Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- cs
- de
- en
- et
- fi
- kk
- ru
- tr
- zh
license:
- unknown
multilinguality:
- translation
size_categories:
- 10M<n<100M
source_datasets:
- extended|europarl_bilingual
- extended|news_commentary
- extended|opus_paracrawl
- extended|setimes
- extended|un_multi
task_categories:
- translation
task_ids: []
paperswithcode_id: wmt-2018
pretty_name: WMT18
dataset_info:
- config_name: cs-en
features:
- name: translation
dtype:
translation:
languages:
- cs
- en
splits:
- name: train
num_bytes: 1461007346
num_examples: 11046024
- name: validation
num_bytes: 674422
num_examples: 3005
- name: test
num_bytes: 696221
num_examples: 2983
download_size: 738874648
dataset_size: 1462377989
- config_name: de-en
features:
- name: translation
dtype:
translation:
languages:
- de
- en
splits:
- name: train
num_bytes: 8187518284
num_examples: 42271874
- name: validation
num_bytes: 729511
num_examples: 3004
- name: test
num_bytes: 757641
num_examples: 2998
download_size: 4436297213
dataset_size: 8189005436
- config_name: et-en
features:
- name: translation
dtype:
translation:
languages:
- et
- en
splits:
- name: train
num_bytes: 647990923
num_examples: 2175873
- name: validation
num_bytes: 459390
num_examples: 2000
- name: test
num_bytes: 489386
num_examples: 2000
download_size: 283931426
dataset_size: 648939699
- config_name: fi-en
features:
- name: translation
dtype:
translation:
languages:
- fi
- en
splits:
- name: train
num_bytes: 857169249
num_examples: 3280600
- name: validation
num_bytes: 1388820
num_examples: 6004
- name: test
num_bytes: 691833
num_examples: 3000
download_size: 488708706
dataset_size: 859249902
- config_name: kk-en
features:
- name: translation
dtype:
translation:
languages:
- kk
- en
splits:
- name: train
- name: validation
- name: test
download_size: 0
dataset_size: 0
- config_name: ru-en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: train
num_bytes: 13665338159
num_examples: 36858512
- name: validation
num_bytes: 1040187
num_examples: 3001
- name: test
num_bytes: 1085588
num_examples: 3000
download_size: 6130744133
dataset_size: 13667463934
- config_name: tr-en
features:
- name: translation
dtype:
translation:
languages:
- tr
- en
splits:
- name: train
num_bytes: 60416617
num_examples: 205756
- name: validation
num_bytes: 752773
num_examples: 3007
- name: test
num_bytes: 770313
num_examples: 3000
download_size: 62263061
dataset_size: 61939703
- config_name: zh-en
features:
- name: translation
dtype:
translation:
languages:
- zh
- en
splits:
- name: train
num_bytes: 5536169801
num_examples: 25160346
- name: validation
num_bytes: 540347
num_examples: 2001
- name: test
num_bytes: 1107522
num_examples: 3981
download_size: 2259428767
dataset_size: 5537817670
configs:
- config_name: cs-en
data_files:
- split: train
path: cs-en/train-*
- split: validation
path: cs-en/validation-*
- split: test
path: cs-en/test-*
- config_name: de-en
data_files:
- split: train
path: de-en/train-*
- split: validation
path: de-en/validation-*
- split: test
path: de-en/test-*
- config_name: et-en
data_files:
- split: train
path: et-en/train-*
- split: validation
path: et-en/validation-*
- split: test
path: et-en/test-*
- config_name: fi-en
data_files:
- split: train
path: fi-en/train-*
- split: validation
path: fi-en/validation-*
- split: test
path: fi-en/test-*
- config_name: ru-en
data_files:
- split: train
path: ru-en/train-*
- split: validation
path: ru-en/validation-*
- split: test
path: ru-en/test-*
Dataset Card for "wmt18"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.statmt.org/wmt18/translation-task.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 2.03 GB
- Size of the generated dataset: 1.46 GB
- Total amount of disk used: 3.49 GB
Dataset Summary
Warning: There are issues with the Common Crawl corpus data (training-parallel-commoncrawl.tgz):
- Non-English files contain many English sentences.
- Their "parallel" sentences in English are not aligned: they are uncorrelated with their counterpart.
We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains to the expectation that such data has been superseded, primarily by CCMatrix, and to some extent, by ParaCrawl datasets.
Translation dataset based on the data from statmt.org.
Versions exist for different years using a combination of data
sources. The base wmt
allows you to create a custom dataset by choosing
your own data/language pair. This can be done as follows:
from datasets import inspect_dataset, load_dataset_builder
inspect_dataset("wmt18", "path/to/scripts")
builder = load_dataset_builder(
"path/to/scripts/wmt_utils.py",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
# Standard version
builder.download_and_prepare()
ds = builder.as_dataset()
# Streamable version
ds = builder.as_streaming_dataset()
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
cs-en
- Size of downloaded dataset files: 2.03 GB
- Size of the generated dataset: 1.46 GB
- Total amount of disk used: 3.49 GB
An example of 'validation' looks as follows.
Data Fields
The data fields are the same among all splits.
cs-en
translation
: a multilingualstring
variable, with possible languages includingcs
,en
.
Data Splits
name | train | validation | test |
---|---|---|---|
cs-en | 11046024 | 3005 | 2983 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@InProceedings{bojar-EtAl:2018:WMT1,
author = {Bojar, Ond
{r}ej and Federmann, Christian and Fishel, Mark
and Graham, Yvette and Haddow, Barry and Huck, Matthias and
Koehn, Philipp and Monz, Christof},
title = {Findings of the 2018 Conference on Machine Translation (WMT18)},
booktitle = {Proceedings of the Third Conference on Machine Translation,
Volume 2: Shared Task Papers},
month = {October},
year = {2018},
address = {Belgium, Brussels},
publisher = {Association for Computational Linguistics},
pages = {272--307},
url = {http://www.aclweb.org/anthology/W18-6401}
}
Contributions
Thanks to @thomwolf, @patrickvonplaten for adding this dataset.