- Description:
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)
Source code:
tfds.translate.Wmt19TranslateVersions:
1.0.0(default): No release notes.
Manual download instructions: This dataset requires you to download the source data manually into
download_config.manual_dir(defaults to~/tensorflow_datasets/downloads/manual/):
Some of the wmt configs here, require a manual download. Please look into wmt.py to see the exact path (and file name) that has to be downloaded.Figure (tfds.show_examples): Not supported.
Citation:
@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"
}
wmt19_translate/cs-en (default config)
Config description: WMT 2019 cs-en translation task dataset.
Download size:
1.88 GiBDataset size:
3.64 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
20,246,548 |
'validation' |
2,983 |
- Feature structure:
Translation({
'cs': Text(shape=(), dtype=string),
'en': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| cs | Text | string | ||
| en | Text | string |
Supervised keys (See
as_superviseddoc):('cs', 'en')Examples (tfds.as_dataframe):
wmt19_translate/de-en
Config description: WMT 2019 de-en translation task dataset.
Download size:
9.71 GiBDataset size:
8.60 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
38,690,334 |
'validation' |
2,998 |
- Feature structure:
Translation({
'de': Text(shape=(), dtype=string),
'en': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| de | Text | string | ||
| en | Text | string |
Supervised keys (See
as_superviseddoc):('de', 'en')Examples (tfds.as_dataframe):
wmt19_translate/fi-en
Config description: WMT 2019 fi-en translation task dataset.
Download size:
959.46 MiBDataset size:
1.46 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
6,587,448 |
'validation' |
3,000 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'fi': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| fi | Text | string |
Supervised keys (See
as_superviseddoc):('fi', 'en')Examples (tfds.as_dataframe):
wmt19_translate/gu-en
Config description: WMT 2019 gu-en translation task dataset.
Download size:
37.03 MiBDataset size:
1.55 MiBAuto-cached (documentation): Yes
Splits:
| Split | Examples |
|---|---|
'train' |
11,670 |
'validation' |
1,998 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'gu': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| gu | Text | string |
Supervised keys (See
as_superviseddoc):('gu', 'en')Examples (tfds.as_dataframe):
wmt19_translate/kk-en
Config description: WMT 2019 kk-en translation task dataset.
Download size:
39.58 MiBDataset size:
11.82 MiBAuto-cached (documentation): Yes
Splits:
| Split | Examples |
|---|---|
'train' |
126,583 |
'validation' |
2,066 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'kk': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| kk | Text | string |
Supervised keys (See
as_superviseddoc):('kk', 'en')Examples (tfds.as_dataframe):
wmt19_translate/lt-en
Config description: WMT 2019 lt-en translation task dataset.
Download size:
392.20 MiBDataset size:
537.26 MiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
2,344,893 |
'validation' |
2,000 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'lt': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| lt | Text | string |
Supervised keys (See
as_superviseddoc):('lt', 'en')Examples (tfds.as_dataframe):
wmt19_translate/ru-en
Config description: WMT 2019 ru-en translation task dataset.
Download size:
1.57 GiBDataset size:
13.95 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
38,492,126 |
'validation' |
3,000 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'ru': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| ru | Text | string |
Supervised keys (See
as_superviseddoc):('ru', 'en')Examples (tfds.as_dataframe):
wmt19_translate/zh-en
Config description: WMT 2019 zh-en translation task dataset.
Download size:
770.91 MiBDataset size:
6.49 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
25,986,436 |
'validation' |
3,981 |
- Feature structure:
Translation({
'en': Text(shape=(), dtype=string),
'zh': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| en | Text | string | ||
| zh | Text | string |
Supervised keys (See
as_superviseddoc):('zh', 'en')Examples (tfds.as_dataframe):
wmt19_translate/fr-de
Config description: WMT 2019 fr-de translation task dataset.
Download size:
722.20 MiBDataset size:
2.39 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
9,824,476 |
'validation' |
1,512 |
- Feature structure:
Translation({
'de': Text(shape=(), dtype=string),
'fr': Text(shape=(), dtype=string),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| Translation | ||||
| de | Text | string | ||
| fr | Text | string |
Supervised keys (See
as_superviseddoc):('fr', 'de')Examples (tfds.as_dataframe):