Dataset:
Dataset Card for "wmt15"
Dataset Summary
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base wmt_translate
allows you to create your own config to choose
your own data/language pair by creating a custom datasets.translate.wmt.WmtConfig
.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
Supported Tasks
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
cs-en
- Size of downloaded dataset files: 1659.14 MB
- Size of the generated dataset: 271.17 MB
- Total amount of disk used: 1930.31 MB
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 Sample Size
name | train | validation | test |
---|---|---|---|
cs-en | 959768 | 3003 | 2656 |
Dataset Creation
Curation Rationale
Source Data
Annotations
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:2015:WMT,
author = {Bojar, Ond{r}ej and Chatterjee, Rajen and Federmann, Christian and Haddow, Barry and Huck, Matthias and Hokamp, Chris and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Scarton, Carolina and Specia, Lucia and Turchi, Marco},
title = {Findings of the 2015 Workshop on Statistical Machine Translation},
booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation},
month = {September},
year = {2015},
address = {Lisbon, Portugal},
publisher = {Association for Computational Linguistics},
pages = {1--46},
url = {http://aclweb.org/anthology/W15-3001}
}
Contributions
Thanks to @thomwolf, @patrickvonplaten for adding this dataset.
Homepage:
statmt.org
Size of downloaded dataset files:
1659.14 MB
Size of the generated dataset:
271.17 MB
Total amount of disk used:
1930.31 MB
Models trained or fine-tuned on wmt15
None yet