References:
cs-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/cs-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
7270695 |
'validation' |
2983 |
- Features:
{
"translation": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
}
}
de-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/de-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
38690334 |
'validation' |
2998 |
- Features:
{
"translation": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
}
}
fi-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/fi-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
6587448 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"fi",
"en"
],
"id": null,
"_type": "Translation"
}
}
gu-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/gu-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
11670 |
'validation' |
1998 |
- Features:
{
"translation": {
"languages": [
"gu",
"en"
],
"id": null,
"_type": "Translation"
}
}
kk-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/kk-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
126583 |
'validation' |
2066 |
- Features:
{
"translation": {
"languages": [
"kk",
"en"
],
"id": null,
"_type": "Translation"
}
}
lt-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/lt-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
2344893 |
'validation' |
2000 |
- Features:
{
"translation": {
"languages": [
"lt",
"en"
],
"id": null,
"_type": "Translation"
}
}
ru-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/ru-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
37492126 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"ru",
"en"
],
"id": null,
"_type": "Translation"
}
}
zh-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/zh-en')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
25984574 |
'validation' |
3981 |
- Features:
{
"translation": {
"languages": [
"zh",
"en"
],
"id": null,
"_type": "Translation"
}
}
fr-de
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt19/fr-de')
- 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 `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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
9824476 |
'validation' |
1512 |
- Features:
{
"translation": {
"languages": [
"fr",
"de"
],
"id": null,
"_type": "Translation"
}
}