Datasets:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
1afb4e7
metadata
annotations_creators:
- no-annotation
language_creators:
- found
language:
- cs
- de
- en
- fi
- fr
- gu
- kk
- lt
- ru
- zh
license:
- unknown
multilinguality:
- translation
size_categories:
- 10M<n<100M
source_datasets:
- extended|europarl_bilingual
- extended|news_commentary
- extended|opus_paracrawl
- extended|un_multi
task_categories:
- translation
task_ids: []
pretty_name: WMT19
paperswithcode_id: null
dataset_info:
- config_name: cs-en
features:
- name: translation
dtype:
translation:
languages:
- cs
- en
splits:
- name: train
num_bytes: 1314871994
num_examples: 7270695
- name: validation
num_bytes: 696229
num_examples: 2983
download_size: 2018537046
dataset_size: 1315568223
- config_name: de-en
features:
- name: translation
dtype:
translation:
languages:
- de
- en
splits:
- name: train
num_bytes: 8420967590
num_examples: 38690334
- name: validation
num_bytes: 757649
num_examples: 2998
download_size: 10422475109
dataset_size: 8421725239
- config_name: fi-en
features:
- name: translation
dtype:
translation:
languages:
- fi
- en
splits:
- name: train
num_bytes: 1422922267
num_examples: 6587448
- name: validation
num_bytes: 691841
num_examples: 3000
download_size: 1006124909
dataset_size: 1423614108
- config_name: gu-en
features:
- name: translation
dtype:
translation:
languages:
- gu
- en
splits:
- name: train
num_bytes: 590763
num_examples: 11670
- name: validation
num_bytes: 774621
num_examples: 1998
download_size: 38891457
dataset_size: 1365384
- config_name: kk-en
features:
- name: translation
dtype:
translation:
languages:
- kk
- en
splits:
- name: train
num_bytes: 9157438
num_examples: 126583
- name: validation
num_bytes: 846857
num_examples: 2066
download_size: 41558315
dataset_size: 10004295
- config_name: lt-en
features:
- name: translation
dtype:
translation:
languages:
- lt
- en
splits:
- name: train
num_bytes: 513084361
num_examples: 2344893
- name: validation
num_bytes: 541953
num_examples: 2000
download_size: 411309952
dataset_size: 513626314
- config_name: ru-en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: train
num_bytes: 13721377178
num_examples: 37492126
- name: validation
num_bytes: 1085596
num_examples: 3000
download_size: 4134147853
dataset_size: 13722462774
- config_name: zh-en
features:
- name: translation
dtype:
translation:
languages:
- zh
- en
splits:
- name: train
num_bytes: 5584359748
num_examples: 25984574
- name: validation
num_bytes: 1107522
num_examples: 3981
download_size: 2195879129
dataset_size: 5585467270
- config_name: fr-de
features:
- name: translation
dtype:
translation:
languages:
- fr
- de
splits:
- name: train
num_bytes: 2358413485
num_examples: 9824476
- name: validation
num_bytes: 441426
num_examples: 1512
download_size: 757345846
dataset_size: 2358854911
Dataset Card for "wmt19"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.statmt.org/wmt19/translation-task.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 2.02 GB
- Size of the generated dataset: 1.32 GB
- Total amount of disk used: 3.33 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("wmt19", "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: 2.02 GB
- Size of the generated dataset: 1.32 GB
- Total amount of disk used: 3.33 GB
An example of 'validation' 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 |
|---|---|---|
| cs-en | 7270695 | 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
@ONLINE {wmt19translate,
author = "Wikimedia Foundation",
title = "ACL 2019 Fourth Conference on Machine Translation (WMT19), Shared Task: Machine Translation of News",
url = "http://www.statmt.org/wmt19/translation-task.html"
}
Contributions
Thanks to @patrickvonplaten, @mariamabarham, @thomwolf for adding this dataset.