Update

.gitattributes

@@ -25,13 +25,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
+*.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-dev.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-test.conllu filter=lfs diff=lfs merge=lfs -text
+fr_gsd-ud-plus-train.conllu filter=lfs diff=lfs merge=lfs -text

CITATION.cff

@@ -0,0 +1,25 @@
+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

@@ -0,0 +1,123 @@
+# 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>.
+"""
+
+_DESCRIPTION = "No description"
+
+_URLS = {
+    "ELRC-Medical-V2": "https://huggingface.co/datasets/qanastek/ELRC-Medical-V2/resolve/main/ELRC_Medical_V2.zip"
+}
+
+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({
+                "id": datasets.Value("string"),
+                "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):
+
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+
+        TRAIN_PATH = 'train.conllu'
+        DEV_PATH   = 'dev.conllu'
+        TEST_PATH  = 'test.conllu'
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, TRAIN_PATH),
+                    "split": "train",
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, DEV_PATH),
+                    "split": "dev",
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, TEST_PATH),
+                    "split": "test",
+                }
+            ),
+        ]
+        
+
+    def _generate_examples(self, filepath, split):
+
+        logger.info("⏳ Generating examples from = %s", filepath)
+
+        with open(filepath, encoding="utf-8") as f:
+
+            guid = 0
+
+            for row in csv.reader(f, delimiter=','):
+
+                print(row)
+
+                yield guid, {
+                    "id": str(guid),
+                    "lang": "en-fr",
+                    "source_text": "hi",
+                    "target_text": "salut"
+                }
+
+                guid += 1

ELRC_Medical_V2.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d5bf4590f0e20f6122dec30832e256809af6273abcbf799d17428eb254e7709
+size 28350409

LICENSE

@@ -0,0 +1,395 @@
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README.md

@@ -1,3 +1,221 @@
 ---
-license: cc-by-4.0
+annotations_creators:
+- machine-generated
+- expert-generated
+language_creators:
+- found
+languages:
+- en
+licenses:
+- cc-by-4-0
+multilinguality:
+- bg
+- cs
+- da
+- de
+- el
+- es
+- et
+- fi
+- fr
+- ga
+- hr
+- hu
+- it
+- lt
+- lv
+- mt
+- nl
+- pl
+- pt
+- ro
+- sk
+- sl
+- sv
+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://qanastek.github.io/ELRC-Medical-V2/
+- **Repository:** https://github.com/qanastek/ELRC-Medical-V2/
+- **Paper:** [Needs More Information]
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** yanis.labrak@univ-avignon.fr
+
+
+
+
+
+
+### 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
+dataset = load_dataset("qanastek/ELRC-Medical-V2")
+print(dataset)
+```
+
+## 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:vpapa@ilsp.gr) 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:vpapa@ilsp.gr) 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,
+}
+```

convert_csv.py

@@ -0,0 +1,78 @@
+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()

requirements.txt

@@ -0,0 +1 @@
+translate-toolkit

stats.md

@@ -0,0 +1,25 @@
+| Lang   |   # Docs |   Avg. # Source Tokens |   Avg. # Target Tokens |
+|--------|----------|------------------------|------------------------|
+| bg     |    13149 |                     23 |                     24 |
+| cs     |    13160 |                     23 |                     21 |
+| da     |    13242 |                     23 |                     22 |
+| de     |    13291 |                     23 |                     22 |
+| el     |    13091 |                     23 |                     26 |
+| es     |    13195 |                     23 |                     28 |
+| et     |    13016 |                     23 |                     17 |
+| fi     |    12942 |                     23 |                     16 |
+| fr     |    13149 |                     23 |                     28 |
+| ga     |      412 |                     12 |                     12 |
+| hr     |    12836 |                     23 |                     21 |
+| hu     |    13025 |                     23 |                     21 |
+| it     |    13059 |                     23 |                     25 |
+| lt     |    12580 |                     23 |                     18 |
+| lv     |    13044 |                     23 |                     19 |
+| mt     |     3093 |                     16 |                     14 |
+| nl     |    13191 |                     23 |                     25 |
+| pl     |    12761 |                     23 |                     22 |
+| pt     |    13148 |                     23 |                     26 |
+| ro     |    13163 |                     23 |                     25 |
+| sk     |    12926 |                     23 |                     20 |
+| sl     |    13208 |                     23 |                     21 |
+| sv     |    13099 |                     23 |                     21 |