Convert dataset to Parquet

README.md

@@ -40,7 +40,6 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: EuropaEcdcTm
 dataset_info:
 - config_name: en2bg
@@ -53,10 +52,10 @@ dataset_info:
         - bg
   splits:
   - name: train
-    num_bytes: 798444
+    num_bytes: 798436
     num_examples: 2567
-  download_size: 4286636
-  dataset_size: 798444
+  download_size: 382582
+  dataset_size: 798436
 - config_name: en2cs
   features:
   - name: translation
@@ -165,10 +164,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 595489
+    num_bytes: 595481
     num_examples: 2561
-  download_size: 4286636
-  dataset_size: 595489
+  download_size: 327758
+  dataset_size: 595481
 - config_name: en2ga
   features:
   - name: translation
@@ -361,10 +360,10 @@ dataset_info:
         - sl
   splits:
   - name: train
-    num_bytes: 594027
+    num_bytes: 594019
     num_examples: 2545
-  download_size: 4286636
-  dataset_size: 594027
+  download_size: 319355
+  dataset_size: 594019
 - config_name: en2sv
   features:
   - name: translation
@@ -379,6 +378,19 @@ dataset_info:
     num_examples: 2527
   download_size: 4286636
   dataset_size: 546349
+configs:
+- config_name: en2bg
+  data_files:
+  - split: train
+    path: en2bg/train-*
+- config_name: en2fr
+  data_files:
+  - split: train
+    path: en2fr/train-*
+- config_name: en2sl
+  data_files:
+  - split: train
+    path: en2sl/train-*
 ---
 
 # Dataset Card for [Dataset Name]

en2bg/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ce9864cc1a94e065928407d3672e5cea333e6db5322a8f7196c17c54bf432cf
+size 382582

en2fr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5eb0e32a48fbfbaf1d3ee4cd422e2226e522811a79b9bbc6d7b7e11fc02746cf
+size 327758

en2sl/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25322ac5b1ffdad4ad9f07c272a3edcb4e4a8c2616a8a8dad5f2450b5398bcb7
+size 319355

europa_ecdc_tm.py

@@ -1,206 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""European Center for Disease Prevention and Control Translation Memory dataset"""
-
-
-import os
-from xml.etree import ElementTree
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@Article{Steinberger2014,
-        author={Steinberger, Ralf
-                and Ebrahim, Mohamed
-                and Poulis, Alexandros
-                and Carrasco-Benitez, Manuel
-                and Schl{\"u}ter, Patrick
-                and Przybyszewski, Marek
-                and Gilbro, Signe},
-        title={An overview of the European Union's highly multilingual parallel corpora},
-        journal={Language Resources and Evaluation},
-        year={2014},
-        month={Dec},
-        day={01},
-        volume={48},
-        number={4},
-        pages={679-707},
-        issn={1574-0218},
-        doi={10.1007/s10579-014-9277-0},
-        url={https://doi.org/10.1007/s10579-014-9277-0}
-}
-"""
-
-_DESCRIPTION = """\
-In October 2012, the European Union (EU) agency 'European Centre for Disease Prevention and Control' (ECDC) released \
-a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in \
-twenty-five languages. This resource bears the name EAC Translation Memory, short EAC-TM.
-ECDC-TM covers 25 languages: the 23 official languages of the EU plus Norwegian (Norsk) and Icelandic. ECDC-TM was \
-created by translating from English into the following 24 languages: Bulgarian, Czech, Danish, Dutch, English, \
-Estonian, Gaelige (Irish), German, Greek, Finnish, French, Hungarian, Icelandic, Italian, Latvian, Lithuanian, \
-Maltese, Norwegian (NOrsk), Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish and Swedish.
-All documents and sentences were thus originally written in English. They were then translated into the other \
-languages by professional translators from the Translation Centre CdT in Luxembourg."""
-
-_HOMEPAGE = "https://ec.europa.eu/jrc/en/language-technologies/ecdc-translation-memory"
-
-_LICENSE = "\
-Creative Commons Attribution 4.0 International(CC BY 4.0) licence \
-Copyright © EU/ECDC, 1995-2020"
-
-_VERSION = "1.0.0"
-
-_DATA_URL = "http://optima.jrc.it/Resources/ECDC-TM/ECDC-TM.zip"
-
-_AVAILABLE_LANGUAGES = (
-    "bg",
-    "cs",
-    "da",
-    "de",
-    "el",
-    "es",
-    "en",
-    "et",
-    "fi",
-    "fr",
-    "ga",
-    "hu",
-    "is",
-    "it",
-    "lt",
-    "lv",
-    "mt",
-    "nl",
-    "no",
-    "pl",
-    "pt",
-    "ro",
-    "sk",
-    "sl",
-    "sv",
-)
-
-
-def _find_sentence(translation, language):
-    """Util that returns the sentence in the given language from translation, or None if it is not found
-
-    Args:
-        translation: `xml.etree.ElementTree.Element`, xml tree element extracted from the translation memory files.
-        language: `str`, language of interest e.g. 'en'
-
-    Returns: `str` or `None`, can be `None` if the language of interest is not found in the translation
-    """
-    # Retrieve the first <tuv> children of translation having xml:lang tag equal to language
-    namespaces = {"xml": "http://www.w3.org/XML/1998/namespace"}
-    seg_tag = translation.find(path=f".//tuv[@xml:lang='{language.upper()}']/seg", namespaces=namespaces)
-    if seg_tag is not None:
-        return seg_tag.text
-    return None
-
-
-class EuropaEcdcTMConfig(datasets.BuilderConfig):
-    """BuilderConfig for EuropaEcdcTM"""
-
-    def __init__(self, *args, language_pair=(None, None), **kwargs):
-        """BuilderConfig for EuropaEcdcTM
-        Args:
-            language_pair: pair of languages that will be used for translation. Should
-                contain 2-letter coded strings. First will be used at source and second
-                as target in supervised mode. For example: ("se", "en").
-            **kwargs: keyword arguments forwarded to super.
-        """
-        name = f"{language_pair[0]}2{language_pair[1]}"
-        description = f"Translation dataset from {language_pair[0]} to {language_pair[1]}"
-        super(EuropaEcdcTMConfig, self).__init__(
-            *args,
-            name=name,
-            description=description,
-            **kwargs,
-        )
-        source, target = language_pair
-        assert source != target, "Source and target languages must be different}"
-        assert (source in _AVAILABLE_LANGUAGES) and (
-            target in _AVAILABLE_LANGUAGES
-        ), f"Either source language {source} or target language {target} is not supported. Both must be one of : {_AVAILABLE_LANGUAGES}"
-        self.language_pair = language_pair
-
-
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class EuropaEcdcTM(datasets.GeneratorBasedBuilder):
-    """European Center for Disease Control and Prevention Translation Memory"""
-
-    BUILDER_CONFIGS = [
-        EuropaEcdcTMConfig(language_pair=("en", target), version=_VERSION) for target in ["bg", "fr", "sl"]
-    ]
-    BUILDER_CONFIG_CLASS = EuropaEcdcTMConfig
-
-    def _info(self):
-        source, target = self.config.language_pair
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "translation": datasets.features.Translation(languages=self.config.language_pair),
-                }
-            ),
-            supervised_keys=(source, target),
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
-        filepath = os.path.join(dl_dir, "ECDC-TM", "ECDC.tmx")
-        source, target = self.config.language_pair
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": filepath,
-                    "source_language": source,
-                    "target_language": target,
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self,
-        filepath,
-        source_language,
-        target_language,
-    ):
-        logger.info(f"⏳ Generating examples from = {filepath}")
-        xml_element_tree = ElementTree.parse(filepath)
-        xml_body_tag = xml_element_tree.getroot().find("body")
-        assert xml_body_tag is not None, f"Invalid data: <body></body> tag not found in {filepath}"
-
-        # Translations are stored in <tu>...</tu> tags
-        translation_units = xml_body_tag.iter("tu")
-
-        # _ids may not be contiguous
-        for _id, translation in enumerate(translation_units):
-            source_sentence = _find_sentence(translation=translation, language=source_language)
-            target_sentence = _find_sentence(translation=translation, language=target_language)
-            if source_sentence is None or target_sentence is None:
-                continue
-
-            yield _id, {
-                "translation": {source_language: source_sentence, target_language: target_sentence},
-            }