Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- cs
- de
- en
- fr
- hi
- ru
license:
- unknown
multilinguality:
- translation
size_categories:
- 10M<n<100M
source_datasets:
- extended|europarl_bilingual
- extended|giga_fren
- extended|news_commentary
- extended|un_multi
- extended|hind_encorp
task_categories:
- translation
task_ids: []
paperswithcode_id: wmt-2014
pretty_name: WMT14
dataset_info:
- config_name: cs-en
features:
- name: translation
dtype:
translation:
languages:
- cs
- en
splits:
- name: train
num_bytes: 280992026
num_examples: 953621
- name: validation
num_bytes: 702465
num_examples: 3000
- name: test
num_bytes: 757809
num_examples: 3003
download_size: 168878237
dataset_size: 282452300
- config_name: de-en
features:
- name: translation
dtype:
translation:
languages:
- de
- en
splits:
- name: train
num_bytes: 1358406800
num_examples: 4508785
- name: validation
num_bytes: 736407
num_examples: 3000
- name: test
num_bytes: 777326
num_examples: 3003
download_size: 818467512
dataset_size: 1359920533
- config_name: fr-en
features:
- name: translation
dtype:
translation:
languages:
- fr
- en
splits:
- name: train
num_bytes: 14752522252
num_examples: 40836715
- name: validation
num_bytes: 744439
num_examples: 3000
- name: test
num_bytes: 838849
num_examples: 3003
download_size: 7777527744
dataset_size: 14754105540
- config_name: hi-en
features:
- name: translation
dtype:
translation:
languages:
- hi
- en
splits:
- name: train
num_bytes: 1936003
num_examples: 32863
- name: validation
num_bytes: 181457
num_examples: 520
- name: test
num_bytes: 1075008
num_examples: 2507
download_size: 1583004
dataset_size: 3192468
- config_name: ru-en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: train
num_bytes: 433209078
num_examples: 1486965
- name: validation
num_bytes: 977938
num_examples: 3000
- name: test
num_bytes: 1087738
num_examples: 3003
download_size: 223537244
dataset_size: 435274754
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: fr-en
data_files:
- split: train
path: fr-en/train-*
- split: validation
path: fr-en/validation-*
- split: test
path: fr-en/test-*
- config_name: hi-en
data_files:
- split: train
path: hi-en/train-*
- split: validation
path: hi-en/validation-*
- split: test
path: hi-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 "wmt14"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.statmt.org/wmt14/translation-task.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1.70 GB
- Size of the generated dataset: 282.95 MB
- Total amount of disk used: 1.98 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("wmt14", "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: 1.70 GB
- Size of the generated dataset: 282.95 MB
- Total amount of disk used: 1.98 GB
An example of 'train' 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 | 953621 | 3000 | 3003 |
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:2014:W14-33,
author = {Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna, Ale
{s}},
title = {Findings of the 2014 Workshop on Statistical Machine Translation},
booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},
month = {June},
year = {2014},
address = {Baltimore, Maryland, USA},
publisher = {Association for Computational Linguistics},
pages = {12--58},
url = {http://www.aclweb.org/anthology/W/W14/W14-3302}
}
Contributions
Thanks to @thomwolf, @patrickvonplaten for adding this dataset.