Datasets:

qanastek
/

ELRC-Medical-V2

@@ -1,230 +1,228 @@
----
-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://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:** [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,
-}
-```

+---
+annotations_creators:
+- machine-generated
+- expert-generated
+language_creators:
+- found
+languages:
+- en
+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://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:** [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,
+}
+```