Datasets:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
e30b492
metadata
annotations_creators:
- no-annotation
language_creators:
- found
language:
- cs
- de
- en
- fi
- lv
- ru
- tr
- zh
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: []
pretty_name: WMT17
paperswithcode_id: null
dataset_info:
- config_name: cs-en
features:
- name: translation
dtype:
translation:
languages:
- cs
- en
splits:
- name: train
num_bytes: 300698431
num_examples: 1018291
- name: validation
num_bytes: 707870
num_examples: 2999
- name: test
num_bytes: 674430
num_examples: 3005
download_size: 1784240523
dataset_size: 302080731
- config_name: de-en
features:
- name: translation
dtype:
translation:
languages:
- de
- en
splits:
- name: train
num_bytes: 1715537443
num_examples: 5906184
- name: validation
num_bytes: 735516
num_examples: 2999
- name: test
num_bytes: 729519
num_examples: 3004
download_size: 1945382236
dataset_size: 1717002478
- config_name: fi-en
features:
- name: translation
dtype:
translation:
languages:
- fi
- en
splits:
- name: train
num_bytes: 743856525
num_examples: 2656542
- name: validation
num_bytes: 1410515
num_examples: 6000
- name: test
num_bytes: 1388828
num_examples: 6004
download_size: 434531933
dataset_size: 746655868
- config_name: lv-en
features:
- name: translation
dtype:
translation:
languages:
- lv
- en
splits:
- name: train
num_bytes: 517419100
num_examples: 3567528
- name: validation
num_bytes: 544604
num_examples: 2003
- name: test
num_bytes: 530474
num_examples: 2001
download_size: 169634544
dataset_size: 518494178
- config_name: ru-en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: train
num_bytes: 11000075522
num_examples: 24782720
- name: validation
num_bytes: 1050677
num_examples: 2998
- name: test
num_bytes: 1040195
num_examples: 3001
download_size: 3582640660
dataset_size: 11002166394
- 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: 732436
num_examples: 3000
- name: test
num_bytes: 752773
num_examples: 3007
download_size: 62263061
dataset_size: 61901826
- config_name: zh-en
features:
- name: translation
dtype:
translation:
languages:
- zh
- en
splits:
- name: train
num_bytes: 5529286149
num_examples: 25134743
- name: validation
num_bytes: 589591
num_examples: 2002
- name: test
num_bytes: 540347
num_examples: 2001
download_size: 2314906945
dataset_size: 5530416087
Dataset Card for "wmt17"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.statmt.org/wmt17/translation-task.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1.78 GB
- Size of the generated dataset: 302.09 MB
- Total amount of disk used: 2.09 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.
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("wmt17", "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: 1.78 GB
- Size of the generated dataset: 302.09 MB
- Total amount of disk used: 2.09 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 | 1018291 | 2999 | 3005 |
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:2017:WMT1,
author = {Bojar, Ond
{r}ej and Chatterjee, Rajen and Federmann, Christian and Graham, Yvette and Haddow, Barry and Huang, Shujian and Huck, Matthias and Koehn, Philipp and Liu, Qun and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Rubino, Raphael and Specia, Lucia and Turchi, Marco},
title = {Findings of the 2017 Conference on Machine Translation (WMT17)},
booktitle = {Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers},
month = {September},
year = {2017},
address = {Copenhagen, Denmark},
publisher = {Association for Computational Linguistics},
pages = {169--214},
url = {http://www.aclweb.org/anthology/W17-4717}
}
Contributions
Thanks to @patrickvonplaten, @thomwolf for adding this dataset.