Datasets:
metadata
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: []
pretty_name: WMT14
paperswithcode_id: wmt-2014
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: 1616.49 MB
- Size of the generated dataset: 269.84 MB
- Total amount of disk used: 1886.33 MB
Dataset Summary
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: 1616.49 MB
- Size of the generated dataset: 269.84 MB
- Total amount of disk used: 1886.33 MB
An example of 'train' looks as follows.
Data Fields
The data fields are the same among all splits.
cs-en
translation: a multilingualstringvariable, 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.