# Dataset Card for "spanish-chinese"

All sensences extracted from the United Nations Parallel Corpus v1.0.

The parallel corpus consists of manually translated United Nations documents for the six
official UN languages, Arabic, Chinese, English, French, Russian, and Spanish.

The corpus is freely available for download at https://conferences.unite.un.org/UNCorpus
under the terms of use outlined in the attached DISCLAIMER.

The original individual documents are available at the United Nations Official Document
System (ODS) at http://ods.un.org.

Reference:
Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel
Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
task_categories:translation size_categories:10M<n<100M language:es language:zh license:apache-2.0 language translation traducción idiomas chino chinese español spanish Universidad de La Rioja region:us
{"language": ["es", "zh"], "license": "apache-2.0", "size_categories": ["10M<n<100M"], "task_categories": ["translation"], "pretty_name": "Spanish and Chinese aligned sentences", "dataset_info": {"features": [{"name": "spanish", "dtype": "string"}, {"name": "chinese", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3048111118.5537825, "num_examples": 9092567}, {"name": "test", "num_bytes": 762027863.4462174, "num_examples": 2273142}], "download_size": 2473454462, "dataset_size": 3810138982}, "tags": ["language", "translation", "traducci\u00f3n", "idiomas", "chino", "chinese", "espa\u00f1ol", "spanish", "Universidad de La Rioja"]}
TAGS
#task_categories-translation #size_categories-10M<n<100M #language-Spanish #language-Chinese #license-apache-2.0 #language #translation #traducción #idiomas #chino #chinese #español #spanish #Universidad de La Rioja #region-us 

# Dataset Card for "spanish-chinese"

All sensences extracted from the United Nations Parallel Corpus v1.0.

The parallel corpus consists of manually translated United Nations documents for the six
official UN languages, Arabic, Chinese, English, French, Russian, and Spanish.

The corpus is freely available for download at URL
under the terms of use outlined in the attached DISCLAIMER.

The original individual documents are available at the United Nations Official Document
System (ODS) at URL.

Reference:
Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel
Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
# Dataset Card for "spanish-chinese"

All sensences extracted from the United Nations Parallel Corpus v1.0.

The parallel corpus consists of manually translated United Nations documents for the six
official UN languages, Arabic, Chinese, English, French, Russian, and Spanish.

The corpus is freely available for download at URL
under the terms of use outlined in the attached DISCLAIMER.

The original individual documents are available at the United Nations Official Document
System (ODS) at URL.

Reference:
Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel
Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
TAGS
#task_categories-translation #size_categories-10M<n<100M #language-Spanish #language-Chinese #license-apache-2.0 #language #translation #traducción #idiomas #chino #chinese #español #spanish #Universidad de La Rioja #region-us 
 # Dataset Card for "spanish-chinese"

All sensences extracted from the United Nations Parallel Corpus v1.0.

The parallel corpus consists of manually translated United Nations documents for the six
official UN languages, Arabic, Chinese, English, French, Russian, and Spanish.

The corpus is freely available for download at URL
under the terms of use outlined in the attached DISCLAIMER.

The original individual documents are available at the United Nations Official Document
System (ODS) at URL.

Reference:
Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel
Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.