Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- cs
- de
- en
- fi
- ro
- ru
- tr
license:
- unknown
multilinguality:
- translation
size_categories:
- 10M<n<100M
source_datasets:
- extended|europarl_bilingual
- extended|news_commentary
- extended|setimes
- extended|un_multi
task_categories:
- translation
task_ids: []
paperswithcode_id: wmt-2016
pretty_name: WMT16
dataset_info:
- config_name: cs-en
features:
- name: translation
dtype:
translation:
languages:
- cs
- en
splits:
- name: train
num_bytes: 295995226
num_examples: 997240
- name: validation
num_bytes: 572195
num_examples: 2656
- name: test
num_bytes: 707862
num_examples: 2999
download_size: 178250444
dataset_size: 297275283
- config_name: de-en
features:
- name: translation
dtype:
translation:
languages:
- de
- en
splits:
- name: train
num_bytes: 1373099816
num_examples: 4548885
- name: validation
num_bytes: 522981
num_examples: 2169
- name: test
num_bytes: 735508
num_examples: 2999
download_size: 827152589
dataset_size: 1374358305
- config_name: fi-en
features:
- name: translation
dtype:
translation:
languages:
- fi
- en
splits:
- name: train
num_bytes: 605146827
num_examples: 2073394
- name: validation
num_bytes: 306335
num_examples: 1370
- name: test
num_bytes: 1410515
num_examples: 6000
download_size: 273390220
dataset_size: 606863677
- config_name: ro-en
features:
- name: translation
dtype:
translation:
languages:
- ro
- en
splits:
- name: train
num_bytes: 188288211
num_examples: 610320
- name: validation
num_bytes: 561799
num_examples: 1999
- name: test
num_bytes: 539216
num_examples: 1999
download_size: 287363574
dataset_size: 189389226
- config_name: ru-en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: train
num_bytes: 448338585
num_examples: 1516162
- name: validation
num_bytes: 955972
num_examples: 2818
- name: test
num_bytes: 1050677
num_examples: 2998
download_size: 1042119564
dataset_size: 450345234
- 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: 240650
num_examples: 1001
- name: test
num_bytes: 732436
num_examples: 3000
download_size: 62263061
dataset_size: 61389703
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-*
Dataset Card for "wmt16"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.statmt.org/wmt16/translation-task.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1.69 GB
- Size of the generated dataset: 297.28 MB
- Total amount of disk used: 1.99 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("wmt16", "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: 1.69 GB
- Size of the generated dataset: 297.28 MB
- Total amount of disk used: 1.99 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 | 997240 | 2656 | 2999 |
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:2016:WMT1,
author = {Bojar, Ond
{r}ej and Chatterjee, Rajen and Federmann, Christian and Graham, Yvette and Haddow, Barry and Huck, Matthias and Jimeno Yepes, Antonio and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Neveol, Aurelie and Neves, Mariana and Popel, Martin and Post, Matt and Rubino, Raphael and Scarton, Carolina and Specia, Lucia and Turchi, Marco and Verspoor, Karin and Zampieri, Marcos},
title = {Findings of the 2016 Conference on Machine Translation},
booktitle = {Proceedings of the First Conference on Machine Translation},
month = {August},
year = {2016},
address = {Berlin, Germany},
publisher = {Association for Computational Linguistics},
pages = {131--198},
url = {http://www.aclweb.org/anthology/W/W16/W16-2301}
}
Contributions
Thanks to @thomwolf, @patrickvonplaten for adding this dataset.