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 tfds.translate.wmt.WmtConfig.
config = tfds.translate.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
tfds.Split.TRAIN: ["commoncrawl_frde"],
tfds.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = tfds.builder("wmt_translate", config=config)
- URL: http://www.statmt.org/wmt18/translation-task.html
DatasetBuilder:tfds.translate.wmt18.Wmt18Translate
wmt18_translate is configured with tfds.translate.wmt.WmtConfig and has the
following configurations predefined (defaults to the first one):
cs-en(v0.0.3) (Size: 1.89 GiB): WMT 2018 cs-en translation task dataset.de-en(v0.0.3) (Size: 3.55 GiB): WMT 2018 de-en translation task dataset.et-en(v0.0.3) (Size: 499.91 MiB): WMT 2018 et-en translation task dataset.fi-en(v0.0.3) (Size: 468.76 MiB): WMT 2018 fi-en translation task dataset.kk-en(v0.0.3) (Size: ?? GiB): WMT 2018 kk-en translation task dataset.ru-en(v0.0.3) (Size: 3.91 GiB): WMT 2018 ru-en translation task dataset.tr-en(v0.0.3) (Size: 59.32 MiB): WMT 2018 tr-en translation task dataset.zh-en(v0.0.3) (Size: 2.10 GiB): WMT 2018 zh-en translation task dataset.
wmt18_translate/cs-en
WMT 2018 cs-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 68,117,370 |
| TRAIN | 68,111,382 |
| VALIDATION | 3,005 |
| TEST | 2,983 |
Features
Translation({
'cs': Text(shape=(), dtype=tf.string),
'en': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'cs', u'en')
wmt18_translate/de-en
WMT 2018 de-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 42,277,876 |
| TRAIN | 42,271,874 |
| VALIDATION | 3,004 |
| TEST | 2,998 |
Features
Translation({
'de': Text(shape=(), dtype=tf.string),
'en': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'de', u'en')
wmt18_translate/et-en
WMT 2018 et-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 2,179,873 |
| TRAIN | 2,175,873 |
| TEST | 2,000 |
| VALIDATION | 2,000 |
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'et': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'et', u'en')
wmt18_translate/fi-en
WMT 2018 fi-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 3,289,604 |
| TRAIN | 3,280,600 |
| VALIDATION | 6,004 |
| TEST | 3,000 |
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'fi': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'fi', u'en')
wmt18_translate/kk-en
WMT 2018 kk-en translation task dataset.
Versions:
0.0.3(default):
Statistics
None computed
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'kk': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'kk', u'en')
wmt18_translate/ru-en
WMT 2018 ru-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 37,864,513 |
| TRAIN | 37,858,512 |
| VALIDATION | 3,001 |
| TEST | 3,000 |
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'ru': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'ru', u'en')
wmt18_translate/tr-en
WMT 2018 tr-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 211,763 |
| TRAIN | 205,756 |
| VALIDATION | 3,007 |
| TEST | 3,000 |
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'tr': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'tr', u'en')
wmt18_translate/zh-en
WMT 2018 zh-en translation task dataset.
Versions:
0.0.3(default):
Statistics
| Split | Examples |
|---|---|
| ALL | 25,168,191 |
| TRAIN | 25,162,209 |
| TEST | 3,981 |
| VALIDATION | 2,001 |
Features
Translation({
'en': Text(shape=(), dtype=tf.string),
'zh': Text(shape=(), dtype=tf.string),
})
Urls
Supervised keys (for as_supervised=True)
(u'zh', u'en')
Citation
@InProceedings{bojar-EtAl:2018:WMT1,
author = {Bojar, Ond
{r}ej and Federmann, Christian and Fishel, Mark
and Graham, Yvette and Haddow, Barry and Huck, Matthias and
Koehn, Philipp and Monz, Christof},
title = {Findings of the 2018 Conference on Machine Translation (WMT18)},
booktitle = {Proceedings of the Third Conference on Machine Translation,
Volume 2: Shared Task Papers},
month = {October},
year = {2018},
address = {Belgium, Brussels},
publisher = {Association for Computational Linguistics},
pages = {272--307},
url = {http://www.aclweb.org/anthology/W18-6401}
}