                     23 |                     25 |
-| sk     |    12 926 |                     23 |                     20 |
-| sl     |    13 208 |                     23 |                     21 |
-| sv     |    13 099 |                     23 |                     21 |
-|||||
-| Total  |    277 780 |                  22.21 |                  21.47 |
-## Dataset Creation
-### Curation Rationale
-For details, check the corresponding [pages](https://elrc-share.eu/repository/search/?q=mfsp%3A87ef9e5e8ac411ea913100155d026706e19a1a9f908b463c944490c36ba2f454&page=3).
-### Source Data
-#### Initial Data Collection and Normalization
-The acquisition of bilingual data (from multilingual websites), normalization, cleaning, deduplication and identification of parallel documents have been done by [ILSP-FC tool](http://nlp.ilsp.gr/redmine/projects/ilsp-fc/wiki/Introduction). [Maligna aligner](https://github.com/loomchild/maligna) was used for alignment of segments. Merging/filtering of segment pairs has also been applied.
-#### Who are the source language producers?
-Every data of this corpora as been uploaded by [Vassilis Papavassiliou](mailto:[email protected]) on [ELRC-Share](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-fr/6b31b32e8ac411ea913100155d0267061547d9b3ec284584af19a2953baa8937/).
-### Personal and Sensitive Information
-The corpora is free of personal or sensitive information.
-## Considerations for Using the Data
-### Other Known Limitations
-The nature of the task introduce a variability in the quality of the target translations.
-## Additional Information
-### Dataset Curators
-__ELRC-Medical-V2__: Labrak Yanis, Dufour Richard
-__Bilingual corpus from the Publications Office of the EU on the medical domain v.2 (EN-XX) Corpus__: [Vassilis Papavassiliou](mailto:[email protected]) and [others](https://live.european-language-grid.eu/catalogue/project/2209).
-### Licensing Information
-<a rel="license" href="https://elrc-share.eu/static/metashare/licences/CC-BY-4.0.pdf"><img alt="Attribution 4.0 International (CC BY 4.0) License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />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>.
-### Citation Information
-Please cite the following paper when using this model.
-```latex
-@inproceedings{losch-etal-2018-european,
-    title = European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management,
-    author = {
-      L'osch, Andrea  and
-      Mapelli, Valérie  and
-      Piperidis, Stelios  and
-      Vasiljevs, 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,
-}
-```

Sources.md DELETED Viewed

@@ -1,51 +0,0 @@
-Author : Vassilis Papavassiliou
-E-mail : [email protected]
-SOURCE : https://elrc-share.eu/repository/search/?q=mfsp%3A87ef9e5e8ac411ea913100155d026706e19a1a9f908b463c944490c36ba2f454&page=3
-<!------------------------------------------------------------------------------------------------------------->
-EN-NL : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-nl/0795a5328ac411ea913100155d02670661b540c3ab9b437baf5a6c579c7edb3b/)
-EN-IT : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-it/1c9712ae8ac411ea913100155d0267060d3ec64573794618a2049032d45222bc/)
-EN-SK : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-sk/753106f48ac411ea913100155d02670675023d0bc65241428cbfd7afe7b9ead7/)
-EN-RO : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-ro/b7a65b888ac411ea913100155d026706ded61d21469348ffb2636e2803a635c6/)
-EN-ET : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-et/87ef9e5e8ac411ea913100155d026706e19a1a9f908b463c944490c36ba2f454/)
-EN-SV : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-sv/9b394db68ac411ea913100155d02670640194d29749547b6be33a1e8cbf5d562/)
-EN-SL : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-sl/ae053f048ac411ea913100155d026706f0febf401ec740868408fb2e51453f1b/)
-EN-PT : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-pt/910f78888ac411ea913100155d02670681a4e035f9394219a7583f5b3bd68d38/)
-EN-DE : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-de/45fd5da68ac411ea913100155d0267069530db4a3e254022a6b4c2913ea85a6b/)
-EN-CS : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-cs/3cada44a8ac411ea913100155d026706a1eb713cb10b412b9698d8bbb5223f33/)
-EN-HR : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-hr/fd521a748ac311ea913100155d026706c8b4b98192fe449b906fca7fa06ebfac/)
-EN-GA : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-ga/066484ee8ac411ea913100155d0267062c0536f082f247fcb619286dd47c28e4/)
-EN-LV : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-lv/c111b1c28ac411ea913100155d0267063654806a298c4ed7a8d81a51d793bb80/)
-EN-DA : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-da/590bca9a8ac411ea913100155d026706ef08fd0f54cf41709f27321483d9c8ba/)
-EN-ES : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-es/7e5fc8148ac411ea913100155d026706a8bb5852e91a445f954e87f890b1c1c6/)
-EN-FR : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-fr/6b31b32e8ac411ea913100155d0267061547d9b3ec284584af19a2953baa8937/)
-EN-BG : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-bg/317ea61e8ac411ea913100155d0267062f8b5afd0a9e4bf69c1769085bcec046/)
-EN-EL : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-el/25f356288ac411ea913100155d0267066eab52e28d0d4ce999e084901b2b19ce/)
-EN-FI : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-fi/10f0cae48ac411ea913100155d0267061604d2ee4e0e403a9f0dee81e8b32e59/)
-EN-HU : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-hu/4f831a468ac411ea913100155d026706080e73f4b1c34b01a01482d114ec0af0/)
-EN-LT : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-lt/6271d8548ac411ea913100155d026706c3c12eb81f5a48dfb69e61ae6ec40a00/)
-EN-MT : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-mt/19fe22768ac411ea913100155d026706076f8611164c4ca0b54534a5689261e1/)
-EN-PL : [URL](https://elrc-share.eu/repository/browse/bilingual-corpus-from-the-publications-office-of-the-eu-on-the-medical-domain-v2-en-pl/a45dc6108ac411ea913100155d02670678c5f568ee9d4ddca05dcc4474838275/)

convert_csv.py DELETED Viewed

@@ -1,78 +0,0 @@
-import os
-import pandas as pd
-from tqdm import tqdm
-from tabulate import tabulate
-from translate.storage.tmx import tmxfile
-# http://docs.translatehouse.org/projects/translate-toolkit/en/latest/api/storage.html
-INPUT_DIR = "corpus/"
-OUTPUT_PATH = "csv_corpus/"
-os.makedirs(OUTPUT_PATH, exist_ok=True)
-x = []
-# For each language file
-for file_name in tqdm(os.listdir(INPUT_DIR)):
-    if ".tmx" not in file_name:
-        continue
-    # Documents counter
-    cpt = 0
-    # Lenght of the sentences
-    source_lens = []
-    target_lens = []
-    print("file_name : ", file_name)
-    # Get the languages
-    LANG_PAIR = file_name.split(".")[0]
-    L1, L2 = LANG_PAIR.split("-")
-    data = []
-    df = pd.DataFrame(data={
-        'id': [],
-        'lang': [],
-        'source_text': [],
-        'target_text': []
-    })
-    # Read the file
-    with open(INPUT_DIR + file_name, 'rb') as fin:
-        # For each sentence
-        for node in tmxfile(fin, L1, L2).unit_iter():
-            # Add the sentence pair
-            data.append({
-                'id': node.getid(),
-                'lang': LANG_PAIR,
-                'source_text': node.source,
-                'target_text': node.target
-            })
-            cpt += 1
-            source_lens.append(len(node.source.split(" ")))
-            target_lens.append(len(node.target.split(" ")))
-    x.append([
-        L2,
-        cpt,
-        int(sum(source_lens) / len(source_lens)),
-        int(sum(target_lens) / len(target_lens))
-    ])
-    # Add to the data frame
-    df = df.append(data)
-    # Convert to CSV
-    df.to_csv(OUTPUT_PATH + LANG_PAIR + ".csv", index=False)
-log_file = open("stats.md","w")
-log_file.write(str(
-    tabulate(x, headers=['Lang', '# Docs', 'Avg. # Source Tokens', 'Avg. # Target Tokens'], tablefmt='orgtbl')
-).replace("+","|"))
-log_file.close()

csv/en-bg.csv DELETED Viewed